Future blood testing for inclusive monitoring and personalised analytics Network+
Lead Research Organisation:
University of Reading
Department Name: Business Informatics, Systems and Accoun
Abstract
There is an extremely high demand for laboratory-based blood tests from community settings in the UK and analysis suggests an important role in the future for remote blood monitoring that would enable patients and health professionals to carry out their own tests remotely, greatly benefiting patients and speeding up decision making. The COVID-19 pandemic has further highlighted the need for remote and connected blood testing that is beyond the online virtual clinics in the NHS outpatient setting. In current blood testing services for community healthcare, it is challenging to obtain and process blood samples outside of the clinical setting without training and lab facilities, and patients are required to attend a GP surgery or hospital for tests with travel burden and infection risk. Many blood analyses are done in batches that take a long time to build up, meaning the speed of blood sample analysis of routine tests and time taken for diagnosis are further challenges. Despite recent innovations in point of care, current blood analysis tools in practice are mainly mechanical or labour-intensive that require extensive filtering and manual tweaking and not suitable for regular at-home monitoring and longitudinal analytics. There is no personalised real-time approach available to inform disease complexity and conditions over time, which are critical for early detection of acute diseases and the management of chronic conditions. In England, around 95% of clinical pathways rely on patients having access to efficient, timely and cost-effective pathology services and there are 500 million biochemistry and 130 million haematology tests are carried out per year. This means inefficient and infrequent blood testing leads to late diagnosis, incomplete knowledge of disease progression and potential complications in a wide range of populations. Taking those challenges into account and current digital transformation in healthcare, this is a timely opportunity to bring researchers, clinicians and industrialist together to address the challenges of blood monitoring and analytics.
The proposed Network+ will build an interdisciplinary community that will explore future blood testing solutions to achieve remote, inclusive, rapid, affordable and personalised blood monitoring, and address the above challenges in community health and care. To achieve the Network+ vision, research of technologies will be conducted from collaborations among information and communication technology (ICT), data and analytical science, clinical science, applied optics, biochemistry, engineering and social sciences in the Network+. The network will address three key technical challenges in blood testing: Remote monitoring, ICT, Personalised data and AI in a range of examplar clinical areas including cancer, autoimmune diseases, sickle cell disease, preoperative care, pathology services and general primary care.
The proposed Network+ will build an interdisciplinary community that will explore future blood testing solutions to achieve remote, inclusive, rapid, affordable and personalised blood monitoring, and address the above challenges in community health and care. To achieve the Network+ vision, research of technologies will be conducted from collaborations among information and communication technology (ICT), data and analytical science, clinical science, applied optics, biochemistry, engineering and social sciences in the Network+. The network will address three key technical challenges in blood testing: Remote monitoring, ICT, Personalised data and AI in a range of examplar clinical areas including cancer, autoimmune diseases, sickle cell disease, preoperative care, pathology services and general primary care.
Organisations
- University of Reading (Lead Research Organisation)
- Karolinska Institute (Collaboration, Project Partner)
- University of Warwick (Collaboration)
- UNIVERSITY OF STRATHCLYDE (Collaboration)
- Massachusetts Institute of Technology (Collaboration, Project Partner)
- UNIVERSITY HOSPITALS COVENTRY AND WARWICKSHIRE NHS TRUST (Collaboration)
- University College London Hospitals NHS Foundation Trust (Collaboration)
- University of Hawaii (Collaboration)
- British Standards Institute (BSI Group) (Collaboration)
- Stanford University (Collaboration)
- Chinese University of Hong Kong (Collaboration)
- CAMBRIDGE UNIVERSITY HOSPITALS NHS FOUNDATION TRUST (Collaboration)
- UNIVERSITY OF SOUTHAMPTON (Collaboration)
- Sensyne Health (Collaboration, Project Partner)
- ROYAL BERKSHIRE NHS FOUNDATION TRUST (Collaboration)
- University College London (Collaboration)
- UNIVERSITY OF NOTTINGHAM (Collaboration)
- Royal Holloway, University of London (Collaboration)
- Victoria Hospital (Collaboration)
- UNIVERSITY OF CAMBRIDGE (Collaboration)
- UNIVERSITY OF OXFORD (Collaboration)
- BRUNEL UNIVERSITY LONDON (Collaboration)
- UNIVERSITY OF KENT (Collaboration)
- UNIVERSITY OF BRITISH COLUMBIA (Collaboration)
- KING'S COLLEGE LONDON (Collaboration)
- Oxford Immune Algorithmics (Project Partner)
- Draper & Dash Healthcare (Project Partner)
- Imperial College London (Project Partner)
- Royal Berkshire NHS Foundation Trust (Project Partner)
- Stanford University (Project Partner)
- Cambridge University Hospitals NHS Foundation Trust (Project Partner)
- Chinese University of Hong Kong (Project Partner)
- University College London (Project Partner)
- University of Kent (Project Partner)
- Diabetes Digital Media (Project Partner)
- University Hospital Coventry (Project Partner)
- Humanity Vision Limited (Project Partner)
- University of British Columbia (Project Partner)
- Medici Medical Practice (Project Partner)
Publications
Mears L
(2021)
Structural Evidence for a Reinforcing Response and Retention of Hydration During Confinement of Cartilage Lipids
in Frontiers in Physics
Zec N
(2021)
Mutually Beneficial Combination of Molecular Dynamics Computer Simulations and Scattering Experiments.
in Membranes
Wieser V
(2021)
Hydration Forces Dominate Surface Charge Dependent Lipid Bilayer Interactions under Physiological Conditions.
in The journal of physical chemistry letters
Armstrong A
(2021)
Towards a neutron and X-ray reflectometry environment for the study of solid-liquid interfaces under shear
in Scientific Reports
Mustafa A
(2022)
A flow-through microfluidic chip for continuous dielectrophoretic separation of viable and non-viable human T-cells.
in Electrophoresis
Díaz-Fernández A
(2022)
An impedimetric immunosensor for the selective detection of CD34+ T-cells in human serum
in Sensors and Actuators B: Chemical
McManus R
(2022)
Thermography for disease detection in livestock: A scoping review.
in Frontiers in veterinary science
Title | "Tiny Test Tubes" for affordable microfluidic blood measurements at the point of need - Dr Alexander Edwards (University of Reading) |
Description | This video is the tenth talk from our two day Future Blood Testing: Challenges & Opportunities Event that took place on the 14/09/2022. "Tiny Test Tubes" for affordable microfluidic blood measurements at the point of need - Dr Alexander Edwards (University of Reading) Bio: Al Edwards has a background in fundamental immunology combined with expertise in biochemical engineering, he is an interdisciplinary researcher focussed on solving current and future healthcare challenges using an engineering science approach that combines a range of fields from biology, biochemistry, chemistry and physics. He works at the interface between academic technology discovery and industrial development and have experience of both fundamental research and the commercialisation of new technology. The two main challenges he currently works on are the development of affordable microfluidics for clinical diagnostics and microbiology, and the engineering science of complex biologic therapeutics such as vaccines. Alexander's research is funded from a wide range of sources, including NIHR , EPSRC, SBRI Healthcare, the Wellcome Trust, Innovate UK and industry Further details on this event can be found at: https://futurebloodtesting.org/event/13-14-09-2022/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://youtu.be/21a78Vql8b0 |
Type Of Art | Film/Video/Animation |
Year Produced | 2022 |
Impact | This video showcases our conference which brought a diverse set of community members together to discuss the research challenges and opportunities of future blood testing. |
URL | https://zenodo.org/record/7117170 |
Title | "Tiny Test Tubes" for affordable microfluidic blood measurements at the point of need - Dr Alexander Edwards (University of Reading) |
Description | This video is the tenth talk from our two day Future Blood Testing: Challenges & Opportunities Event that took place on the 14/09/2022. "Tiny Test Tubes" for affordable microfluidic blood measurements at the point of need - Dr Alexander Edwards (University of Reading) Bio: Al Edwards has a background in fundamental immunology combined with expertise in biochemical engineering, he is an interdisciplinary researcher focussed on solving current and future healthcare challenges using an engineering science approach that combines a range of fields from biology, biochemistry, chemistry and physics. He works at the interface between academic technology discovery and industrial development and have experience of both fundamental research and the commercialisation of new technology. The two main challenges he currently works on are the development of affordable microfluidics for clinical diagnostics and microbiology, and the engineering science of complex biologic therapeutics such as vaccines. Alexander's research is funded from a wide range of sources, including NIHR , EPSRC, SBRI Healthcare, the Wellcome Trust, Innovate UK and industry Further details on this event can be found at: https://futurebloodtesting.org/event/13-14-09-2022/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://youtu.be/21a78Vql8b0 |
Type Of Art | Film/Video/Animation |
Year Produced | 2022 |
Impact | About 100 participants, both in person and online, attended the presentation, including clinicians, patients, and academics. |
URL | https://zenodo.org/record/7117169 |
Title | AI3SD Video: Introducing the Future Blood Testing Network |
Description | The Future Blood Testing Network+ is a new Network funded by EPSRC. We are aiming to build a multi-disciplinary community to develop digital health technologies for remote, rapid, affordable and inclusive monitoring and personalised analytics. This presentation will introduce our Network, detailing our plans for the next three years, in particular highlighting the funding calls and opportunities that will be relevant to the AI4SD Community. |
Type Of Art | Film/Video/Animation |
Year Produced | 2022 |
Impact | This talk introduced the Future Blood Testing Network to the AI4SD network community, through this the Future Blood Testing Network gained some new members. It received 78 views. |
URL | https://eprints.soton.ac.uk/id/eprint/468627 |
Title | Artificial intelligence for identification of blood cells - Prof Huiyu Zhou (University of Leicester) |
Description | This video is the eleventh talk from our two day Future Blood Testing: Challenges & Opportunities Event that took place on the 14/09/2022. Artificial intelligence for identification of blood cells - Prof Huiyu Zhou (University of Leicester) Bio: Prof. Huiyu Zhou received a Bachelor of Engineering degree in Radio Technology from Huazhong University of Science and Technology of China, and a Master of Science degree in Biomedical Engineering from University of Dundee of United Kingdom, respectively. He was awarded a Doctor of Philosophy degree in Computer Vision from Heriot-Watt University, Edinburgh, United Kingdom. Dr. Zhou currently is a full Professor at School of Computing and Mathematical Sciences, University of Leicester, United Kingdom. He has published over 400 peer-reviewed papers in the field. He was the recipient of "CVIU 2012 Most Cited Paper Award", "MIUA 2020 Best Paper Award", "ICPRAM 2016 Best Paper Award" and was nominated for "ICPRAM 2017 Best Student Paper Award" and "MBEC 2006 Nightingale Prize". His research work has been or is being supported by UK EPSRC, ESRC, AHRC, MRC, EU, Royal Society, Leverhulme Trust, Puffin Trust, Alzheimer's Research UK, Invest NI and industry. Homepage: https://le.ac.uk/people/huiyu-zhou. Further details on this event can be found at: https://futurebloodtesting.org/event/13-14-09-2022/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://youtu.be/N5AjIUAwYp4 |
Type Of Art | Film/Video/Animation |
Year Produced | 2022 |
Impact | This video showcases our conference which brought a diverse set of community members together to discuss the research challenges and opportunities of future blood testing. |
URL | https://zenodo.org/record/7117192 |
Title | Artificial intelligence for identification of blood cells - Prof Huiyu Zhou (University of Leicester) |
Description | This video is the eleventh talk from our two day Future Blood Testing: Challenges & Opportunities Event that took place on the 14/09/2022. Artificial intelligence for identification of blood cells - Prof Huiyu Zhou (University of Leicester) Bio: Prof. Huiyu Zhou received a Bachelor of Engineering degree in Radio Technology from Huazhong University of Science and Technology of China, and a Master of Science degree in Biomedical Engineering from University of Dundee of United Kingdom, respectively. He was awarded a Doctor of Philosophy degree in Computer Vision from Heriot-Watt University, Edinburgh, United Kingdom. Dr. Zhou currently is a full Professor at School of Computing and Mathematical Sciences, University of Leicester, United Kingdom. He has published over 400 peer-reviewed papers in the field. He was the recipient of "CVIU 2012 Most Cited Paper Award", "MIUA 2020 Best Paper Award", "ICPRAM 2016 Best Paper Award" and was nominated for "ICPRAM 2017 Best Student Paper Award" and "MBEC 2006 Nightingale Prize". His research work has been or is being supported by UK EPSRC, ESRC, AHRC, MRC, EU, Royal Society, Leverhulme Trust, Puffin Trust, Alzheimer's Research UK, Invest NI and industry. Homepage: https://le.ac.uk/people/huiyu-zhou. Further details on this event can be found at: https://futurebloodtesting.org/event/13-14-09-2022/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://youtu.be/N5AjIUAwYp4 |
Type Of Art | Film/Video/Animation |
Year Produced | 2022 |
Impact | About 100 participants, both in person and online, attended the presentation, including clinicians, patients, and academics. |
URL | https://zenodo.org/record/7117191 |
Title | Collaborative Innovation Project funding launch - Dr Samantha Kanza (University of Reading, University of Southampton) |
Description | This video is the eighth talk from our two day Future Blood Testing: Challenges & Opportunities Event that took place on the 13/09/2022. Collaborative Innovation Project funding launch - Dr Samantha Kanza (University of Reading) Bio: Dr Samantha Kanza is a Senior Enterprise Fellow at the University of Southampton. She completed her MEng in Computer Science at the University of Southampton and then worked for BAE Systems Applied Intelligence for a year before returning to do an iPhD in Web Science (in Computer Science and Chemistry), which focused on Semantic Tagging of Scientific Documents and Electronic Lab Notebooks. She was awarded her PhD in April 2018. Samantha works in the interdisciplinary research area of applying computer science techniques to the scientific domain, specifically through the use of semantic web technologies and artificial intelligence. Her research includes looking at electronic lab notebooks and smart laboratories, to improve the digitization and knowledge management of the scientific record using semantic web technologies; and using IoT devices in the laboratory. She has also worked on a number of interdisciplinary Semantic Web projects in different domains, including agriculture, chemistry and the social sciences. Further details on this event can be found at: https://futurebloodtesting.org/event/13-14-09-2022/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://youtu.be/PDWZkZBzfqw |
Type Of Art | Film/Video/Animation |
Year Produced | 2022 |
Impact | About 100 participants, both in person and online, attended the presentation, including clinicians, patients, and academics. |
URL | https://zenodo.org/record/7117154 |
Title | Collaborative Innovation Project funding launch - Dr Samantha Kanza (University of Reading, University of Southampton) |
Description | This video is the eighth talk from our two day Future Blood Testing: Challenges & Opportunities Event that took place on the 13/09/2022. Collaborative Innovation Project funding launch - Dr Samantha Kanza (University of Reading) Bio: Dr Samantha Kanza is a Senior Enterprise Fellow at the University of Southampton. She completed her MEng in Computer Science at the University of Southampton and then worked for BAE Systems Applied Intelligence for a year before returning to do an iPhD in Web Science (in Computer Science and Chemistry), which focused on Semantic Tagging of Scientific Documents and Electronic Lab Notebooks. She was awarded her PhD in April 2018. Samantha works in the interdisciplinary research area of applying computer science techniques to the scientific domain, specifically through the use of semantic web technologies and artificial intelligence. Her research includes looking at electronic lab notebooks and smart laboratories, to improve the digitization and knowledge management of the scientific record using semantic web technologies; and using IoT devices in the laboratory. She has also worked on a number of interdisciplinary Semantic Web projects in different domains, including agriculture, chemistry and the social sciences. Further details on this event can be found at: https://futurebloodtesting.org/event/13-14-09-2022/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://youtu.be/PDWZkZBzfqw |
Type Of Art | Film/Video/Animation |
Year Produced | 2022 |
Impact | This video showcases our conference which brought a diverse set of community members together to discuss the research challenges and opportunities of future blood testing. |
URL | https://zenodo.org/record/7117155 |
Title | Communicating with the Network & Landscape Workshops - Dr Samantha Kanza (University of Reading, University of Southampton) |
Description | This video is the eleventh talk from our Future Blood Testing Network Plus Launch that took place on the 23/11/2021. Communicating with the Network & Landscape Workshops - Dr Samantha Kanza (University of Southampton). Bio: Dr Samantha Kanza is an Enterprise Fellow at the University of Southampton. She completed her MEng in Computer Science at the University of Southampton and then worked for BAE Systems Applied Intelligence for a year before returning to do an iPhD in Web Science (in Computer Science and Chemistry), which focused on Semantic Tagging of Scientific Documents and Electronic Lab Notebooks. She was awarded her PhD in April 2018. Samantha works in the interdisciplinary research area of applying computer science techniques to the scientific domain, specifically through the use of semantic web technologies and artificial intelligence. Her research includes looking at electronic lab notebooks and smart laboratories, to improve the digitization and knowledge management of the scientific record using semantic web technologies; and using IoT devices in the laboratory. She has also worked on a number of interdisciplinary Semantic Web projects in different domains, including agriculture, chemistry and the social sciences. Further details on this event can be found at: https://futurebloodtesting.org/event/23-11-21-future-blood-testing-network-launch/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://youtu.be/fvRb9ULGU2I |
