Cambridge Mathematics of Information in Healthcare (CMIH)
Lead Research Organisation:
University of Cambridge
Department Name: Applied Maths and Theoretical Physics
Abstract
In our work in the current edition of the CMIH we have built up a strong pool of researchers and collaborations across the board from mathematics, statistics, to engineering, medical physics and clinicians. Our work has also confirmed that imaging data is a very important diagnostic biomarker, but also that non-imaging data in the form of health records, memory tests and genomics are precious predictive resources and that when combined in appropriate ways should be the source for AI-based healthcare of the future.
Following this philosophy, the new CMIH brings together researchers from mathematics, statistics, computer science and medicine, with clinicians and relevant industrial stakeholder to develop rigorous and clinically practical algorithms for analysing healthcare data in an integrated fashion for personalised diagnosis and treatment, as well as target identification and validation on a population level. We will focus on three medical streams: Cancer, Cardiovascular disease and Dementia, which remain the top 3 causes of death and disability in the UK.
Whilst applied mathematics and mathematical statistics are still commonly regarded as separate disciplines there is an increasing understanding that a combined approach, by removing historic disciplinary boundaries, is the only way forward. This is especially the case when addressing methodological challenges in data science using multi-modal data streams, such as the research we will undertake at the Hub. This holistic approach will support the Hub aims to bring AI for healthcare decision making to the clinical end users.
Following this philosophy, the new CMIH brings together researchers from mathematics, statistics, computer science and medicine, with clinicians and relevant industrial stakeholder to develop rigorous and clinically practical algorithms for analysing healthcare data in an integrated fashion for personalised diagnosis and treatment, as well as target identification and validation on a population level. We will focus on three medical streams: Cancer, Cardiovascular disease and Dementia, which remain the top 3 causes of death and disability in the UK.
Whilst applied mathematics and mathematical statistics are still commonly regarded as separate disciplines there is an increasing understanding that a combined approach, by removing historic disciplinary boundaries, is the only way forward. This is especially the case when addressing methodological challenges in data science using multi-modal data streams, such as the research we will undertake at the Hub. This holistic approach will support the Hub aims to bring AI for healthcare decision making to the clinical end users.
Planned Impact
The interdisciplinary approach relating fundamental mathematical research to the life sciences is desired but rarely delivered. Our experience in the current Cambridge EPSRC maths in healthcare centre has taught us that the main reason for this is the considerable effort needed to deeply engage with researchers in other disciplines outside of one's own. Genuinely impactful applied mathematical work needs strong relationships and trust between investigators. The CMIH already has a strong track-record of delivery with > 100 papers (approximately 50/50 in mathematical and medical journals and > 1000 citations), >10 medical image analysis software packages, 30 active interdisciplinary and industrial collaborations, and >£18M of further research funding. We thus believe that our new Hub will start from a position of great strength to develop clinically-purposeful algorithms (in close collaboration with clinicians) and to turn those into clinically practical AI tools (the latter will be supported by the Dundee HDR UK arm, i.e. Emily Jefferson).
Beyond academic beneficiaries, the hub will focus on using this advantageous position to deliver impact in healthcare areas. The location of the hub lends itself to benefit from the numerous related activities already happening within Cambridge, where interdisciplinary biomedical research is second to none. Engaging with partners like Cancer Research UK Cambridge Institute, the Wellcome Trust Genome Campus or the NIHR Cambridge Biomedical Research Centre significantly increases the likelihood of tangible impact being delivered at the hub. Furthermore, we will work with the other EPSRC funded hubs to maximise the joint impact provided to healthcare users and the general public more widely.
Developments in healthcare technologies have far reaching impacts beyond the academic research alone. Improvements in clinical decision making processes through the integration of multi-modal data and AI will advance patient treatments and care, thus improving outcomes while reducing costs. Beneficiaries include the clinicians themselves and the healthcare organisations they represent, the NHS (and other equivalent health services internationally), patients and ultimately the general public. Furthermore, the IP generated from the hub and the subsequent technological innovation will benefit technology companies and the wider healthcare tech community, further improving the ability of healthcare providers to diagnose, treat and care for patients and their families.
Beyond academic beneficiaries, the hub will focus on using this advantageous position to deliver impact in healthcare areas. The location of the hub lends itself to benefit from the numerous related activities already happening within Cambridge, where interdisciplinary biomedical research is second to none. Engaging with partners like Cancer Research UK Cambridge Institute, the Wellcome Trust Genome Campus or the NIHR Cambridge Biomedical Research Centre significantly increases the likelihood of tangible impact being delivered at the hub. Furthermore, we will work with the other EPSRC funded hubs to maximise the joint impact provided to healthcare users and the general public more widely.
