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)
- University of Warwick (Collaboration)
- Massachusetts Institute of Technology (Collaboration, Project Partner)
- UNIVERSITY HOSPITALS COVENTRY AND WARWICKSHIRE NHS TRUST (Collaboration)
- University of Hawaii (Collaboration)
- British Standards Institute (BSI Group) (Collaboration)
- Stanford University (Collaboration)
- Brunel University London (Collaboration)
- UNIVERSITY OF SOUTHAMPTON (Collaboration)
- UNIVERSITY OF STRATHCLYDE (Collaboration)
- Victoria Hospital (Collaboration)
- UNIVERSITY OF BRITISH COLUMBIA (Collaboration)
- KING'S COLLEGE LONDON (Collaboration)
- Oxford Immune Algorithmics (Project Partner)
- Karolinska Institute (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)
- Sensyne Health (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
Armstrong A
(2021)
Towards a neutron and X-ray reflectometry environment for the study of solid-liquid interfaces under shear
in Scientific Reports
Díaz-Fernández A
(2022)
An impedimetric immunosensor for the selective detection of CD34+ T-cells in human serum
in Sensors and Actuators B: Chemical
Gonzalez-Martinez JF
(2022)
MUC5B mucin films under mechanical confinement: A combined neutron reflectometry and atomic force microscopy study.
in Journal of colloid and interface science
Grammatopoulos DK
(2022)
Transforming the UK's diagnostics agenda after COVID-19.
in Lancet (London, England)
McManus R
(2022)
Thermography for disease detection in livestock: A scoping review.
in Frontiers in veterinary science
Mears L
(2021)
Structural Evidence for a Reinforcing Response and Retention of Hydration During Confinement of Cartilage Lipids
in Frontiers in Physics
Mustafa A
(2022)
A flow-through microfluidic chip for continuous dielectrophoretic separation of viable and non-viable human T-cells.
in Electrophoresis
Nicholas Berin Chan
(2023)
Time in Patterns: Machine Learning based Blood Glucose Fluctuation Pattern Recognition for Type 1 Diabetes Management in Continuous Glucose Monitoring
in JMIR Artifitial Intelligance
Wang B
(2023)
Improving triaging from primary care into secondary care using heterogeneous data-driven hybrid machine learning
in Decision Support Systems
Wieser V
(2021)
Hydration Forces Dominate Surface Charge Dependent Lipid Bilayer Interactions under Physiological Conditions.
in The journal of physical chemistry letters
Zec N
(2021)
Mutually Beneficial Combination of Molecular Dynamics Computer Simulations and Scattering Experiments.
in Membranes
| 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 | 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 | 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 | 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: 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 | 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 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 | 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 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 | 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 | 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 | 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 | 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 | 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 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 | 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 | 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 |
| 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 |
| 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 as well as 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 | 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 | 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 | 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 | 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 | 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 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 | 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 |
| 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 | 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 | 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 | 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 | 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 |