Type Of Art | Film/Video/Animation |
Year Produced | 2021 |
Impact | This video is an output from the Future Blood Testing Network. It was presented at our Launch event and helped bring on board new members by telling them how to interact with the Network. |
URL | https://zenodo.org/record/7116443 |
Title | Communicating with the Network & Landscape Workshops - Dr Samantha Kanza (University of Reading, University of Southampton) |
Description | This video is the eleventh talk from our Future Blood Testing Network Plus Launch that took place on the 23/11/2021. Communicating with the Network & Landscape Workshops - Dr Samantha Kanza (University of Southampton). Bio: Dr Samantha Kanza is an Enterprise Fellow at the University of Southampton. She completed her MEng in Computer Science at the University of Southampton and then worked for BAE Systems Applied Intelligence for a year before returning to do an iPhD in Web Science (in Computer Science and Chemistry), which focused on Semantic Tagging of Scientific Documents and Electronic Lab Notebooks. She was awarded her PhD in April 2018. Samantha works in the interdisciplinary research area of applying computer science techniques to the scientific domain, specifically through the use of semantic web technologies and artificial intelligence. Her research includes looking at electronic lab notebooks and smart laboratories, to improve the digitization and knowledge management of the scientific record using semantic web technologies; and using IoT devices in the laboratory. She has also worked on a number of interdisciplinary Semantic Web projects in different domains, including agriculture, chemistry and the social sciences. Further details on this event can be found at: https://futurebloodtesting.org/event/23-11-21-future-blood-testing-network-launch/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://youtu.be/fvRb9ULGU2I |
Type Of Art | Film/Video/Animation |
Year Produced | 2021 |
Impact | About 100 participants, both in person and online, attended the presentation, including clinicians, patients, and academics. |
URL | https://zenodo.org/record/7116442 |
Title | Detection of drugs & biomarkers in healthcare using optical fibre sensors - Professor Serhiy Korposh |
Description | This video is the thirteenth talk from our Future of Healthcare: Remote Blood Testing, Monitoring & AI Meeting that took place on 07-08/11/2023. Detection of drugs and biomarkers in healthcare using optical fibre sensors - Professor Serhiy Korposh (University of Nottingham). Bio: Serhiy Korposh is an Associate Professor in Electronics, Nanoscale Bioelectronics and Biophotonics at University of Nottingham. His current research focuses on the development of fibre optic sensors and instrumentation for biomedical application from discovery at the interface with physics and chemistry through to application addressing major healthcare challenges. He has published over 100 (h-index 21) peer-reviewed journal and conference papers, book contributions, holds 11 patents (4 licensed to UK and Japanese companies) and given invited presentations at international meetings in the field of optical fibre chemical sensors. He has managed as a PI and Co-I a total funding portfolio of £3.5 million in the area of biomedical point of care sensors. He was a Director of the EPSRC funded Network Cyclops(EP/N026985/1, Closed Loop Control Systems for Optimising Treatment, http://www.healthcaretechnologies.ac.... with the aim to facilitate the formation of a community of academics, clinicians and industrialists, across multiple disciplines (photonic sensing, advanced materials, treatment, and mathematical modelling), including international collaborators to address grand challenges in automation of treatment in healthcare. Further details on this event can be found at: https://futurebloodtesting.org/event/the-future-of-healthcare-remote-blood-testing-monitoring-ai/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://www.youtube.com/watch?v=vvV2qYsN7iE&list=PL_5Zbof1GNkCZLgQwZnxsMTQUELUCQHlp?dex=9 |
Type Of Art | Film/Video/Animation |
Year Produced | 2023 |
Impact | About 100 participants, both in person and online, attended the presentation, including clinicians, patients, and academics. |
URL | https://zenodo.org/doi/10.5281/zenodo.10277394 |
Title | Development of an implantable device for continuous monitoring of blood biomarkers - Dr Chenyang He (University of Nottingham) |
Description | This video is the sixth talk from our Future of Healthcare: Remote Blood Testing, Monitoring & AI Meeting that took place on 07-08/11/2023. Development of an implantable device for continuous monitoring of blood biomarkers - Dr Chenyang He (University of Nottingham). Bio: Chenyang He is an early career academic at the University of Nottingham and has been engaged in developing various fibre optic bio-/chemical/physiological sensors for healthcare applications. Examples include point-of-care sensors measuring blood and breath biomarkers of disease through medical devices such as optical fibre-based antibody (IgG) monitoring and anti-cancer drug (Dabrafenib) monitoring and a smart wound dressing for monitoring healing and infection of diabetic foot ulcers (biomarkers: temperature, humidity, NH3 and CO2). These utilise a range of different sensing mechanisms including optical gratings, absorption dyes, Fabry-Perot interferometers and plasmonic nanostructures. Further details on this event can be found at: https://futurebloodtesting.org/event/the-future-of-healthcare-remote-blood-testing-monitoring-ai/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://www.youtube.com/watch?v=xpB2sznJzqw&list=PL_5Zbof1GNkCZLgQwZnxsMTQUELUCQHlp?dex=5 |
Type Of Art | Film/Video/Animation |
Year Produced | 2023 |
Impact | About 100 participants, both in person and online, attended the presentation, including clinicians, patients, and academics. |
URL | https://zenodo.org/doi/10.5281/zenodo.10277165 |
Title | FERRIQ: AI-Driven mapping of disease trajectories - Dr Fayyaz Minhas & Prof Dimitris Grammatopoulos |
Description | This video is the fifth talk from our Future of Healthcare: Remote Blood Testing, Monitoring & AI Meeting that took place on 07-08/11/2023. FERRIQ: AI-Driven mapping of disease trajectories of patients with genetic iron overload to inform development of clinical decision support systems - Dr Fayyaz Minhas & Professor Dimitris Grammatopoulos (University of Warwick). Bios: Fayyaz Minhas is an associate professor at Warwick Department of Computer Science. He is also the Deputy Director of the Tissue Image Analytics (TIA) centre and is affiliated with the Pathology image data Lake for Analytics, Knowledge and Education (PathLAKE) consortium. He is a recipient of the Fulbright scholarship and works on solving problems in biology and medicine using machine learning methods as well as the development of bespoke machine learning algorithms in the domains of biomedical informatics, computational pathology, bioinformatics and data science. Specifically, he is interested in designing machine learning models for integrating digital pathology and bioinformatics data for improved diagnosis and therapeutics. Dimitris Grammatopoulos, PhD, FRCPath, is Professor of Molecular Medicine at Warwick Medical School and Consultant in Clinical Biochemistry and Molecular Diagnostics at the University Hospitals of Coventry and Warwickshire, NHS Trust, United Kingdom. He also leads the Novel Biomarkers theme of the Institute of Precision Diagnostics and Translational Medicine, Pathology-UHCW NHS Trust, where he combines clinical expertise in diagnostic laboratory medicine with a research track-record in application of cutting edge multidiscipline methodologies in routine clinical diagnostics. He received academic and clinical training in Newcastle, Bristol, Johns Hopkins-Baltimore and Warwick. He has expertise in biochemical/molecular diagnosis of many endocrine and metabolic disorders. His translational research interest is focused on stress hormones and homeostatic adaptations of fetal development to maternal disease as well as development of novel -omics based biomarker approaches suitable for precision medicine and better characterisation of patient phenotype. He has experience around use of AI and ML for development and refinement of clinical and diagnostic pathways for complex chronic conditions that are considered as national priorities. Dimitris is the Lead in Diagnostics, Global Health Priorities in Health, University of Warwick. Further details on this event can be found at: https://futurebloodtesting.org/event/the-future-of-healthcare-remote-blood-testing-monitoring-ai/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://www.youtube.com/watch?v=GsAyoVTLYdc&list=PL_5Zbof1GNkCZLgQwZnxsMTQUELUCQHlp?dex=4 |
Type Of Art | Film/Video/Animation |
Year Produced | 2023 |
Impact | About 100 participants, both in person and online, attended the presentation, including clinicians, patients, and academics. |
URL | https://zenodo.org/doi/10.5281/zenodo.10277055 |
Title | Future Blood Testing Network+ Overview - Dr Weizi (Vicky) Li (Henley Business School, University of Reading). |
Description | This video is the first talk from our two day Future Blood Testing: Challenges & Opportunities Event that took place on the 13/09/2022. Future Blood Testing Network+ Overview - Dr Weizi (Vicky) Li (Henley Business School, University of Reading). Bio: Dr Weizi (Vicky) Li is the PI of the Future Blood Testing Network, an Associate Professor of Informatics and Digital Health, Deputy Director in Informatics Research Centre, Henley Business School, University of Reading. She is an interdisciplinary researcher focusing on using informatics, data science, machine learning, and digital information systems to solve real-world healthcare challenges. She is the academic lead of a large collaborative project of Improving the Quality of Healthcare through an Integrated Clinical Pathway Management Approach and Cloud based Digital Data Integration Platform, which was awarded ESRC O2RB Excellence in Impact Award in 2018 for her research impact on healthcare quality improvement. She is the academic lead of machine learning based decision support system for outpatient management which has successfully been implemented in Royal Berkshire NHS Foundation Trust and has received Research Engagement and Impact award in 2020. She has been PI on projects funded by ESRC, EPSRC, The Health Foundation, NHS and companies, working on data-driven decision support systems that use real-world data (under privacy preserving framework) from multiple sources including Electronic Patient Record in acute, community hospital and primary care settings, remote health monitoring and patient reported outcomes to develop novel technologies (including AI based methods) to support clinical and operational decision makings in patient pathway. Further details on this event can be found at: https://futurebloodtesting.org/event/13-14-09-2022/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://youtu.be/I1xsig9C8w0 |
Type Of Art | Film/Video/Animation |
Year Produced | 2022 |
Impact | This video is an output from the Future Blood Testing Network. It was presented at our Landscape Report Funding Call Town Meeting and helped encourage Network Members to apply for our first funding call. |
URL | https://zenodo.org/record/7116819 |
Title | Future Blood Testing Network+ Overview - Dr Weizi (Vicky) Li (Henley Business School, University of Reading). |
Description | This video is the first talk from our two day Future Blood Testing: Challenges & Opportunities Event that took place on the 13/09/2022. Future Blood Testing Network+ Overview - Dr Weizi (Vicky) Li (Henley Business School, University of Reading). Bio: Dr Weizi (Vicky) Li is the PI of the Future Blood Testing Network, an Associate Professor of Informatics and Digital Health, Deputy Director in Informatics Research Centre, Henley Business School, University of Reading. She is an interdisciplinary researcher focusing on using informatics, data science, machine learning, and digital information systems to solve real-world healthcare challenges. She is the academic lead of a large collaborative project of Improving the Quality of Healthcare through an Integrated Clinical Pathway Management Approach and Cloud based Digital Data Integration Platform, which was awarded ESRC O2RB Excellence in Impact Award in 2018 for her research impact on healthcare quality improvement. She is the academic lead of machine learning based decision support system for outpatient management which has successfully been implemented in Royal Berkshire NHS Foundation Trust and has received Research Engagement and Impact award in 2020. She has been PI on projects funded by ESRC, EPSRC, The Health Foundation, NHS and companies, working on data-driven decision support systems that use real-world data (under privacy preserving framework) from multiple sources including Electronic Patient Record in acute, community hospital and primary care settings, remote health monitoring and patient reported outcomes to develop novel technologies (including AI based methods) to support clinical and operational decision makings in patient pathway. Further details on this event can be found at: https://futurebloodtesting.org/event/13-14-09-2022/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://youtu.be/I1xsig9C8w0 |
Type Of Art | Film/Video/Animation |
Year Produced | 2022 |
Impact | About 100 participants, both in person and online, attended the presentation, including clinicians, patients, and academics. |
URL | https://zenodo.org/record/7116818 |
Title | Future Blood Testing Network+ Overview and Recap - Dr Weizi (Vicky) Li |
Description | This video is the first talk from our Future of Healthcare: Remote Blood Testing, Monitoring & AI Meeting that took place on 07-08/11/2023. Future Blood Testing Network+ Overview and Recap - Dr Weizi (Vicky) Li (Henley Business School, University of Reading). Bio: Weizi (Vicky) Li is a Professor of Informatics and Digital Health, Deputy Director in Informatics Research Centre, Henley Business School, University of Reading. She is a Fellow of Charted Institute of IT (British Computer Society). She is an interdisciplinary researcher focusing on using informatics, data science, machine learning, and digital information systems to solve real-world healthcare challenges. She is currently the Principal Investigator and Director of EPSRC Future Blood Testing for Inclusive Monitoring and Personalised Analytics NetworkPlus; and EPSRC AI for Health project: Advancing machine learning to achieve real-world early detection and personalised disease outcome prediction of inflammatory arthritis. She is the academic lead of a large collaborative project of Improving the Quality of Healthcare through an Integrated Clinical Pathway Management Approach and Cloud-based Digital Data Integration Platform, which was awarded ESRC O2RB Excellence in Impact Award in 2018 and 4*/3* impact case study in REF 2021 for her research impact on healthcare quality improvement. She is the academic lead of a machine learning-based decision support system for outpatient management which has successfully been implemented in Royal Berkshire NHS Foundation Trust and has received the Research Engagement and Impact award in 2020, shortlisted for 2022 impact award and Health Service Journal (HSJ) patient safety award. Further details on this event can be found at: https://www.futurebloodtesting.org/fbtn2023 This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://youtu.be/Fqqekmhg79Q?si=l74rXxTFMx42mEsV |
Type Of Art | Film/Video/Animation |
Year Produced | 2023 |
Impact | About 100 participants, both in person and online, attended the presentation, including clinicians, patients, and academics. |
URL | https://zenodo.org/doi/10.5281/zenodo.10262672 |
Title | Future Blood Testing: Challenges & Opportunities |
Description | This video shows the highlights of our Future Blood Testing: Challenges & Opportunities Event that took place on the 13/09/2022. Further details on this event can be found at: https://futurebloodtesting.org/event/13-14-09-2022/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 Music Licensing details: ASLC-1E1DFFF8-153AD9FEF0 The music is from Adobe Music, is called GUITAR-EPIC-TRAILER-VOCAL_AdobeStock_511629251 YouTube Link: https://youtu.be/OfRa31Wvix8 |
Type Of Art | Film/Video/Animation |
Year Produced | 2022 |
Impact | This video showcases our conference which brought a diverse set of community members together to discuss the research challenges and opportunities of future blood testing. |
URL | https://zenodo.org/record/7400452 |
Title | Future Blood Testing: Challenges & Opportunities |
Description | This video shows the highlights of our Future Blood Testing: Challenges & Opportunities Event that took place on the 13/09/2022. Further details on this event can be found at: https://futurebloodtesting.org/event/13-14-09-2022/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 Music Licensing details: ASLC-1E1DFFF8-153AD9FEF0 The music is from Adobe Music, is called GUITAR-EPIC-TRAILER-VOCAL_AdobeStock_511629251 YouTube Link: https://youtu.be/OfRa31Wvix8 |
Type Of Art | Film/Video/Animation |
Year Produced | 2022 |
Impact | About 100 participants, both in person and online, attended the presentation, including clinicians, patients, and academics. |
URL | https://zenodo.org/record/7400451 |
Title | Improving triaging from primary care into secondary care using heterogeneous data-driven hybrid machine learning: A real-world case study of decision support system using blood test & GP referral letters - Bing Wang and Prof Weizi (Vicky) Li ... |
Description | This video is the sixth talk from our two day Future Blood Testing: Challenges & Opportunities Event that took place on the 13/09/2022. Improving triaging from primary care into secondary care using heterogeneous data-driven hybrid machine learning: A real-world case study of decision support system using blood test & GP referral letters - Bing Wang and Prof Weizi (Vicky) Li (University of Reading) Bio: Dr Weizi (Vicky) Li is the PI of the Future Blood Testing Network, an Associate Professor of Informatics and Digital Health, Deputy Director in Informatics Research Centre, Henley Business School, University of Reading. She is an interdisciplinary researcher focusing on using informatics, data science, machine learning, and digital information systems to solve real-world healthcare challenges. She is the academic lead of a large collaborative project of Improving the Quality of Healthcare through an Integrated Clinical Pathway Management Approach and Cloud based Digital Data Integration Platform, which was awarded ESRC O2RB Excellence in Impact Award in 2018 for her research impact on healthcare quality improvement. She is the academic lead of machine learning based decision support system for outpatient management which has successfully been implemented in Royal Berkshire NHS Foundation Trust and has received Research Engagement and Impact award in 2020. She has been PI on projects funded by ESRC, EPSRC, The Health Foundation, NHS and companies, working on data-driven decision support systems that use real-world data (under privacy preserving framework) from multiple sources including Electronic Patient Record in acute, community hospital and primary care settings, remote health monitoring and patient reported outcomes to develop novel technologies (including AI based methods) to support clinical and operational decision makings in patient pathway. Bing Wang is currently a PhD candidate in informatics and system science at the Informatics Research Center, Henley Business School, University of Reading. Bing's research interests are Natural Language Processing, Machine Learning and Graph Machine Learning. Bing been working as a data scientist at Royal Berkshire NHS Foundation Trust since December 2019 during his PhD. Further details on this event can be found at: https://futurebloodtesting.org/event/13-14-09-2022/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://youtu.be/W6EH5l80NmU |