Developments in healthcare technologies have far reaching impacts beyond the academic research alone. Improvements in clinical decision making processes through the integration of multi-modal data and AI will advance patient treatments and care, thus improving outcomes while reducing costs. Beneficiaries include the clinicians themselves and the healthcare organisations they represent, the NHS (and other equivalent health services internationally), patients and ultimately the general public. Furthermore, the IP generated from the hub and the subsequent technological innovation will benefit technology companies and the wider healthcare tech community, further improving the ability of healthcare providers to diagnose, treat and care for patients and their families.
Organisations
- University of Cambridge (Lead Research Organisation)
- KPMG International Cooperative (Collaboration)
- Cancer Research UK Cambridge Institute (Collaboration)
- Royal Institute of Technology (Collaboration)
- Dassault Systèmes (United Kingdom) (Project Partner)
- Siemens (United Kingdom) (Project Partner)
- Aviva Plc (Project Partner)
- General Electric (United Kingdom) (Project Partner)
- GlaxoSmithKline (United Kingdom) (Project Partner)
- National Physical Laboratory (Project Partner)
- Canon Medical Research Europe Ltd (Project Partner)
- AstraZeneca (United Kingdom) (Project Partner)
- Cambridgeshire & Peterborough NHS FT (Project Partner)
- The Alan Turing Institute (Project Partner)
- Feedback Medical (Project Partner)
Publications
Cross-Zamirski JO
(2022)
Label-free prediction of cell painting from brightfield images.
in Scientific reports
Davenport F
(2023)
Neurodegenerative disease of the brain: a survey of interdisciplinary approaches
in Journal of the Royal Society Interface
De Farias EC
(2021)
Impact of GAN-based lesion-focused medical image super-resolution on the robustness of radiomic features.
in Scientific reports
Dittmer S
(2023)
Navigating the development challenges in creating complex data systems
in Nature Machine Intelligence
Driggs D
(2021)
A Stochastic Proximal Alternating Minimization for Nonsmooth and Nonconvex Optimization
in SIAM Journal on Imaging Sciences
Driggs D
(2021)
Machine Learning for COVID-19 Diagnosis and Prognostication: Lessons for Amplifying the Signal While Reducing the Noise.
in Radiology. Artificial intelligence
Esteve-Yagüe C
(2023)
Spectral decomposition of atomic structures in heterogeneous cryo-EM
in Inverse Problems
Description | Developed new mathematical techniques for optimally acquiring, analysing and processing imaging and non-imaging data to improve patient stratification in a variety of clinical settings including breast cancer, ovarian cancer, glioma, cardiovascular disease, COVID-19, and Alzheimer's disease. Created new AI and Deep Learning tools across a range of projects, including the following (1) to aid the diagnosis of Alzheimer's disease, (2) to determine the mechanism of COVID-19 pneumothorax, (3) to triage mammograms to enable more efficient breast cancer screening, (4) to model the impact that increasing treatment capacity and using a quicker, less invasive treatment option would have on the waiting lists of people requiring treatments for severe aortic stenosis, and (5) to implement an early warning system for health hazards such as COVID-19 based on Full Blood Counts. Developed a number of protocols for the reproducible use of AI and Machine Learning in Medical and Healthcare scenarios. The CMIH Hub Partnership Fund has awarded seed funding to 11 projects. These have included (1) producing a NHS decision support tool for menopausal symptoms, (2) helping to create one of the largest datasets in the world for teen and young adult brain tumour MRI images pre- and post-operation to determine if existing adult-based segmentation algorithms perform well on the scans of young adults and children, (3) supporting the Cardiovascular eHospital Research Database (eCamCVD) to answer fundamental questions about the causes and consequences of major health conditions such as heart attacks and strokes. |
Exploitation Route | The results of these projects could be used to aid clinicians and be used in clinical practice. The results could also be used to aid other research studies in the same field. The results of the research and its research and outreach articles can also be used for Maths Education. |
Sectors | Education Healthcare |
URL | http://www.cmih.maths.cam.ac.uk |