Type Of Art | Film/Video/Animation |
Year Produced | 2022 |
Impact | About 100 participants, both in person and online, attended the presentation, including clinicians, patients, and academics. |
URL | https://zenodo.org/record/7268118 |
Title | Improving triaging from primary care into secondary care using heterogeneous data-driven hybrid machine learning: A real-world case study of decision support system using blood test & GP referral letters - Bing Wang and Prof Weizi (Vicky) Li ... |
Description | This video is the sixth talk from our two day Future Blood Testing: Challenges & Opportunities Event that took place on the 13/09/2022. Improving triaging from primary care into secondary care using heterogeneous data-driven hybrid machine learning: A real-world case study of decision support system using blood test & GP referral letters - Bing Wang and Prof Weizi (Vicky) Li (University of Reading) Bio: Dr Weizi (Vicky) Li is the PI of the Future Blood Testing Network, an Associate Professor of Informatics and Digital Health, Deputy Director in Informatics Research Centre, Henley Business School, University of Reading. She is an interdisciplinary researcher focusing on using informatics, data science, machine learning, and digital information systems to solve real-world healthcare challenges. She is the academic lead of a large collaborative project of Improving the Quality of Healthcare through an Integrated Clinical Pathway Management Approach and Cloud based Digital Data Integration Platform, which was awarded ESRC O2RB Excellence in Impact Award in 2018 for her research impact on healthcare quality improvement. She is the academic lead of machine learning based decision support system for outpatient management which has successfully been implemented in Royal Berkshire NHS Foundation Trust and has received Research Engagement and Impact award in 2020. She has been PI on projects funded by ESRC, EPSRC, The Health Foundation, NHS and companies, working on data-driven decision support systems that use real-world data (under privacy preserving framework) from multiple sources including Electronic Patient Record in acute, community hospital and primary care settings, remote health monitoring and patient reported outcomes to develop novel technologies (including AI based methods) to support clinical and operational decision makings in patient pathway. Bing Wang is currently a PhD candidate in informatics and system science at the Informatics Research Center, Henley Business School, University of Reading. Bing's research interests are Natural Language Processing, Machine Learning and Graph Machine Learning. Bing been working as a data scientist at Royal Berkshire NHS Foundation Trust since December 2019 during his PhD. Further details on this event can be found at: https://futurebloodtesting.org/event/13-14-09-2022/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://youtu.be/W6EH5l80NmU |
Type Of Art | Film/Video/Animation |
Year Produced | 2022 |
Impact | This video showcases our conference which brought a diverse set of community members together to discuss the research challenges and opportunities of future blood testing. |
URL | https://zenodo.org/record/7268119 |
Title | Introduction to our Funding Call - Dr Samantha Kanza (University of Reading, University of Southampton). |
Description | This video is the second talk from our Landscape Report Funding Call Town Meeting that took place on the 03/02/2022. Introduction to our Funding Call - Dr Samantha Kanza (University of Reading, University of Southampton). Bio: Dr Samantha Kanza is an Enterprise Fellow at the University of Southampton. She completed her MEng in Computer Science at the University of Southampton and then worked for BAE Systems Applied Intelligence for a year before returning to do an iPhD in Web Science (in Computer Science and Chemistry), which focused on Semantic Tagging of Scientific Documents and Electronic Lab Notebooks. She was awarded her PhD in April 2018. Samantha works in the interdisciplinary research area of applying computer science techniques to the scientific domain, specifically through the use of semantic web technologies and artificial intelligence. Her research includes looking at electronic lab notebooks and smart laboratories, to improve the digitization and knowledge management of the scientific record using semantic web technologies; and using IoT devices in the laboratory. She has also worked on a number of interdisciplinary Semantic Web projects in different domains, including agriculture, chemistry and the social sciences. Further details on this event can be found at: https://futurebloodtesting.org/event/03-02-2021-future-blood-testing-network-landscape-report-funding-town-meeting/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://youtu.be/rhvlEi6P8Nk |
Type Of Art | Film/Video/Animation |
Year Produced | 2022 |
Impact | This video is an output from the Future Blood Testing Network. It was presented at our Landscape Report Funding Call Town Meeting and helped encourage Network Members to apply for our first funding call. |
URL | https://zenodo.org/record/7116736 |
Title | Introduction to our Funding Call - Dr Samantha Kanza (University of Reading, University of Southampton). |
Description | This video is the second talk from our Landscape Report Funding Call Town Meeting that took place on the 03/02/2022. Introduction to our Funding Call - Dr Samantha Kanza (University of Reading, University of Southampton). Bio: Dr Samantha Kanza is an Enterprise Fellow at the University of Southampton. She completed her MEng in Computer Science at the University of Southampton and then worked for BAE Systems Applied Intelligence for a year before returning to do an iPhD in Web Science (in Computer Science and Chemistry), which focused on Semantic Tagging of Scientific Documents and Electronic Lab Notebooks. She was awarded her PhD in April 2018. Samantha works in the interdisciplinary research area of applying computer science techniques to the scientific domain, specifically through the use of semantic web technologies and artificial intelligence. Her research includes looking at electronic lab notebooks and smart laboratories, to improve the digitization and knowledge management of the scientific record using semantic web technologies; and using IoT devices in the laboratory. She has also worked on a number of interdisciplinary Semantic Web projects in different domains, including agriculture, chemistry and the social sciences. Further details on this event can be found at: https://futurebloodtesting.org/event/03-02-2021-future-blood-testing-network-landscape-report-funding-town-meeting/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://youtu.be/rhvlEi6P8Nk |
Type Of Art | Film/Video/Animation |
Year Produced | 2022 |
Impact | About 100 participants, both in person and online, attended the presentation, including clinicians, patients, and academics. |
URL | https://zenodo.org/record/7116735 |
Title | Introduction to the Future Blood Testing Network Plus - Dr Weizi (Vicky) Li (Henley Business School, University of Reading) |
Description | This video is the first talk from our Future Blood Testing Network Plus Launch that took place on the 23/11/2021. Network Introduction - Dr Weizi (Vicky) Li (Henley Business School, University of Reading). Bio: Dr Weizi (Vicky) Li is the PI of the Future Blood Testing Network, an Associate Professor of Informatics and Digital Health, Deputy Director in Informatics Research Centre, Henley Business School, University of Reading. She is an interdisciplinary researcher focusing on using informatics, data science, machine learning, and digital information systems to solve real-world healthcare challenges. She is the academic lead of a large collaborative project of Improving the Quality of Healthcare through an Integrated Clinical Pathway Management Approach and Cloud based Digital Data Integration Platform, which was awarded ESRC O2RB Excellence in Impact Award in 2018 for her research impact on healthcare quality improvement. She is the academic lead of machine learning based decision support system for outpatient management which has successfully been implemented in Royal Berkshire NHS Foundation Trust and has received Research Engagement and Impact award in 2020. She has been PI on projects funded by ESRC, EPSRC, The Health Foundation, NHS and companies, working on data-driven decision support systems that use real-world data (under privacy preserving framework) from multiple sources including Electronic Patient Record in acute, community hospital and primary care settings, remote health monitoring and patient reported outcomes to develop novel technologies (including AI based methods) to support clinical and operational decision makings in patient pathway. Further details on this event can be found at: https://futurebloodtesting.org/event/23-11-21-future-blood-testing-network-launch/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://youtu.be/YuBsU3NDdB0 |
Type Of Art | Film/Video/Animation |
Year Produced | 2021 |
Impact | About 100 participants, both in person and online, attended the presentation, including clinicians, patients, and academics. |
URL | https://zenodo.org/record/7115897 |
Title | Introduction to the Future Blood Testing Network Plus - Dr Weizi (Vicky) Li (Henley Business School, University of Reading) |
Description | This video is the first talk from our Future Blood Testing Network Plus Launch that took place on the 23/11/2021. Network Introduction - Dr Weizi (Vicky) Li (Henley Business School, University of Reading). Bio: Dr Weizi (Vicky) Li is the PI of the Future Blood Testing Network, an Associate Professor of Informatics and Digital Health, Deputy Director in Informatics Research Centre, Henley Business School, University of Reading. She is an interdisciplinary researcher focusing on using informatics, data science, machine learning, and digital information systems to solve real-world healthcare challenges. She is the academic lead of a large collaborative project of Improving the Quality of Healthcare through an Integrated Clinical Pathway Management Approach and Cloud based Digital Data Integration Platform, which was awarded ESRC O2RB Excellence in Impact Award in 2018 for her research impact on healthcare quality improvement. She is the academic lead of machine learning based decision support system for outpatient management which has successfully been implemented in Royal Berkshire NHS Foundation Trust and has received Research Engagement and Impact award in 2020. She has been PI on projects funded by ESRC, EPSRC, The Health Foundation, NHS and companies, working on data-driven decision support systems that use real-world data (under privacy preserving framework) from multiple sources including Electronic Patient Record in acute, community hospital and primary care settings, remote health monitoring and patient reported outcomes to develop novel technologies (including AI based methods) to support clinical and operational decision makings in patient pathway. Further details on this event can be found at: https://futurebloodtesting.org/event/23-11-21-future-blood-testing-network-launch/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://youtu.be/YuBsU3NDdB0 |
Type Of Art | Film/Video/Animation |
Year Produced | 2021 |
Impact | This video is an output from the Future Blood Testing Network. It was presented at our Launch event and helped bring on board new members who were interested in this Network Theme. |
URL | https://zenodo.org/record/7115898 |
Title | Landscape of Future blood testing in healthcare practice - Professor Dimitris Grammatopoulos (University of Warwick) |
Description | This video is the third talk from our Future of Healthcare: Remote Blood Testing, Monitoring & AI Meeting that took place on 07-08/11/2023. Landscape of Future blood testing in healthcare practice - Professor Dimitris Grammatopoulos (University of Warwick). Bio: Dimitris Grammatopoulos, PhD, FRCPath, is Professor of Molecular Medicine at Warwick Medical School and Consultant in Clinical Biochemistry and Molecular Diagnostics at the University Hospitals of Coventry and Warwickshire, NHS Trust, United Kingdom. He also leads the Novel Biomarkers theme of the Institute of Precision Diagnostics and Translational Medicine, Pathology-UHCW NHS Trust, where he combines clinical expertise in diagnostic laboratory medicine with a research track-record in application of cutting edge multidiscipline methodologies in routine clinical diagnostics. He received academic and clinical training in Newcastle, Bristol, Johns Hopkins-Baltimore and Warwick. He has expertise in biochemical/molecular diagnosis of many endocrine and metabolic disorders. His translational research interest is focused on stress hormones and homeostatic adaptations of fetal development to maternal disease as well as development of novel -omics based biomarker approaches suitable for precision medicine and better characterisation of patient phenotype. He has experience around use of AI and ML for development and refinement of clinical and diagnostic pathways for complex chronic conditions that are considered as national priorities. Dimitris is the Lead in Diagnostics, Global Health Priorities in Health, University of Warwick. Further details on this event can be found at: https://futurebloodtesting.org/event/the-future-of-healthcare-remote-blood-testing-monitoring-ai/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://www.youtube.com/watch?v=8tL9FEqIv6o&list=PL_5Zbof1GNkCZLgQwZnxsMTQUELUCQHlp?dex=3 |
Type Of Art | Film/Video/Animation |
Year Produced | 2023 |
Impact | About 100 participants, both in person and online, attended the presentation, including clinicians, patients, and academics. |
URL | https://zenodo.org/doi/10.5281/zenodo.10276990 |
Title | Measuring platelet function: new strategies for precision medicine to prevent thrombosis - Prof Jon Gibbins (University of Reading) |
Description | This video is the third talk from our two day Future Blood Testing: Challenges & Opportunities Event that took place on the 13/09/2022. Measuring platelet function: new strategies for precision medicine to prevent thrombosis - Prof Jon Gibbins (University of Reading). Bio: Jon Gibbins is Professor of Cell Biology within the School of Biological Sciences at the University and is Director of the Institute for Cardiovascular and Metabolic Research. He is a graduate of the University, obtaining a degree in Pathobiology with Chemistry in 1991 and a PhD in Molecular Endocrinology in 1995. Following a period of postdoctoral research at the Oxford University, he returned to Reading in 1998 as a lecturer. Jon has established an internationally leading research group that studies blood clotting, with a particular focus on the development of more effective clinical strategies for the prevention and treatment of heart attacks and strokes, and thrombosis associated with infection. Jon values greatly working in an active, engaging and successful school, in which all aspects of biology are represented, and he champions cross-disciplinary working to approach today's most challenging and pressing questions in new ways. He believes strongly in widening participation and improving levels of equity, diversity and inclusion across our institution. Further details on this event can be found at: https://futurebloodtesting.org/event/13-14-09-2022/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://youtu.be/8vJZ_WO-dvk |
Type Of Art | Film/Video/Animation |
Year Produced | 2022 |
Impact | About 100 participants, both in person and online, attended the presentation, including clinicians, patients, and academics. |
URL | https://zenodo.org/record/7116896 |
Title | Measuring platelet function: new strategies for precision medicine to prevent thrombosis - Prof Jon Gibbins (University of Reading) |
Description | This video is the third talk from our two day Future Blood Testing: Challenges & Opportunities Event that took place on the 13/09/2022. Measuring platelet function: new strategies for precision medicine to prevent thrombosis - Prof Jon Gibbins (University of Reading). Bio: Jon Gibbins is Professor of Cell Biology within the School of Biological Sciences at the University and is Director of the Institute for Cardiovascular and Metabolic Research. He is a graduate of the University, obtaining a degree in Pathobiology with Chemistry in 1991 and a PhD in Molecular Endocrinology in 1995. Following a period of postdoctoral research at the Oxford University, he returned to Reading in 1998 as a lecturer. Jon has established an internationally leading research group that studies blood clotting, with a particular focus on the development of more effective clinical strategies for the prevention and treatment of heart attacks and strokes, and thrombosis associated with infection. Jon values greatly working in an active, engaging and successful school, in which all aspects of biology are represented, and he champions cross-disciplinary working to approach today's most challenging and pressing questions in new ways. He believes strongly in widening participation and improving levels of equity, diversity and inclusion across our institution. Further details on this event can be found at: https://futurebloodtesting.org/event/13-14-09-2022/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://youtu.be/8vJZ_WO-dvk |
Type Of Art | Film/Video/Animation |
Year Produced | 2022 |
Impact | This video showcases our conference which brought a diverse set of community members together to discuss the research challenges and opportunities of future blood testing. |
URL | https://zenodo.org/record/7116897 |
Title | Network Introduction - Dr Weizi (Vicky) Li (Henley Business School, University of Reading) |
Description | This video is the first talk from our Landscape Report Funding Call Town Meeting that took place on the 03/02/2022. Network Introduction - Dr Weizi (Vicky) Li (Henley Business School, University of Reading). Bio: Dr Weizi (Vicky) Li is the PI of the Future Blood Testing Network, an Associate Professor of Informatics and Digital Health, Deputy Director in Informatics Research Centre, Henley Business School, University of Reading. She is an interdisciplinary researcher focusing on using informatics, data science, machine learning, and digital information systems to solve real-world healthcare challenges. She is the academic lead of a large collaborative project of Improving the Quality of Healthcare through an Integrated Clinical Pathway Management Approach and Cloud based Digital Data Integration Platform, which was awarded ESRC O2RB Excellence in Impact Award in 2018 for her research impact on healthcare quality improvement. She is the academic lead of machine learning based decision support system for outpatient management which has successfully been implemented in Royal Berkshire NHS Foundation Trust and has received Research Engagement and Impact award in 2020. She has been PI on projects funded by ESRC, EPSRC, The Health Foundation, NHS and companies, working on data-driven decision support systems that use real-world data (under privacy preserving framework) from multiple sources including Electronic Patient Record in acute, community hospital and primary care settings, remote health monitoring and patient reported outcomes to develop novel technologies (including AI based methods) to support clinical and operational decision makings in patient pathway. Further details on this event can be found at: https://futurebloodtesting.org/event/03-02-2021-future-blood-testing-network-landscape-report-funding-town-meeting/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://youtu.be/I1xsig9C8w0 |
Type Of Art | Film/Video/Animation |
Year Produced | 2022 |
Impact | About 100 participants, both in person and online, attended the presentation, including clinicians, patients, and academics. |
URL | https://zenodo.org/record/7116460 |
Title | Network Theme: Can blood sampling become a new data source in the role of self-monitoring and self-management of health? - Dr Mark Elliott (University of Warwick) |
Description | This video is the fourth talk from our Future Blood Testing Network Plus Launch that took place on the 23/11/2021. Network Theme: Can blood sampling become a new data source in the role of self-monitoring and self-management of health? - Dr Mark Elliott (University of Warwick) Bio: Dr Mark Elliott Mark is an Associate Professor at the Institute of Digital Healthcare, WMG, University of Warwick (UoW). Mark's core research focuses on human movement and physiology analytics. His research uses signal processing and data science approaches to monitor, measure and model human movement and physiology to infer health status. He is the PI of the WMG Motion Capture Laboratory. His work further extends into the broader area of using wearable and on-the- body sensing devices to make objective measures of human behaviour and behaviour change. Much of Dr Elliott's research is highly applied and involves collaborating with commercial and NHS partners. He has received funding from EPSRC, Innovate UK and SBRI Healthcare, as well as direct industrial funding. He is currently Data Analytics Theme Lead for the EPSRC funded OATech+ Network and on the steering committee for the EPSRC funded VSimulators facilities at Bath and Exeter. Further details on this event can be found at: https://futurebloodtesting.org/event/23-11-21-future-blood-testing-network-launch/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://youtu.be/ChdbggScUgo |
Type Of Art | Film/Video/Animation |
Year Produced | 2021 |
Impact | About 100 participants, both in person and online, attended the presentation, including clinicians, patients, and academics. |
URL | https://zenodo.org/record/7116312 |
Title | Network Theme: Can blood sampling become a new data source in the role of self-monitoring and self-management of health? - Dr Mark Elliott (University of Warwick) |
Description | This video is the fourth talk from our Future Blood Testing Network Plus Launch that took place on the 23/11/2021. Network Theme: Can blood sampling become a new data source in the role of self-monitoring and self-management of health? - Dr Mark Elliott (University of Warwick) Bio: Dr Mark Elliott Mark is an Associate Professor at the Institute of Digital Healthcare, WMG, University of Warwick (UoW). Mark's core research focuses on human movement and physiology analytics. His research uses signal processing and data science approaches to monitor, measure and model human movement and physiology to infer health status. He is the PI of the WMG Motion Capture Laboratory. His work further extends into the broader area of using wearable and on-the- body sensing devices to make objective measures of human behaviour and behaviour change. Much of Dr Elliott's research is highly applied and involves collaborating with commercial and NHS partners. He has received funding from EPSRC, Innovate UK and SBRI Healthcare, as well as direct industrial funding. He is currently Data Analytics Theme Lead for the EPSRC funded OATech+ Network and on the steering committee for the EPSRC funded VSimulators facilities at Bath and Exeter. Further details on this event can be found at: https://futurebloodtesting.org/event/23-11-21-future-blood-testing-network-launch/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://youtu.be/ChdbggScUgo |
Type Of Art | Film/Video/Animation |
Year Produced | 2021 |
Impact | This video is an output from the Future Blood Testing Network. It was presented at our Launch event and helped bring on board new members who were interested in this Network Theme. |
URL | https://zenodo.org/record/7116313 |
Title | Network Theme: Continuous blood processing for patient specific therapies - Dr Robert Barker (University of Kent) |
Description | This video is the third talk from our Future Blood Testing Network Plus Launch that took place on the 23/11/2021. Network Theme: Continuous blood processing for patient specific therapies - Dr Robert Barker (University of Kent) Bio: Dr Robert Barker is an Associate Professor in Chemistry in the School of Physical Sciences, School Director of Public Engagement, project lead for the 'Future Human' Signature Research, University of Kent (UoK). He is a Royal Society Industrial Fellow and the PI of the trans-disciplinary EPSRC project Optimising Me Manufacturing Systems [EP/R022534/1], exploring continuous blood processing for healthcare and developing a healthcare micro-factory that provides on-the-body manufacturing of therapeutics, continuously and in response to the body's needs. His work focuses on the whole blood processing and the development of a manufacturing system for T-cell immunotherapies which present a cure for some of the most aggressive forms of cancer (acute lymphoblastic leukaemia and chronic lymphoblastic leukaemia). His research is at the interface of industry and the NHS to meet their needs for continuous blood monitoring and to help the shift away from the current one-size-fits-all approach to deliver patient-specific therapies. Further details on this event can be found at: https://futurebloodtesting.org/event/23-11-21-future-blood-testing-network-launch/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://youtu.be/T4UVEOM1cZU |
Type Of Art | Film/Video/Animation |
Year Produced | 2021 |
Impact | About 100 participants, both in person and online, attended the presentation, including clinicians, patients, and academics. |
URL | https://zenodo.org/record/7115997 |
Title | Network Theme: Continuous blood processing for patient specific therapies - Dr Robert Barker (University of Kent) |
Description | This video is the third talk from our Future Blood Testing Network Plus Launch that took place on the 23/11/2021. Network Theme: Continuous blood processing for patient specific therapies - Dr Robert Barker (University of Kent) Bio: Dr Robert Barker is an Associate Professor in Chemistry in the School of Physical Sciences, School Director of Public Engagement, project lead for the 'Future Human' Signature Research, University of Kent (UoK). He is a Royal Society Industrial Fellow and the PI of the trans-disciplinary EPSRC project Optimising Me Manufacturing Systems [EP/R022534/1], exploring continuous blood processing for healthcare and developing a healthcare micro-factory that provides on-the-body manufacturing of therapeutics, continuously and in response to the body's needs. His work focuses on the whole blood processing and the development of a manufacturing system for T-cell immunotherapies which present a cure for some of the most aggressive forms of cancer (acute lymphoblastic leukaemia and chronic lymphoblastic leukaemia). His research is at the interface of industry and the NHS to meet their needs for continuous blood monitoring and to help the shift away from the current one-size-fits-all approach to deliver patient-specific therapies. Further details on this event can be found at: https://futurebloodtesting.org/event/23-11-21-future-blood-testing-network-launch/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://youtu.be/T4UVEOM1cZU |
Type Of Art | Film/Video/Animation |
Year Produced | 2021 |
Impact | This video is an output from the Future Blood Testing Network. It was presented at our Launch event and helped bring on board new members who were interested in this Network Theme. |
URL | https://zenodo.org/record/7115998 |
Title | Network Theme: Digital and data-driven blood monitoring and analytics for patient centred care pathways - Dr Weizi (Vicky) Li (Henley Business School, University of Reading) |
Description | This video is the fifth talk from our Future Blood Testing Network Plus Launch that took place on the 23/11/2021. Network Theme: Digital and data-driven blood monitoring and analytics for patient centred care pathways - Dr Weizi (Vicky) Li (Henley Business School, University of Reading). Bio: Dr Weizi (Vicky) Li is the PI of the Future Blood Testing Network, an Associate Professor of Informatics and Digital Health, Deputy Director in Informatics Research Centre, Henley Business School, University of Reading. She is an interdisciplinary researcher focusing on using informatics, data science, machine learning, and digital information systems to solve real-world healthcare challenges. She is the academic lead of a large collaborative project of Improving the Quality of Healthcare through an Integrated Clinical Pathway Management Approach and Cloud based Digital Data Integration Platform, which was awarded ESRC O2RB Excellence in Impact Award in 2018 for her research impact on healthcare quality improvement. She is the academic lead of machine learning based decision support system for outpatient management which has successfully been implemented in Royal Berkshire NHS Foundation Trust and has received Research Engagement and Impact award in 2020. She has been PI on projects funded by ESRC, EPSRC, The Health Foundation, NHS and companies, working on data-driven decision support systems that use real-world data (under privacy preserving framework) from multiple sources including Electronic Patient Record in acute, community hospital and primary care settings, remote health monitoring and patient reported outcomes to develop novel technologies (including AI based methods) to support clinical and operational decision makings in patient pathway. Further details on this event can be found at: https://futurebloodtesting.org/event/23-11-21-future-blood-testing-network-launch/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://youtu.be/egINC9hJifI |
Type Of Art | Film/Video/Animation |
Year Produced | 2021 |
Impact | About 100 participants, both in person and online, attended the presentation, including clinicians, patients, and academics. |
URL | https://zenodo.org/record/7116337 |
Title | Network Theme: Digital and data-driven blood monitoring and analytics for patient centred care pathways - Dr Weizi (Vicky) Li (Henley Business School, University of Reading) |
Description | This video is the fifth talk from our Future Blood Testing Network Plus Launch that took place on the 23/11/2021. Network Theme: Digital and data-driven blood monitoring and analytics for patient centred care pathways - Dr Weizi (Vicky) Li (Henley Business School, University of Reading). Bio: Dr Weizi (Vicky) Li is the PI of the Future Blood Testing Network, an Associate Professor of Informatics and Digital Health, Deputy Director in Informatics Research Centre, Henley Business School, University of Reading. She is an interdisciplinary researcher focusing on using informatics, data science, machine learning, and digital information systems to solve real-world healthcare challenges. She is the academic lead of a large collaborative project of Improving the Quality of Healthcare through an Integrated Clinical Pathway Management Approach and Cloud based Digital Data Integration Platform, which was awarded ESRC O2RB Excellence in Impact Award in 2018 for her research impact on healthcare quality improvement. She is the academic lead of machine learning based decision support system for outpatient management which has successfully been implemented in Royal Berkshire NHS Foundation Trust and has received Research Engagement and Impact award in 2020. She has been PI on projects funded by ESRC, EPSRC, The Health Foundation, NHS and companies, working on data-driven decision support systems that use real-world data (under privacy preserving framework) from multiple sources including Electronic Patient Record in acute, community hospital and primary care settings, remote health monitoring and patient reported outcomes to develop novel technologies (including AI based methods) to support clinical and operational decision makings in patient pathway. Further details on this event can be found at: https://futurebloodtesting.org/event/23-11-21-future-blood-testing-network-launch/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://youtu.be/egINC9hJifI |
Type Of Art | Film/Video/Animation |
Year Produced | 2021 |
Impact | This video is an output from the Future Blood Testing Network. It was presented at our Launch event and helped bring on board new members who were interested in this Network Theme. |
URL | https://zenodo.org/record/7116338 |
Title | Network Theme: Sensor Technologies - Dr Sergiy Korposh (University of Nottingham) |
Description | This video is the second talk from our Future Blood Testing Network Plus Launch that took place on the 23/11/2021. Network Theme: Sensor Technologies - Dr Sergiy Korposh (University of Nottingham) Bio: Dr Sergiy Korposh is an Associate Professor in Electronics, Nanoscale Bioelectronics and Biophotonics at University of Nottingham. His current research focuses on the development of fibre optic sensors and instrumentation for biomedical application from discovery at the interface with physics and chemistry through to application addressing major healthcare challenges. He has published over 100 (h-index 21) peer-reviewed journal and conference papers, book contributions, holds 11 patents (4 licensed to UK and Japanese companies) and given invited presentations at international meetings in the field of optical fibre chemical sensors. He has managed as a PI and Co-I a total funding portfolio of £3.5 million in the area of biomedical point of care sensors. He was a Director of the EPSRC funded Network Cyclops (EP/N026985/1, Closed Loop Control Systems for Optimising Treatment, http://www.healthcaretechnologies.ac.uk/cyclops/); with the aim to facilitate the formation of a community of academics, clinicians and industrialists, across multiple disciplines (photonic sensing, advanced materials, treatment, and mathematical modelling), including international collaborators to address grand challenges in automation of treatment in healthcare. Further details on this event can be found at: https://futurebloodtesting.org/event/23-11-21-future-blood-testing-network-launch/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://youtu.be/tv0JydXOdUI |
Type Of Art | Film/Video/Animation |
Year Produced | 2021 |
Impact | About 100 participants, both in person and online, attended the presentation, including clinicians, patients, and academics. |
URL | https://zenodo.org/record/6602356 |
Title | Network Theme: Sensor Technologies - Dr Sergiy Korposh (University of Nottingham) |
Description | This video is the second talk from our Future Blood Testing Network Plus Launch that took place on the 23/11/2021. Network Theme: Sensor Technologies - Dr Sergiy Korposh (University of Nottingham) Bio: Dr Sergiy Korposh is an Associate Professor in Electronics, Nanoscale Bioelectronics and Biophotonics at University of Nottingham. His current research focuses on the development of fibre optic sensors and instrumentation for biomedical application from discovery at the interface with physics and chemistry through to application addressing major healthcare challenges. He has published over 100 (h-index 21) peer-reviewed journal and conference papers, book contributions, holds 11 patents (4 licensed to UK and Japanese companies) and given invited presentations at international meetings in the field of optical fibre chemical sensors. He has managed as a PI and Co-I a total funding portfolio of £3.5 million in the area of biomedical point of care sensors. He was a Director of the EPSRC funded Network Cyclops (EP/N026985/1, Closed Loop Control Systems for Optimising Treatment, http://www.healthcaretechnologies.ac.uk/cyclops/); with the aim to facilitate the formation of a community of academics, clinicians and industrialists, across multiple disciplines (photonic sensing, advanced materials, treatment, and mathematical modelling), including international collaborators to address grand challenges in automation of treatment in healthcare. Further details on this event can be found at: https://futurebloodtesting.org/event/23-11-21-future-blood-testing-network-launch/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://youtu.be/tv0JydXOdUI |
Type Of Art | Film/Video/Animation |
Year Produced | 2021 |
Impact | This video is an output from the Future Blood Testing Network. It was presented at our Launch event and helped bring on board new members who were interested in this Network Theme. |
URL | https://zenodo.org/record/6602357 |
Title | Network Theme: The potential of machine learning and AI for blood based investigations - Professor Jeremy Frey (University of Southampton) |
Description | This video is the sixth talk from our Future Blood Testing Network Plus Launch that took place on the 23/11/2021. Network Theme: The potential of machine learning and AI for blood based investigations - Professor Jeremy Frey (University of Southampton) Bio: Prof Jeremy Frey Professor of Physical Chemistry, Head of Computational Systems Chemistry, University of Southampton (UoS). He is PI of AI for Scientific Discovery Network+, and co_I on the Internet of Food Things Digital Economy Network+ and has had considerable involvement in the UK e-Science and Digital Economy programmes for many years (e.g., PI of the Digital Economy IT as a Utility Network+. He is a strong proponent of interdisciplinary research and the use of digital technology and ideas to enhance methods of scientific research & development. His own research involves activities across the physical land life sciences, from the application of novel mathematical analysis (e.g., Topological Data Analysis), laser spectroscopy and imagining techniques to chemical and biological problems, with the development of sensors and imagining systems such as the novel soft x-ray microscope. In parallel he works on the integration of these techniques with full provenance environment into laboratory systems using semantic web technologies. Further details on this event can be found at: https://futurebloodtesting.org/event/23-11-21-future-blood-testing-network-launch/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://youtu.be/eNORwfMy5cE |
Type Of Art | Film/Video/Animation |
Year Produced | 2021 |
Impact | This video is an output from the Future Blood Testing Network. It was presented at our Launch event and helped bring on board new members who were interested in this Network Theme. |
URL | https://zenodo.org/record/7116351 |
Title | Network Theme: The potential of machine learning and AI for blood based investigations - Professor Jeremy Frey (University of Southampton) |
Description | This video is the sixth talk from our Future Blood Testing Network Plus Launch that took place on the 23/11/2021. Network Theme: The potential of machine learning and AI for blood based investigations - Professor Jeremy Frey (University of Southampton) Bio: Prof Jeremy Frey Professor of Physical Chemistry, Head of Computational Systems Chemistry, University of Southampton (UoS). He is PI of AI for Scientific Discovery Network+, and co_I on the Internet of Food Things Digital Economy Network+ and has had considerable involvement in the UK e-Science and Digital Economy programmes for many years (e.g., PI of the Digital Economy IT as a Utility Network+. He is a strong proponent of interdisciplinary research and the use of digital technology and ideas to enhance methods of scientific research & development. His own research involves activities across the physical land life sciences, from the application of novel mathematical analysis (e.g., Topological Data Analysis), laser spectroscopy and imagining techniques to chemical and biological problems, with the development of sensors and imagining systems such as the novel soft x-ray microscope. In parallel he works on the integration of these techniques with full provenance environment into laboratory systems using semantic web technologies. Further details on this event can be found at: https://futurebloodtesting.org/event/23-11-21-future-blood-testing-network-launch/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://youtu.be/eNORwfMy5cE |
Type Of Art | Film/Video/Animation |
Year Produced | 2021 |
Impact | About 100 participants, both in person and online, attended the presentation, including clinicians, patients, and academics. |
URL | https://zenodo.org/record/7116350 |
Title | Precision Health and AI: improving health for everyone - Arjun Panesar (DDM Health) |
Description | This video is the twelfth talk from our two day Future Blood Testing: Challenges & Opportunities Event that took place on the 14/09/2022. Precision Health and AI: improving health for everyone - Arjun Panesar (DDM Health) Bio: Arjun Panesar is the founder of DDM Health, providers of clinically-validated digital health solutions to over 1.8 million people. Benefiting from almost two decades of experience in big data, AI and AI ethics, Arjun leads the development of evidence-based digital innovations that harness the power of machine learning to provide precision medicine to patients, health services, and governments. Arjun's work has received international recognition featuring in the Forbes, New Scientist, BBC and The Times. Arjun is a best-selling author on the topics of healthcare and AI, authoring two editions of Machine Learning and AI in Healthcare, and contributing to Handbook of Global Health, a major reference work. Arjun is an advisor to the Information School, University of Sheffield, Fellow to the NHS Innovation Accelerator, visiting lecturer at University of Warwick Medical School, and was recognised by Imperial College as an Alumni Leader for his contribution and impact to society. Further details on this event can be found at: https://futurebloodtesting.org/event/13-14-09-2022/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://youtu.be/clPmdeLP5_E |
Type Of Art | Film/Video/Animation |
Year Produced | 2022 |
Impact | This video showcases our conference which brought a diverse set of community members together to discuss the research challenges and opportunities of future blood testing. |
URL | https://zenodo.org/record/7117235 |
Title | Precision Health and AI: improving health for everyone - Arjun Panesar (DDM Health) |
Description | This video is the twelfth talk from our two day Future Blood Testing: Challenges & Opportunities Event that took place on the 14/09/2022. Precision Health and AI: improving health for everyone - Arjun Panesar (DDM Health) Bio: Arjun Panesar is the founder of DDM Health, providers of clinically-validated digital health solutions to over 1.8 million people. Benefiting from almost two decades of experience in big data, AI and AI ethics, Arjun leads the development of evidence-based digital innovations that harness the power of machine learning to provide precision medicine to patients, health services, and governments. Arjun's work has received international recognition featuring in the Forbes, New Scientist, BBC and The Times. Arjun is a best-selling author on the topics of healthcare and AI, authoring two editions of Machine Learning and AI in Healthcare, and contributing to Handbook of Global Health, a major reference work. Arjun is an advisor to the Information School, University of Sheffield, Fellow to the NHS Innovation Accelerator, visiting lecturer at University of Warwick Medical School, and was recognised by Imperial College as an Alumni Leader for his contribution and impact to society. Further details on this event can be found at: https://futurebloodtesting.org/event/13-14-09-2022/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://youtu.be/clPmdeLP5_E |
Type Of Art | Film/Video/Animation |
Year Produced | 2022 |
Impact | About 100 participants, both in person and online, attended the presentation, including clinicians, patients, and academics. |
URL | https://zenodo.org/record/7117234 |
Title | Raman spectroscopy for remote blood testing - Dr Donna Arnold (University of Kent) |
Description | This video is the eighth talk from our Future of Healthcare: Remote Blood Testing, Monitoring & AI Meeting that took place on 07-08/11/2023. Raman spectroscopy for remote blood testing - Dr Donna Arnold (University of Kent). Bio: Donna Arnold is a materials scientist with broad interests in using diffraction techniques and Raman spectroscopy to study Materials. Donna was awarded her PhD in 2004 having worked on the electronic properties of porous manganese oxides at the Royal Institution of Great Britain and University College London. After completing postdoctoral positions at Foundation of Research and Technology - Hellas (FORTH) in Crete, University College Cork, Ireland and University of St Andrews, UK she was appointed to an academic position at the University of Kent in 2010 where she is currently Reader of Chemistry and Forensic Science. Recently her work has diversified from the characterisation to explore how techniques such as Raman can be utilised in forensic science, cultural heritage and sports doping Further details on this event can be found at: https://futurebloodtesting.org/event/the-future-of-healthcare-remote-blood-testing-monitoring-ai/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://www.youtube.com/watch?v=-r6T5NznGmk&list=PL_5Zbof1GNkCZLgQwZnxsMTQUELUCQHlp?dex=6 |
Type Of Art | Film/Video/Animation |
Year Produced | 2023 |
Impact | About 100 participants, both in person and online, attended the presentation, including clinicians, patients, and academics. |
URL | https://zenodo.org/doi/10.5281/zenodo.10277227 |
Title | Remote Immune Monitoring: Need, Opportunities and Challenges - Professor Kourosh Saeb-Parsy (University of Cambridge & Cambridge University Hospitals NHS Foundation Trust) |
Description | This video is the seventh talk from our Future Blood Testing Network Plus Launch that took place on the 23/11/2021. Remote Immune Monitoring: Need, Opportunities and Challenges - Professor Kourosh Saeb-Parsy (University of Cambridge & Cambridge University Hospitals NHS Foundation Trust) Bio: Professor Kelvin Tsoi is an Epidemiologist specialized in Digital Health. His research interests focus on digital innovation in chronic disease management, including mobile and telecare application for hypertension management, technological implementation and social engagement for cognitive screening, artificial intelligent application on electronic health records. He also works as the traditional epidemiologist on evidence-based medicine and population cohort studies. He obtained his Bachler Degree from Department of Statistics and Doctor of Philosophy from School of Public Health in the Chinese University of Hong Kong. He further received post-doctoral training in the Division of Gastroenterology and Hepatology, Department of Medicine and Therapeutics. He was also appointed as a Director of CUHK JC Bowel Cancer Education Centre to promote colorectal cancer screening. In 2011, he worked as a research scientist in Hospital Authority. He led projects covering a wide range of service areas on chronic diseases, such as service demand projection for schizophrenia and dementia. The experience of database management enhanced his understanding of the HA database structures. In 2013, he was invited to join the interdisciplinary team for Big Data research and worked closely with a team of engineers and data scientists. Currently, Professor Tsoi is an Associate Professor in JC School of Public Health and Primary Care, SH big Data Decision Analytics Research Centre and JC Institute of Ageing. I matriculated as a medical student at Fitzwilliam College in 1993. My interest in biomedical research was developed during my Part II year studying Anatomy A (neurosciences and developmental biology) and I subsequently enrolled on the MB-PhD programme. I completed my doctoral thesis in neurophysiology of circadian rhythms in 2000 and qualified as a medical doctor in 2001. While studying for my PhD, I pursued an active interest in teaching and started supervising undergraduates at Fitzwilliam (and other colleges) in 1998. I served as MCR President in 1999, became a Fellow in 2003 and Director of Studies in Clinical Medicine in 2004. I pursued a career in surgery after graduation and was appointed as a University Lecturer in Transplant Surgery in 2012. Further details on this event can be found at: https://futurebloodtesting.org/event/23-11-21-future-blood-testing-network-launch/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://youtu.be/ANZKGxj87E0 |
Type Of Art | Film/Video/Animation |
Year Produced | 2021 |
Impact | This video is an output from the Future Blood Testing Network. It was presented at our Launch event and helped bring on board new members who were interested in this research topic. |
URL | https://zenodo.org/record/7116396 |
Title | Remote Immune Monitoring: Need, Opportunities and Challenges - Professor Kourosh Saeb-Parsy (University of Cambridge & Cambridge University Hospitals NHS Foundation Trust) |
Description | This video is the seventh talk from our Future Blood Testing Network Plus Launch that took place on the 23/11/2021. Remote Immune Monitoring: Need, Opportunities and Challenges - Professor Kourosh Saeb-Parsy (University of Cambridge & Cambridge University Hospitals NHS Foundation Trust) Bio: Professor Kelvin Tsoi is an Epidemiologist specialized in Digital Health. His research interests focus on digital innovation in chronic disease management, including mobile and telecare application for hypertension management, technological implementation and social engagement for cognitive screening, artificial intelligent application on electronic health records. He also works as the traditional epidemiologist on evidence-based medicine and population cohort studies. He obtained his Bachler Degree from Department of Statistics and Doctor of Philosophy from School of Public Health in the Chinese University of Hong Kong. He further received post-doctoral training in the Division of Gastroenterology and Hepatology, Department of Medicine and Therapeutics. He was also appointed as a Director of CUHK JC Bowel Cancer Education Centre to promote colorectal cancer screening. In 2011, he worked as a research scientist in Hospital Authority. He led projects covering a wide range of service areas on chronic diseases, such as service demand projection for schizophrenia and dementia. The experience of database management enhanced his understanding of the HA database structures. In 2013, he was invited to join the interdisciplinary team for Big Data research and worked closely with a team of engineers and data scientists. Currently, Professor Tsoi is an Associate Professor in JC School of Public Health and Primary Care, SH big Data Decision Analytics Research Centre and JC Institute of Ageing. I matriculated as a medical student at Fitzwilliam College in 1993. My interest in biomedical research was developed during my Part II year studying Anatomy A (neurosciences and developmental biology) and I subsequently enrolled on the MB-PhD programme. I completed my doctoral thesis in neurophysiology of circadian rhythms in 2000 and qualified as a medical doctor in 2001. While studying for my PhD, I pursued an active interest in teaching and started supervising undergraduates at Fitzwilliam (and other colleges) in 1998. I served as MCR President in 1999, became a Fellow in 2003 and Director of Studies in Clinical Medicine in 2004. I pursued a career in surgery after graduation and was appointed as a University Lecturer in Transplant Surgery in 2012. Further details on this event can be found at: https://futurebloodtesting.org/event/23-11-21-future-blood-testing-network-launch/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://youtu.be/ANZKGxj87E0 |
Type Of Art | Film/Video/Animation |
Year Produced | 2021 |
Impact | About 100 participants, both in person and online, attended the presentation, including clinicians, patients, and academics. |
URL | https://zenodo.org/record/7116395 |
Title | Remote Testing & AI - What's Coming Next - Mr Frank Khan Sullivan |
Description | This video is the second talk from our Future of Healthcare: Remote Blood Testing, Monitoring & AI Meeting that took place on 07-08/11/2022. Remote Testing & AI - What's Coming Next - Mr Frank Khan Sullivan (Enhanced Fertility). Bio: Frank Khan Sullivan is the CTO of Enhanced Fertility, a Europe-wide remote blood testing and diagnostics business dedicated to helping patients struggling to conceive start a family. He is serves as Co-Founder and lead technologist for the business, incorporating best practices from data analytics, AI/ML and clinical diagnostics to deliver a better patient experience and outcomes that matter. Frank has 15 years' experience working in the technology and HealthTech space, having sold his stake in a previous diagnostics business and working as CSO - Data for Publicis Groupe. In 2020 he co-founded Enhanced Fertility with his wife and CEO, who was diagnosed with infertility at a young age, to alleviate the suffering of other patients just like them by innovating in remote blood testing, decentralised diagnostics and using AI to speed up time to diagnosis. He currently resides in London and Lisbon. You can connect with him on LinkedIn. Further details on this event can be found at: https://futurebloodtesting.org/event/the-future-of-healthcare-remote-blood-testing-monitoring-ai/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://www.youtube.com/watch?v=85UfW_ESpqE&list=PL_5Zbof1GNkCZLgQwZnxsMTQUELUCQHlp?dex=2 |
Type Of Art | Film/Video/Animation |
Year Produced | 2023 |
Impact | About 100 participants, both in person and online, attended the presentation, including clinicians, patients, and academics. |
URL | https://zenodo.org/doi/10.5281/zenodo.10276876 |
Title | Remote blood monitoring for cancer patients- a preliminary landscape analysis - Beth Harvey (University of Reading) |
Description | This video is the fifth talk from our two day Future Blood Testing: Challenges & Opportunities Event that took place on the 13/09/2022. Remote blood monitoring for cancer patients- a preliminary landscape analysis - Beth Harvey (University of Reading) Bio: Beth Harvey is currently a master's student in digital health and data analytics at the Henley Business School. Having completed her bachelor's in biomedical science, Beth has then gone on to work in the medical device and IVD regulatory sector with a consultancy firm in Vancouver. After moving back to the UK in 2019 Beth worked with multiple UK manufacturers in the digital health space which spurred her interest in the field she is now studying. Beth's research interests are in healthcare innovation remote patient monitoring, and data analysis. She is currently finishing her dissertation on the opportunities and challenges for remote blood monitoring in oncology in collaboration with the Future Blood Network. Further details on this event can be found at: https://futurebloodtesting.org/event/13-14-09-2022/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://youtu.be/8pbO3N9IQKM |
Type Of Art | Film/Video/Animation |
Year Produced | 2022 |
Impact | About 100 participants, both in person and online, attended the presentation, including clinicians, patients, and academics. |
URL | https://zenodo.org/record/7116949 |
Title | Remote blood monitoring for cancer patients- a preliminary landscape analysis - Beth Harvey (University of Reading) |
Description | This video is the fifth talk from our two day Future Blood Testing: Challenges & Opportunities Event that took place on the 13/09/2022. Remote blood monitoring for cancer patients- a preliminary landscape analysis - Beth Harvey (University of Reading) Bio: Beth Harvey is currently a master's student in digital health and data analytics at the Henley Business School. Having completed her bachelor's in biomedical science, Beth has then gone on to work in the medical device and IVD regulatory sector with a consultancy firm in Vancouver. After moving back to the UK in 2019 Beth worked with multiple UK manufacturers in the digital health space which spurred her interest in the field she is now studying. Beth's research interests are in healthcare innovation remote patient monitoring, and data analysis. She is currently finishing her dissertation on the opportunities and challenges for remote blood monitoring in oncology in collaboration with the Future Blood Network. Further details on this event can be found at: https://futurebloodtesting.org/event/13-14-09-2022/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://youtu.be/8pbO3N9IQKM |
Type Of Art | Film/Video/Animation |
Year Produced | 2022 |
Impact | This video showcases our conference which brought a diverse set of community members together to discuss the research challenges and opportunities of future blood testing. |
URL | https://zenodo.org/record/7116950 |
Title | The Application of Machine Learning for Classification on Blood Pressure Variability. A New Approach for an Old Idea - Professor Kelvin Tsoi (The Chinese University of Hong Kong, School of Public Health and Primary Care) |
Description | This video is the eighth talk from our Future Blood Testing Network Plus Launch that took place on the 23/11/2021. The Application of Machine Learning for Classification on Blood Pressure Variability. A New Approach for an Old Idea - Professor Kelvin Tsoi (The Chinese University of Hong Kong, School of Public Health and Primary Care) Bio: Professor Kelvin Tsoi is an Epidemiologist specialized in Digital Health. His research interests focus on digital innovation in chronic disease management, including mobile and telecare application for hypertension management, technological implementation and social engagement for cognitive screening, artificial intelligent application on electronic health records. He also works as the traditional epidemiologist on evidence-based medicine and population cohort studies. He obtained his Bachler Degree from Department of Statistics and Doctor of Philosophy from School of Public Health in the Chinese University of Hong Kong. He further received post-doctoral training in the Division of Gastroenterology and Hepatology, Department of Medicine and Therapeutics. He was also appointed as a Director of CUHK JC Bowel Cancer Education Centre to promote colorectal cancer screening. In 2011, he worked as a research scientist in Hospital Authority. He led projects covering a wide range of service areas on chronic diseases, such as service demand projection for schizophrenia and dementia. The experience of database management enhanced his understanding of the HA database structures. In 2013, he was invited to join the interdisciplinary team for Big Data research and worked closely with a team of engineers and data scientists. Currently, Professor Tsoi is an Associate Professor in JC School of Public Health and Primary Care, SH big Data Decision Analytics Research Centre and JC Institute of Ageing. Further details on this event can be found at: https://futurebloodtesting.org/event/23-11-21-future-blood-testing-network-launch/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://youtu.be/liLVKA-JHiI |
Type Of Art | Film/Video/Animation |
Year Produced | 2021 |
Impact | About 100 participants, both in person and online, attended the presentation, including clinicians, patients, and academics. |
URL | https://zenodo.org/record/7116409 |
Title | The Application of Machine Learning for Classification on Blood Pressure Variability. A New Approach for an Old Idea - Professor Kelvin Tsoi (The Chinese University of Hong Kong, School of Public Health and Primary Care) |
Description | This video is the eighth talk from our Future Blood Testing Network Plus Launch that took place on the 23/11/2021. The Application of Machine Learning for Classification on Blood Pressure Variability. A New Approach for an Old Idea - Professor Kelvin Tsoi (The Chinese University of Hong Kong, School of Public Health and Primary Care) Bio: Professor Kelvin Tsoi is an Epidemiologist specialized in Digital Health. His research interests focus on digital innovation in chronic disease management, including mobile and telecare application for hypertension management, technological implementation and social engagement for cognitive screening, artificial intelligent application on electronic health records. He also works as the traditional epidemiologist on evidence-based medicine and population cohort studies. He obtained his Bachler Degree from Department of Statistics and Doctor of Philosophy from School of Public Health in the Chinese University of Hong Kong. He further received post-doctoral training in the Division of Gastroenterology and Hepatology, Department of Medicine and Therapeutics. He was also appointed as a Director of CUHK JC Bowel Cancer Education Centre to promote colorectal cancer screening. In 2011, he worked as a research scientist in Hospital Authority. He led projects covering a wide range of service areas on chronic diseases, such as service demand projection for schizophrenia and dementia. The experience of database management enhanced his understanding of the HA database structures. In 2013, he was invited to join the interdisciplinary team for Big Data research and worked closely with a team of engineers and data scientists. Currently, Professor Tsoi is an Associate Professor in JC School of Public Health and Primary Care, SH big Data Decision Analytics Research Centre and JC Institute of Ageing. Further details on this event can be found at: https://futurebloodtesting.org/event/23-11-21-future-blood-testing-network-launch/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://youtu.be/liLVKA-JHiI |
Type Of Art | Film/Video/Animation |
Year Produced | 2021 |
Impact | This video is an output from the Future Blood Testing Network. It was presented at our Launch event and helped bring on board new members who were interested in this research topic. |
URL | https://zenodo.org/record/7116410 |
Title | Transforming the UK's diagnostics agenda after COVID-19 and grand challenges - Future Blood Testing Landscape report - Prof Dimitris Grammatopoulos (University Hospitals Coventry & Warwickshire, University of Warwick) |
Description | This video is the second talk from our two day Future Blood Testing: Challenges & Opportunities Event that took place on the 13/09/2022. Transforming the UK's diagnostics agenda after COVID-19 and grand challenges - Future Blood Testing Landscape report - Prof Dimitris Grammatopoulos (University Hospitals Coventry & Warwickshire, University of Warwick) Bio: Dimitris Grammatopoulos, PhD, FRCPath, is Professor of Molecular Medicine at Warwick Medical School and Consultant in Clinical Biochemistry and Molecular Diagnostics at the University Hospitals of Coventry and Warwickshire, NHS Trust, United Kingdom. He also leads the Novel Biomarkers theme of the Institute of Precision Diagnostics and Translational Medicine, Pathology-UHCW NHS Trust. where he combines clinical expertise in diagnostic laboratory medicine with a research track-record in application of cutting edge multidiscipline methodologies in routine clinical diagnostics. He received academic and clinical training in Newcastle, Bristol, Johns Hopkins-Baltimore and Warwick. He has expertise in biochemical/molecular diagnosis of many endocrine and metabolic disorders. His translational research interest is focused on stress hormones and homeostatic adaptations of fetal development to maternal disease as well as development of novel -omics based biomarker approaches suitable for precision medicine and better characterisation of patient phenotype. He has experience around use of AI and ML for development and refinement of clinical and diagnostic pathways for complex chronic conditions that are considered as national priorities. Dimitris is the Lead in Diagnostics, Global Health Priorities in Health, University of Warwick. Further details on this event can be found at: https://futurebloodtesting.org/event/13-14-09-2022/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://youtu.be/HiOlRzJPR7Q |
Type Of Art | Film/Video/Animation |
Year Produced | 2022 |
Impact | This video showcases our conference which brought a diverse set of community members together to discuss the research challenges and opportunities of future blood testing. |
URL | https://zenodo.org/record/7116849 |
Title | Transforming the UK's diagnostics agenda after COVID-19 and grand challenges - Future Blood Testing Landscape report - Prof Dimitris Grammatopoulos (University Hospitals Coventry & Warwickshire, University of Warwick) |
Description | This video is the second talk from our two day Future Blood Testing: Challenges & Opportunities Event that took place on the 13/09/2022. Transforming the UK's diagnostics agenda after COVID-19 and grand challenges - Future Blood Testing Landscape report - Prof Dimitris Grammatopoulos (University Hospitals Coventry & Warwickshire, University of Warwick) Bio: Dimitris Grammatopoulos, PhD, FRCPath, is Professor of Molecular Medicine at Warwick Medical School and Consultant in Clinical Biochemistry and Molecular Diagnostics at the University Hospitals of Coventry and Warwickshire, NHS Trust, United Kingdom. He also leads the Novel Biomarkers theme of the Institute of Precision Diagnostics and Translational Medicine, Pathology-UHCW NHS Trust. where he combines clinical expertise in diagnostic laboratory medicine with a research track-record in application of cutting edge multidiscipline methodologies in routine clinical diagnostics. He received academic and clinical training in Newcastle, Bristol, Johns Hopkins-Baltimore and Warwick. He has expertise in biochemical/molecular diagnosis of many endocrine and metabolic disorders. His translational research interest is focused on stress hormones and homeostatic adaptations of fetal development to maternal disease as well as development of novel -omics based biomarker approaches suitable for precision medicine and better characterisation of patient phenotype. He has experience around use of AI and ML for development and refinement of clinical and diagnostic pathways for complex chronic conditions that are considered as national priorities. Dimitris is the Lead in Diagnostics, Global Health Priorities in Health, University of Warwick. Further details on this event can be found at: https://futurebloodtesting.org/event/13-14-09-2022/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://youtu.be/HiOlRzJPR7Q |
Type Of Art | Film/Video/Animation |
Year Produced | 2022 |
Impact | About 100 participants, both in person and online, attended the presentation, including clinicians, patients, and academics. |
URL | https://zenodo.org/record/7116848 |
Title | Translating blood tests from the Academic Lab into Clinical Setting a Case Study - Dr Martin Peacock |
Description | This video is the eleventh talk from our Future of Healthcare: Remote Blood Testing, Monitoring & AI Meeting that took place on 07-08/11/2023. Translating blood tests from the Academic Lab into the Clinical Setting - a Case Study - Dr Martin Peacock (Zimmer and Peacock Ltd). Bio: Martin Peacock is a Director at Zimmer and Peacock Ltd, a company that sees sensors as a critical part of various social and commercial revolutions, such as the Internet of Things (IoT), Sensor Web, and the Invitro Diagnostics Market (IVD). With over eight years of experience in this role, He leads a team of talented scientists and engineers who partner with academia and industry to develop and manufacture innovative sensors and medical diagnostics. His core competencies include biosensor design and fabrication, biotechnology research and development, IP generation, scalable manufacturing, and customer-specific applications. He is also an Honorary Senior Lecturer (Science) at Swansea University, where he shares his knowledge and expertise in biosensors and biotechnology with students and researchers. Additionally, he is a Director at ALIKSIR LTD and CeeLab, two companies that focus on the interface between surfaces and biology, and cloud-based video conferencing solutions, respectively. His mission is to create and deliver cutting-edge solutions that address the needs and challenges of various markets and sectors, and to foster collaboration and innovation across the globe Further details on this event can be found at: https://futurebloodtesting.org/event/the-future-of-healthcare-remote-blood-testing-monitoring-ai/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://www.youtube.com/watch?v=lI2YeTpmQ40&list=PL_5Zbof1GNkCZLgQwZnxsMTQUELUCQHlp?dex=8 |
Type Of Art | Film/Video/Animation |
Year Produced | 2023 |
Impact | About 100 participants, both in person and online, attended the presentation, including clinicians, patients, and academics. |
URL | https://zenodo.org/doi/10.5281/zenodo.10277350 |
Title | Unmet Clinical Needs and Case Studies in Blood Testing - Prof Bryant Lin and Dr. Kevin Chang (Stanford University) |
Description | This video is the seventh talk from our two day Future Blood Testing: Challenges & Opportunities Event that took place on the 13/09/2022. Unmet Clinical Needs and Case Studies in Blood Testing - Prof Bryant Lin and Dr. Kevin Chang (Stanford University) Bio: Bryant Lin, MD, MEng is a primary care physician, educator and researcher. The cornerstone of Dr. Lin's work is keeping medicine focused on humans - patients, providers, families and trainees - and not lost in technology and algorithms. His research and educational interests span (1) Developing and testing novel medical technologies, (2) Improving the health of Asian populations with Precision and Population Health, and (3) Increasing expression and interconnections in the Health Community with the Humanities and Arts. After receiving his undergraduate and master's degrees in Electrical Engineering and Computer Science from MIT, he completed his MD and internal Medicine training at Tufts University School of Medicine and Tufts Medical Center. He came to Stanford to serve as a Research Fellow in Cardiac Electrophysiology and Biodesign Fellow where he learned to identify unmet human-centered needs. Since completing his post-graduate training, he stayed at Stanford as clinical faculty in Primary Care and Population Health in the Department of Medicine where he has invented and researched new medical technologies addressing unmet human-centered needs and started the Consultative Medicine Clinic evaluating patients with medical mysteries. He serves as the Training Director for the Joe and Linda Chlapaty DECIDE Center which has created a novel shared decision making tool for atrial fibrillation anticoagulation and is an investigator in several active clinical trials. Three years ago, he co-founded and currently co-directs, with Dr. Latha Palaniappan, the Center for Asian Health Research and Education (CARE) which aims to improve the health of Asians everywhere. Most recently, he has worked closely with the Medicine and the Muse leadership to help start the Stuck@Home concert series, the Stanford SoundWalk and the COVID Remembrance project. Dr. Lin has an active interest in storytelling and film-making. He co-directs an undergraduate seminar, MED 53Q "Storytelling in Medicine", with Dr. Lauren Edwards and is working with a group of students on a documentary on end-of-life care at a JapaneseAmerican Senior Home in the Bay Area. Kevin Chang MD, MS, is a primary care physician. His focus in on patient care, population health and quality improvement, and medical education. He received his undergraduate degree and master's degree in biomedical engineering from Duke University and Stanford University respectively, and completed his MD at New York University, followed by his medical training at Stanford University. He has since stayed on at Stanford as clinical faculty in Primary Care and Population Health in the Department of Medicine, where he also serves as the co-director of the resident physician Internal Medicine clinic. Further details on this event can be found at: https://futurebloodtesting.org/event/13-14-09-2022/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://youtu.be/ozk1iJYC1yk |
Type Of Art | Film/Video/Animation |
Year Produced | 2022 |
Impact | This video showcases our conference which brought a diverse set of community members together to discuss the research challenges and opportunities of future blood testing. |
URL | https://zenodo.org/record/7117136 |
Title | Unmet Clinical Needs and Case Studies in Blood Testing - Prof Bryant Lin and Dr. Kevin Chang (Stanford University) |
Description | This video is the seventh talk from our two day Future Blood Testing: Challenges & Opportunities Event that took place on the 13/09/2022. Unmet Clinical Needs and Case Studies in Blood Testing - Prof Bryant Lin and Dr. Kevin Chang (Stanford University) Bio: Bryant Lin, MD, MEng is a primary care physician, educator and researcher. The cornerstone of Dr. Lin's work is keeping medicine focused on humans - patients, providers, families and trainees - and not lost in technology and algorithms. His research and educational interests span (1) Developing and testing novel medical technologies, (2) Improving the health of Asian populations with Precision and Population Health, and (3) Increasing expression and interconnections in the Health Community with the Humanities and Arts. After receiving his undergraduate and master's degrees in Electrical Engineering and Computer Science from MIT, he completed his MD and internal Medicine training at Tufts University School of Medicine and Tufts Medical Center. He came to Stanford to serve as a Research Fellow in Cardiac Electrophysiology and Biodesign Fellow where he learned to identify unmet human-centered needs. Since completing his post-graduate training, he stayed at Stanford as clinical faculty in Primary Care and Population Health in the Department of Medicine where he has invented and researched new medical technologies addressing unmet human-centered needs and started the Consultative Medicine Clinic evaluating patients with medical mysteries. He serves as the Training Director for the Joe and Linda Chlapaty DECIDE Center which has created a novel shared decision making tool for atrial fibrillation anticoagulation and is an investigator in several active clinical trials. Three years ago, he co-founded and currently co-directs, with Dr. Latha Palaniappan, the Center for Asian Health Research and Education (CARE) which aims to improve the health of Asians everywhere. Most recently, he has worked closely with the Medicine and the Muse leadership to help start the Stuck@Home concert series, the Stanford SoundWalk and the COVID Remembrance project. Dr. Lin has an active interest in storytelling and film-making. He co-directs an undergraduate seminar, MED 53Q "Storytelling in Medicine", with Dr. Lauren Edwards and is working with a group of students on a documentary on end-of-life care at a JapaneseAmerican Senior Home in the Bay Area. Kevin Chang MD, MS, is a primary care physician. His focus in on patient care, population health and quality improvement, and medical education. He received his undergraduate degree and master's degree in biomedical engineering from Duke University and Stanford University respectively, and completed his MD at New York University, followed by his medical training at Stanford University. He has since stayed on at Stanford as clinical faculty in Primary Care and Population Health in the Department of Medicine, where he also serves as the co-director of the resident physician Internal Medicine clinic. Further details on this event can be found at: https://futurebloodtesting.org/event/13-14-09-2022/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://youtu.be/ozk1iJYC1yk |
Type Of Art | Film/Video/Animation |
Year Produced | 2022 |
Impact | About 100 participants, both in person and online, attended the presentation, including clinicians, patients, and academics. |
URL | https://zenodo.org/record/7117135 |
Description | 1. New knowledge is generated on the landscape of the current and future of blood testing. Findings from the landscape report were gathered through a literature review and interviews with key stakeholders on the future and the roadmap of blood testing. The following new findings have been discovered: • Is the regulation still fit for purpose? The strength of the diagnostics regulation, areas for improvement, recommendations and opportunities have been identified. • The current state of the art of diagnostic services in the UK. An overview analysis is conducted with findings including: 1) key developments over the past 20+ years that shaped the current landscape; 2) the modernisation agenda, service reconfiguration and the Carter review; 3) the need for change: pathology networks to improve efficiencies. • Recommendations on the UK diagnostic landscape reform and future blood testing have been developed, covering strategy, planning and future roles, structure, modernization, and partner collaboration. 2. New knowledge is generated on the technologies of remote blood monitoring, AI and clinical development. This includes novel research funded by the Network: • Development of an implantable device for continuous monitoring of blood biomarkers • Smart Portable and Fast Acute myocardial Infraction Detection Device for Ambulance Use • Innovation in rehabilitation technologies through multimodal blood analysis • Raman spectroscopy for remote blood testing • Multi-modal deep learning approaches for identification of prognostic and diagnostic biomarkers • Towards point-of-care blood monitoring of therapeutic interventions; the case of testosterone treatment • Wearable Otological Measurement of Blood Analytes • FERRIQ: Ai-Driven Mapping of Disease Trajectories of Patients with Genetic Iron Overload to Inform Development of Clinical Decision Support Systems 3. New knowledge and AI software are being developed to process multimodal data, including blood testing and electronic patient records (EPR) with a focus on inflammatory arthritis (IA). The idea and the consortium were developed from the Network meetings. Both blood test results and blood monitoring data are used with EPR to develop IA early detection and IA flare-up prediction models. This work has been awarded NIHR FAST, EPSRC and NIHR Product Development Award in 2023. Software products will be piloted at Royal Berkshire NHS Foundation Trust and Oxford University Hospitals from 2024 to 2027. 4. New international consortium on virtual ward and remote blood monitoring. A UK-Canada-Hong Kong consortium is developed between our Network and the International Society of Digital Health. A mini-track at The Hawaii International Conference on System Sciences (HICSS) is organised https://hicss.hawaii.edu/tracks-58/information-technology-in-healthcare/#applying-digital-technologies-and-ai-in-virtual-hospitals-exploring-global-innovative-models-minitrack |
Exploitation Route | The findings of the landscape of UK diagnostics might be taken forward for policymakers to use. The technology and product developed in the network will be used by healthcare professionals and patients. |
Sectors | Healthcare |
Description | The analysis of blood test results of patients who are referred to the Rheumatology department at Royal Berkshire NHS Foundation Trust (RBFT) has shown important blood test results and factors to identify inflammatory arthritis. This has driven the change of referral letters from GP to secondary care at RBFT. GPs are asked to fill in important information, including key blood test results, during the referral so that key information can be collected early. Other impacts of the landscape of UK diagnostic and technologies are under development. |
First Year Of Impact | 2024 |
Sector | Healthcare |
Impact Types | Policy & public services |
Description | Data Institute to support local real-world AI and analytics in NHS |
Geographic Reach | Local/Municipal/Regional |
Policy Influence Type | Contribution to new or improved professional practice |
Impact | Raised awareness of benefits, risk, challenges and methodologies of implementing AI in healthcare in NHS. |
Description | MSc training course focusing on bridging the implementation gap of AI in healthcare |
Geographic Reach | Local/Municipal/Regional |
Policy Influence Type | Influenced training of practitioners or researchers |
Impact | Raised awareness of the public about the importance and barriers to deploying AI in real-world healthcare and the roadmap to overcome those barriers. |
URL | https://www.reading.ac.uk/module/document.aspx?modP=INMR96&modYR=2324 |
Description | Msc training Course focusing on the implementation of medical imaging and diagnostic techniques |
Geographic Reach | Local/Municipal/Regional |
Policy Influence Type | Influenced training of practitioners or researchers |
Impact | Raised awareness to the public about Technological advances, legal, ethical and economic factors that led to a vast expansion in medical imaging and diagnostics. Emphasizing on the need for digital-based healthcare solutions to meet the changing needs and expectations of patients. |
URL | https://warwick.ac.uk/study/postgraduate/courses/pgcert-pgdip-msc-diagnostics-data-digital-health |
Description | Advancing machine learning to achieve real-world early detection and personalised disease outcome prediction of inflammatory arthritis |
Amount | £619,660 (GBP) |
Funding ID | EP/Y019393/1 |
Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
Sector | Public |
Country | United Kingdom |
Start | 09/2023 |
End | 04/2025 |
Description | MRC IAA 2021 University of Kent |
Amount | £357,000 (GBP) |
Funding ID | MR/X502753/1 |
Organisation | Medical Research Council (MRC) |
Sector | Public |
Country | United Kingdom |
Start | 03/2022 |
End | 03/2025 |
Description | Machine learning based rheumatic and musculoskeletal disease (RMD) risk stratification to improve disease detection and referral triage in rheumatology |
Amount | £39,991 (GBP) |
Funding ID | NIHR205854 |
Organisation | National Institute for Health Research |
Sector | Public |
Country | United Kingdom |
Start | 06/2023 |
End | 11/2023 |
Description | RMD-Health: Machine learning-enabled decision support system to improve early detection and referral of rheumatic and musculoskeletal diseases |
Amount | £1,165,145 (GBP) |
Funding ID | NIHR206473 |
Organisation | National Institute for Health Research |
Sector | Public |
Country | United Kingdom |
Start | 09/2024 |
End | 10/2027 |
Description | The Kent Mycoprotein Hub |
Amount | £94,120 (GBP) |
Organisation | Biotechnology and Biological Sciences Research Council (BBSRC) |
Sector | Public |
Country | United Kingdom |
Start | 09/2023 |
End | 03/2024 |
Description | The virtual hug of support and its impact on healthcare outcomes and barriers |
Amount | £15,000 (GBP) |
Organisation | The Health Foundation |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 12/2022 |
End | 06/2023 |
Description | UK Community Renewal Fund: Net Zero Pathway for Change |
Amount | £638,115 (GBP) |
Organisation | Ministry of Housing, Communities and Local Government |
Sector | Public |
Country | United Kingdom |
Start | 12/2021 |
End | 12/2022 |
Title | A heterogeneous data-driven hybrid machine learning method to improve triaging from primary care into secondary care |
Description | 1. Research dataset: The dataset is collected from the Rheumatology Department of a large secondary care hospital in the UK. This dataset includes several kinds of data modalities, including the GP referral letters, clincial information summary and the blood test results provided by the GP clinics. 2. Model: We developed a heterogeneous data-driven hybrid machine learning model to handel the different data modalities, including a BERT-based NLP model to handle the free text, a series of classical machine learning methods to handle the blood test results, and a probabilistic model to fuse the predictions of different models. |
Type Of Material | Data analysis technique |
Year Produced | 2022 |
Provided To Others? | No |
Impact | 1. The proposed heterogeneous data-driven hybrid machine learning model achieved a precision of 0.83, recall of 0.82, F1-Score of 0.83, accuracy of 0.82, AUC of 0.90 in identifying patients with non-inflammatory conditions (NIC) and inflammatory arthritis (IA) at the point of triage with explainable risk stratifications. 2. Our model is piloted in a real-world trial in a large secondary care hospital in the UK to compare referral accuracy and time saved between our model and clinicians, and evaluate its acceptability by users. 3. Our model achieved precision and recall of 0.83 and 0.81, compared with the precision and recall of 0.80 and 0.78 by clinicians. 4. The research also shows that our model enabled decision support can save clinicians 8 hours per week in assessing the referral assessment. 5. This research is the first study to streamline hospital triage from primary care to secondary care using machine learning. |
URL | https://www.sciencedirect.com/science/article/pii/S0167923622001701 |
Title | Phenotyping chronic kidney disease and diabetic chronic kidney disease in community and acute care settings using machine learning methods |
Description | 1. Dataset: The data from RBFT databases consisted of 45652 anonymized observationson 55 independent variables. 2. Model: Phenotyping is an iterative process done in threep hases: (1) Datapreparation: The continuous variables were box-cox transformed scaled and centred, while binary and othercategorial variables were studied as nominal and ordinal; (2) Dimensionality reduction (PCA); (3) Clustering (K-Means) for phenotype discovery. |
Type Of Material | Data analysis technique |
Year Produced | 2022 |
Provided To Others? | No |
Impact | (1) 7 phenotype were found in the secondary care setting (RBH) and 4 phenotypes were found in the community care setting (Berkshire). (2) Men and women were equally suffering from CKD, and DMCKD. (3) Morbidity of men was higher than women by 40% in the entire CKD cohort as 31% of them had either hypertension or heart disease or urinary tractinfection. (4) Diabetes duration played a key role in CKD progression to stages 3-4-5-6 at a faster rate than due to heart disease or hypertension. (5) A non-diabetic underweight patient progressed to End Stage Renal disease at an average rate of 1% while a diabetic underweight patient progressed at 8%. (6) The seventh phenotype revealed that patients of the entire CKD cohort administered by SGLT2 inhibitors showed strong resistance to disease progression than by other medication. (7) Next step to compare phenotypes in the two datasets and how this can inform personalised patient pathway. |
Title | Time in Patterns: Machine Learning based Blood Glucose Fluctuation Pattern Recognition for Type 1 Diabetes Management in Continuous Glucose Monitoring |
Description | 1. Model: A machine learning-based framework was proposed for blood glucose fluctuation pattern recognition, which enables a more comprehensive representation of glycemic variability profiles that could present detailed fluctuation information and be easily understood by clinicians; and to provide insights on patient groups based on time in blood fluctuation patterns. Hierarchical clustering was then applied on time in patterns to form four clusters of patients. Patient groups were compared through statistical analysis. 2. Dataset. 1.5 million measurements from 126 patients in the UK with type 1 diabetes were collected, and prevalent blood fluctuation patterns were extracted using dynamic time warping. The patterns were further validated in 225 patients in US with type 1 diabetes. |
Type Of Material | Data analysis technique |
Year Produced | 2022 |
Provided To Others? | No |
Impact | 1. Six patterns depicting distinctive glucose levels and trends were found and validated. Based on which, four glycemic variability profiles of type 1 diabetes patients were found. They were significantly different in terms of glycemic statuses such as diabetes duration, HbA1c and time in range, and thus had different management needs. 2. The proposed method can analytically extract existing blood fluctuation patterns in CGM data. Thus, time in patterns can capture a richer view of patients' glycemic variability profile. Its conceptual resemblance with time in range plus rich blood fluctuation details makes it more scalable, accessible and informative to clinicians. |
Title | Triage Into the Community for COVID-19 (TICC-19) Patients Pathway - Service evaluation of the virtual monitoring of patients with COVID pneumonia |
Description | This research uses the statistical methods to analyse the designed pathway for the triage and assessment of patients based on their resting oxygen saturations and response to a 30 metre rapid walking test. And the dataset consists of 273 patients during the first wave of Covid-19. |
Type Of Material | Data analysis technique |
Year Produced | 2020 |
Provided To Others? | No |
Impact | 1. Results show that our proposed service evaluation of the Triage into the Community for COVID-19 (TICC-19) Virtual Ward is feasible, safe, cost effective and provides an excellent patient experience. 2. Based on our research, 99.5% of patients were likely or extremely likely to recommend the service to their family and friends. There was a cost avoidance of £107,600 per month. |
URL | https://acutemedjournal.co.uk/wp-content/uploads/2020/11/p183-191-1.pdf |
Description | AI for Scientific Discovery Network+ |
Organisation | University of Southampton |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | We have had presentations in AI for Scientific Discovery Network conference on Future Blood Testing. |
Collaborator Contribution | Introducing AI in Chemistry into healthcare applications which are key in Future Blood Testing. |
Impact | Interdisciplinary research is under development including healthcare, chemistry, AI and ethics. |
Start Year | 2021 |
Description | British Standards Institute (BSI) |
Organisation | British Standards Institute (BSI Group) |
Country | United Kingdom |
Sector | Charity/Non Profit |
PI Contribution | Dr. Emma Glass from BSI is a member of the Advisory Board for the Network+. |
Collaborator Contribution | The Advisory Board assesses Network+ activities within policy and practice frameworks, proposes expansion strategies and advocates for the Network within stakeholder communities. |
Impact | The network benefits from strategic direction formed by the advisory board's recommendations, ensuring long-term sustainability and fostering innovation and growth. |
Start Year | 2021 |
Description | Brunel University London |
Organisation | Brunel University London |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | We provided feasibility funding for their research "Smart Portable and Fast Acute Myocardial Infarction Detection Device for Ambulance Crew Use " |
Collaborator Contribution | We will codevelop the project "Smart Portable and Fast Acute Myocardial Infarction Detection Device for Ambulance Crew Use" with the Network team |
Impact | This is an interdisciplinary project and outputs will be developed including paper, device and model. |
Start Year | 2023 |
Description | Chinese University of Hong Kong |
Organisation | Chinese University of Hong Kong |
Country | Hong Kong |
Sector | Academic/University |
PI Contribution | Prof. Kelvin Tsoi from Chinese University of Hong Kong is a member of the Advisory Board for the Network+. |
Collaborator Contribution | The Advisory Board assesses Network+ activities within policy and practice frameworks, proposes expansion strategies and advocates for the Network within stakeholder communities. |
Impact | The network benefits from strategic direction formed by the advisory board's recommendations, ensuring long-term sustainability and fostering innovation and growth |
Start Year | 2021 |
Description | Data engineering for blood testing data |
Organisation | Massachusetts Institute of Technology |
Country | United States |
Sector | Academic/University |
PI Contribution | Open data and use case senarios. We will codevelop data engineering framework for real-world blood monitoring data processing and automation. |
Collaborator Contribution | Time and expertise. We will codevelop data engineering framework for real-world blood monitoring data processing and automation. |
Impact | There will be a data engineering pipeline and framework as an opensource tool for public to use. |
Start Year | 2021 |
Description | Future Blood Testing standards |
Organisation | British Standards Institute (BSI Group) |
Country | United Kingdom |
Sector | Charity/Non Profit |
PI Contribution | We will codevelop the landscape report and future blood testing standards. |
Collaborator Contribution | BSI will project industry knowledge and expertise on medical device standards |
Impact | The output of policy paper is under development. |
Start Year | 2021 |
Description | Hawaii International Conference on System Sciences |
Organisation | University of Hawaii |
Country | United States |
Sector | Academic/University |
PI Contribution | Organisation of a minitrack: digitally enabled blood testing in healthcare |
Collaborator Contribution | Provide a minitrack session for us in the large HICSS conference |
Impact | Minitrack in HICSS 57, conference and journal papers will be selected in June 2023 |
Start Year | 2023 |
Description | Innovation in rehabilitation technologies through multimodal blood analysis |
Organisation | University of Strathclyde |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | We provide feasibility study funding for the project "Innovation in rehabilitation technologies through multimodal blood analysis". We also provide publicity platform for project result dissemination. |
Collaborator Contribution | Codevelop the project Innovation in rehabilitation technologies through multimodal blood analysis. |
Impact | This is a multi-disciplinary partnership. The outcome will be developed soon including paper, models and software. |
Start Year | 2023 |
Description | Karolinska Institute |
Organisation | Karolinska Institute |
Country | Sweden |
Sector | Academic/University |
PI Contribution | Dr Hector Zenil from Karolinska Institute is a member of the Advisory Board for the Network+. |
Collaborator Contribution | The Advisory Board assesses Network+ activities within policy and practice frameworks, proposes expansion strategies and advocates for the Network within stakeholder communities. |
Impact | The network benefits from strategic direction formed by the advisory board's recommendations, ensuring long-term sustainability and fostering innovation and growth |
Start Year | 2021 |
Description | Kings College London |
Organisation | King's College London |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Provide feasibility study funding for the research project: Multi-modal deep learning approaches for identification of prognostic and diagnostic biomarkers |
Collaborator Contribution | Co-develop novel methods on Multi-modal deep learning approaches for identification of prognostic and diagnostic biomarkers |
Impact | The collaboration is multi-disciplinary. Outputs will be papers, models and software, as well as scientific discovery. |
Start Year | 2023 |
Description | Massachusetts Institute of Technology |
Organisation | Massachusetts Institute of Technology |
Country | United States |
Sector | Academic/University |
PI Contribution | Prof. John Williams from Massachusetts Institute of Technology is a member of the Advisory Board for the Network+. |
Collaborator Contribution | The Advisory Board assesses Network+ activities within policy and practice frameworks, proposes expansion strategies and advocates for the Network within stakeholder communities. |
Impact | The network benefits from strategic direction formed by the advisory board's recommendations, ensuring long-term sustainability and fostering innovation and growth |
Start Year | 2021 |
Description | Medical device application in US |
Organisation | Stanford University |
Country | United States |
Sector | Academic/University |
PI Contribution | We will compare the blood monitoring device between US and UK and study innovative clinical applications. |
Collaborator Contribution | Time and expertise of US medicine and clinical practice |
Impact | There will be outcome developed as comparative study reports. |
Start Year | 2021 |
Description | Personalised analytics using longitudinal blood monitoring data and AI and machine learning-based testing analysis |
Organisation | University of Warwick |
Department | Department of Computer Science |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | We provide feasibility study funding for the project "Personalised analytics using longitudinal blood monitoring data and AI and machine learning-based testing analysis" |
Collaborator Contribution | We will codevelop the project on "Personalised analytics using longitudinal blood monitoring data and AI and machine learning-based testing analysis" |
Impact | Multi-disciplinary. Outcomes including publication, software and models will be developed. |
Start Year | 2023 |
Description | Royal Berkshire NHS Foundation Trust |
Organisation | Royal Berkshire NHS Foundation Trust |
Country | United Kingdom |
Sector | Public |
PI Contribution | Dr. Anthony Bradlow and Dr Antoni Chan from Royal Berkshire NHS Foundation Trust contribute as members of the Advisory Board for the Network+. |
Collaborator Contribution | The Advisory Board assesses Network+ activities within policy and practice frameworks, proposes expansion strategies and advocates for the Network within stakeholder communities. |
Impact | The network benefits from strategic direction formed by the advisory board's recommendations, ensuring long-term sustainability and fostering innovation and growth |
Start Year | 2021 |
Description | Royal Holloway University of London |
Organisation | Royal Holloway, University of London |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Dr. Philip Wu from Holloway University of London is a member of the Advisory Board for the Network+. |
Collaborator Contribution | The Advisory Board assesses Network+ activities within policy and practice frameworks, proposes expansion strategies and advocates for the Network within stakeholder communities. |
Impact | The network benefits from strategic direction formed by the advisory board's recommendations, ensuring long-term sustainability and fostering innovation and growth |
Start Year | 2021 |
Description | Sensyne Health |
Organisation | Sensyne Health |
Country | United Kingdom |
Sector | Private |
PI Contribution | Chris Phillips from Sensyne Health is a member of the Advisory Board for the Network+. |
Collaborator Contribution | The Advisory Board assesses Network+ activities within policy and practice frameworks, proposes expansion strategies and advocates for the Network within stakeholder communities. |
Impact | The network benefits from strategic direction formed by the advisory board's recommendations, ensuring long-term sustainability and fostering innovation and growth |
Start Year | 2021 |
Description | UCL Hospitals NHS Trust |
Organisation | University College London Hospitals NHS Foundation Trust |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Dr. Shivani Amdekar from UCL Hospitals NHS Trust is a member of the Advisory Board for the Network+. |
Collaborator Contribution | The Advisory Board assesses Network+ activities within policy and practice frameworks, proposes expansion strategies and advocates for the Network within stakeholder communities. |
Impact | The network benefits from strategic direction formed by the advisory board's recommendations, ensuring long-term sustainability and fostering innovation and growth. |
Start Year | 2021 |
Description | University College London |
Organisation | University College London |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Funded pilot project at the University College London "Towards point-of-care blood monitoring of therapeutic interventions; the case of testosterone treatment" |
Collaborator Contribution | The team of the University College London is undertaking this pilot project. |
Impact | Based on the report completed to date, the team submitted an abstract to ESB204 , 29th Congress of the European Society of Biomechanics, 30 June-3 July 2024 Edinburgh. |
Start Year | 2023 |
Description | University Hospitals Coventry & Warwickshire |
Organisation | University Hospitals Coventry and Warwickshire NHS Trust |
Department | Pathology Department |
Country | United Kingdom |
Sector | Hospitals |
PI Contribution | Funding landscape report on future blood testing challenges, opportunities and roadmap. |
Collaborator Contribution | Warwick medical school and University Hospitals Coventry and Warwickshire Trust are bringing in key opinion leaders in diagnostic testing and stakeholders in the UK. |
Impact | We have a perspective paper submitted to BMJ on preliminary results and we will be The collaboration is multi-disciplinary with medical, pathology service , AI and digital, focusing on clinical end users and policy maker perspectives. |
Start Year | 2021 |
Description | University of British Columbia |
Organisation | University of British Columbia |
Country | Canada |
Sector | Academic/University |
PI Contribution | Prof. Kendall Ho from University of British Columbia is a member of the Advisory Board for the Network+. |
Collaborator Contribution | The Advisory Board assesses Network+ activities within policy and practice frameworks, proposes expansion strategies and advocates for the Network within stakeholder communities. |
Impact | The network benefits from strategic direction formed by the advisory board's recommendations, ensuring long-term sustainability and fostering innovation and growth |
Start Year | 2021 |
Description | University of British Columbia and Vancouver General Hospital |
Organisation | University of British Columbia |
Country | Canada |
Sector | Academic/University |
PI Contribution | We are co-organising a conference mini-track "Digitally enabled blood testing in healthcare" in the Hawaii International Conference on System Sciences (HICSS). We are collaborating on how future blood testing can influence virtual ward in UK and Canada. |
Collaborator Contribution | We are co-organising a conference mini-track "Digitally enabled blood testing in healthcare" in the Hawaii International Conference on System Sciences (HICSS). We are collaborating on how future blood testing can influence virtual ward in UK and Canada. |
Impact | Current outcomes involve the mini track "Digitally enabled blood testing in healthcare" in the Hawaii International Conference on System Sciences (HICSS) https://hicss.hawaii.edu/tracks-57/information-technology-in-healthcare/#digitally-enabled-blood-testing-in-healthcare-minitrack |
Start Year | 2021 |
Description | University of Cambridge and Cambridge University Hospitals NHS Foundation Trust |
Organisation | Cambridge University Hospitals NHS Foundation Trust |
Country | United Kingdom |
Sector | Public |
PI Contribution | Prof. Kourosh Saeb-Parsy from University of Cambridge and Cambridge University Hospitals NHS Foundation Trust is a member of the Advisory Board for the Network+. |
Collaborator Contribution | The Advisory Board assesses Network+ activities within policy and practice frameworks, proposes expansion strategies and advocates for the Network within stakeholder communities. |
Impact | The network benefits from strategic direction formed by the advisory board's recommendations, ensuring long-term sustainability and fostering innovation and growth. |
Start Year | 2021 |
Description | University of Cambridge and Cambridge University Hospitals NHS Foundation Trust |
Organisation | University of Cambridge |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Prof. Kourosh Saeb-Parsy from University of Cambridge and Cambridge University Hospitals NHS Foundation Trust is a member of the Advisory Board for the Network+. |
Collaborator Contribution | The Advisory Board assesses Network+ activities within policy and practice frameworks, proposes expansion strategies and advocates for the Network within stakeholder communities. |
Impact | The network benefits from strategic direction formed by the advisory board's recommendations, ensuring long-term sustainability and fostering innovation and growth. |
Start Year | 2021 |
Description | University of Kent |
Organisation | University of Kent |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Funded pilot project at the University of Kent "Raman spectroscopy for remote blood testing" |
Collaborator Contribution | The team of the University of Kent is undertaking this pilot project. |
Impact | The team is currently working on the evaluation of SERS strip techniques providing new insight into using handheld Raman technologies in non-clinical scenarios. |
Start Year | 2023 |
Description | University of Nottingham |
Organisation | University of Nottingham |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Funded pilot projects at the University of Nottingham "Development of an implantable device for continuous monitoring of blood biomarkers" and "Wearable Otological Measurement of Blood Analytes ". |
Collaborator Contribution | The team of the University of Nottingham is undertaking this pilot project. |
Impact | The team successfully fabricated lab based optical fibre sensing platform with SPR functionalization, which enables the additional functional layer fabrication for the target measurands. Presentation conducted in the conference of Future of Healthcare: Remote Blood Testing, Monitoring & AI, 7-8 November 2023, Southampton, UK [https://www.youtube.com/watch?v=xpB2sznJzqw&t=32s]. |
Start Year | 2023 |
Description | University of Oxford |
Organisation | University of Oxford |
Department | Oxford Internet Institute |
Country | United Kingdom |
Sector | Private |
PI Contribution | Prof. Brent Mittelstadt from University of Oxford is a member of the Advisory Board for the Network+. |
Collaborator Contribution | The Advisory Board assesses Network+ activities within policy and practice frameworks, proposes expansion strategies and advocates for the Network within stakeholder communities. |
Impact | The network benefits from strategic direction formed by the advisory board's recommendations, ensuring long-term sustainability and fostering innovation and growth. |
Start Year | 2021 |
Description | University of Strathclyde |
Organisation | University of Strathclyde |
Department | Department of Biomedical Engineering |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Funded pilot project at University of Strathclyde entitled "Innovation in rehabilitation technologies through multimodal blood analysis". Worked with the team to formalise the research plan. |
Collaborator Contribution | The team at the University of Strathclyde are undertaking research for this pilot project. |
Impact | Initial work has been conducted to recruit stroke survivor patients for blood donation, who are part of an 8 week rehabilitation programme. This is an ongoing task, but has resulted in some initial blood to work with to improve their methodology for analysis against healthy blood. |
Start Year | 2023 |
Description | Virtual ward supported by blood monitoring |
Organisation | Victoria Hospital |
Country | Canada |
Sector | Hospitals |
PI Contribution | Provide virtual ward and remote blood monitoring experience and policy in the UK |
Collaborator Contribution | Provide NHS England virtual ward and remote blood monitoring policy and knowledge |
Impact | The output will be papers to inform policy on the virtual ward in clinical practice in both UK and Canada. |
Start Year | 2021 |
Title | Risk stratification model for rheumatic and musculoskeletal diseases |
Description | The software package of the AI model to detect and differentiate inflammatory arthritis and non-inflammatory conditions. |
Type Of Technology | Software |
Year Produced | 2023 |
Impact | The impact is being developed and if it is applied in the NHS it will improve referrals in rheumatology. |
Description | AI for Scientific Discovery conference |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | 60 researchers attended with questions, research idea, research collaboration developed. |
Year(s) Of Engagement Activity | 2022 |
URL | https://www.ai4science.network/ai4sd-conference-2022/abstracts/ |
Description | Barbados/California Researcher/Public Visit |
Form Of Engagement Activity | Participation in an open day or visit at my research institution |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Hosted visiting researchers from Barbados, California and public represantives of African and African Carribean communities in the West Midlands discussing Diabetes research. The group visited the lab where we demonstrated research projects and gave tour of the lab. Highlighted motion capture technologies we were using across projects. |
Year(s) Of Engagement Activity | 2023 |
URL | https://warwick.ac.uk/fac/arts/history/chm/research_refresh/current_test/equalhealth |
Description | Building a Sustainable UK Diagnostic Sector II: the Regional Dimension - West Midlands Leading the Way |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Professional Practitioners |
Results and Impact | This event brought together key stakeholders from across the NHS, academia, industry and regulatory bodies to explore how we can enhance cross-sector collaboration to turbo-charge local growth by building the infrastructure necessary for the development and implementation of innovative diagnostics. With a focus on our distinctive expertise in diagnostics, data and devices, we considered how best to exploit these assets to create a sustainable and internationally-recognised activity in the West Midlands. |
Year(s) Of Engagement Activity | 2022 |
URL | https://warwick.ac.uk/research/priorities/health/events/bsukdsii/ |
Description | Digital Health Conference at Stanford University |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Public/other audiences |
Results and Impact | Weizi Li talked about how to bridge the implementation gap of AI in healthcare. More than 300 academics, industry, medical and postgraduate students attended the conference and the pannel. |
Year(s) Of Engagement Activity | 2024 |
URL | https://www.timeshighered-events.com/digital-health-2024/agenda/session/1196680 |
Description | Future Blood Testing - The Future of Healthcare: Remote Blood Testing, Monitoring & AI |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | The workshop was held at the Leonardo Hotel Southampton and showcased a diverse array of speakers who delved into topics such as the future of healthcare, remote blood testing, monitoring, and artificial intelligence (AI). |
Year(s) Of Engagement Activity | 2023 |
URL | https://futurebloodtesting.org/event/the-future-of-healthcare-remote-blood-testing-monitoring-ai/ |
Description | Future Blood Testing Funding Town Call Meeting |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Industry/Business |
Results and Impact | Town Meeting run to explain our landscape funding call. As a result of this we had 4 applications and successfully funded one to produce an extensive landscape report for our Network. |
Year(s) Of Engagement Activity | 2022 |
URL | https://futurebloodtesting.org/event/03-02-2021-future-blood-testing-network-landscape-report-fundin... |
Description | Future Blood Testing Network Launch Meeting |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Launch meeting attended by people from academia, industrial, commercial, and governmental organisations raised considerable interest in the Network activities and the membership (as defined by the email list) is now 158. |
Year(s) Of Engagement Activity | 2021 |
URL | https://futurebloodtesting.org/event/23-11-21-future-blood-testing-network-launch/ |
Description | Future Blood Testing: Challenges & Opportunities |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Hybrid Meeting held to bring the community together to talk about the challenges and opportunities of blood testing. |
Year(s) Of Engagement Activity | 2022 |
URL | https://futurebloodtesting.org/event/13-14-09-2022/ |
Description | HICSS 57 mini-track: Digitally-enabled Blood Testing in Healthcare |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Public/other audiences |
Results and Impact | A mini-track Digitally-enabled Blood Testing in Healthcare was organised at The 57th Hawaii International Conference on System Sciences (HICSS), which sparked discussions and follow-up collaborations with international consortiums. |
Year(s) Of Engagement Activity | 2024 |
URL | https://scholarspace.manoa.hawaii.edu/collections/dee1126f-249b-4895-a070-145447c866e8 |
Description | HICSS-58: mini track "Applying Digital Technologies and AI In Virtual Hospitals: Exploring Global Innovative Models Minitrack" |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Public/other audiences |
Results and Impact | This minitrack showcased different virtual hospital models being implemented in various health systems in different countries, exploring their designs, implementation, evaluation, strengths, and issues needing calibration or attention. |
Year(s) Of Engagement Activity | 2024 |
URL | https://hicss.hawaii.edu/tracks-58/information-technology-in-healthcare/#applying-digital-technologi... |
Description | Health Service Journal panel discussion: Could the NHS make greater use of remote testing? |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | Idea of future blood testing technology and the vision has been delivered to a wide range of audience and sparked questions and discussions afterwards. |
Year(s) Of Engagement Activity | 2022 |
URL | https://www.hsj.co.uk/technology-and-innovation/could-the-nhs-make-greater-use-of-remote-testing/703... |
Description | Innovation Bootcamp |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Industry/Business |
Results and Impact | Developed and delivered a yearly Innovation-focussed event to support networking and engagement between the University and local businesses, including training to support University PG students and staff to prepare to spin-out their research. Networking events involved quick-fire sharing of research and building new collaborative networks. This has now become a yearly event. |
Year(s) Of Engagement Activity | 2022,2023 |
Description | Insights Article on the use of digital tools in clinical research |
Form Of Engagement Activity | Engagement focused website, blog or social media channel |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | WMG Insights article promoted on the website and social media summarising the research findings of the study. |
Year(s) Of Engagement Activity | 2023 |
URL | https://warwick.ac.uk/fac/sci/wmg/news-and-events/wmg-insights/insights-assetbank/?newsItem=8a1785d7... |
Description | International Conference on Neutron Scattering |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Postgraduate students |
Results and Impact | Presentation about EPSRC funded research and advertising EPSRC funded network at an international subject-specific research conference. |
Year(s) Of Engagement Activity | 2022 |
Description | Keynote at Eastern Arc Conference 2023 |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Third sector organisations |
Results and Impact | Opening Keynote to set to the tone for the Eastern Arc: Food in a Time of Crisis conference. |
Year(s) Of Engagement Activity | 2023 |
URL | https://easternarc.ac.uk/eastern-arc-conference-2023-food-in-a-time-of-crisis/ |
Description | Measuring Cancer Earlier Partnership Workshop |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Industry/Business |
Results and Impact | Invited to participate in this partnership building workshop. |
Year(s) Of Engagement Activity | 2021 |
Description | OBN BioTuesday: A Spotlight on Cardiovascular Disease & Diagnostics - Thrombosis, Platelets & Personalised Medicine |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | Local |
Primary Audience | Professional Practitioners |
Results and Impact | Speakers provided insight into current trends in the treatment and diagnosis of cardiovascular diseases and thrombosis, with a view on new methodologies employing artificial intelligence (AI) for blood diagnostics improving their accuracy and information-content. The networking included life sciences SME's, big pharma, academia, service providers, corporate partners, and investors. |
Year(s) Of Engagement Activity | 2024 |
URL | https://plateletsociety.co.uk/wp-content/uploads/2024/02/OBN_BioTuesday_cardiovascular_mailer_Feb202... |