Description | The CMIH has been leading on several collaborative projects with the Cambridge hospitals and the NHS more broadly. Examples are: (1) producing a NHS decision support tool for menopausal symptoms, (2) helping to create one of the largest datasets in the world for teen and young adult brain tumour MRI images pre- and post-operation to determine if existing adult-based segmentation algorithms perform well on the scans of young adults and children, (3) supporting the Cardiovascular eHospital Research Database (eCamCVD) to answer fundamental questions about the causes and consequences of major health conditions such as heart attacks and strokes. |
First Year Of Impact | 2023 |
Sector | Healthcare |
Impact Types | Societal Policy & public services |
Description | World Health Organization (WHO): Advisor on Dementia Research Blueprint |
Geographic Reach | Multiple continents/international |
Policy Influence Type | Participation in a guidance/advisory committee |
Description | AI-guided precision diagnosis in dementia |
Amount | £233,726 (GBP) |
Funding ID | INF\R2\202107 |
Organisation | The Royal Society |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 01/2021 |
End | 12/2024 |
Description | AI-guided tools for early prediction of brain and mental health disorders |
Amount | £53,000 (GBP) |
Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
Sector | Public |
Country | United Kingdom |
Start | 01/2023 |
End | 03/2023 |
Description | An artificial intelligence disease monitoring tool for patients with brain tumours |
Amount | £145,000 (GBP) |
Organisation | National Institute for Health Research |
Sector | Public |
Country | United Kingdom |
Start | 09/2021 |
End | 09/2022 |
Description | Brain tumour imaging equipment |
Amount | £43,505 (GBP) |
Organisation | Addenbrooke's Charitable Trust (ACT) |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 03/2023 |
End | 04/2024 |
Description | Building Global AI-guided Digital Solutions for Brain and Mental health |
Amount | £580,760 (GBP) |
Organisation | Alan Turing Institute |
Sector | Academic/University |
Country | United Kingdom |
Start | 09/2021 |
End | 03/2023 |
Description | Building global AI-guided digital solutions for brain and mental health |
Amount | £209,063 (GBP) |
Funding ID | TU/ASG/R-SPEH-120 |
Organisation | Alan Turing Institute |
Sector | Academic/University |
Country | United Kingdom |
Start | 06/2022 |
End | 03/2023 |
Description | Combining Knowledge And Data Driven Approaches to Inverse Imaging Problems |
Amount | £1,240,288 (GBP) |
Funding ID | EP/V029428/1 |
Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
Sector | Public |
Country | United Kingdom |
Start | 05/2021 |
End | 05/2026 |
Description | Early Detection of Neurodegenerative disorders Initiative |
Amount | £396,403 (GBP) |
Organisation | Alzheimer's Research UK |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 05/2021 |
End | 09/2024 |
Description | Explainable artificial intelligence for precision neuro-oncology |
Amount | £185,999 (GBP) |
Organisation | Guarantors of Brain |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 09/2021 |
End | 09/2024 |
Description | Predicting Dementia: Optimising and translating AI to improve prognosis and clinical pathways |
Amount | £764,285 (GBP) |
Funding ID | 221633/Z/20/Z |
Organisation | Wellcome Trust |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 08/2021 |
End | 01/2025 |
Description | Predicting Dementia: Optimising and translating AI to improve prognosis and clinical pathways |
Amount | £764,285 (GBP) |
Funding ID | 221633/Z/20/Z |
Organisation | Wellcome Trust |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 02/2022 |
End | 01/2025 |
Description | Revolutionizing Medical Imaging (ReImagine) through Ubiquitous, Low-Dose, Automated Computed Tomography Diagnostic Systems |
Amount | £302,379 (GBP) |
Funding ID | EP/W004445/1 |
Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
Sector | Public |
Country | United Kingdom |
Start | 09/2021 |
End | 12/2023 |
Description | The Mathematics of Deep Learning |
Amount | £3,357,501 (GBP) |
Funding ID | EP/V026259/1 |
Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
Sector | Public |
Country | United Kingdom |
Start | 01/2022 |
End | 08/2027 |
Description | rapiD and secuRe AI imaging based diaGnosis, stratification, fOllow-up, and preparedness for coronavirus paNdemics (DRAGON) |
Amount | € 11,542,642 (EUR) |
Funding ID | Grant Agreement (GA) No: 101005122 |
Organisation | European Commission |
Department | Innovative Medicines Initiative (IMI) |
Sector | Public |
Country | Belgium |
Start | 09/2020 |
End | 09/2023 |
Title | Eigen-Adjusted Functional Principal Component Analysis |
Description | Functional Principal Component Analysis (FPCA) has become a widely-used dimension reduction tool for functional data analysis. When additional covariates are available, existing FPCA models integrate them either in the mean function or in both the mean function and the covariance function. However, methods of the first kind are not suitable for data that display second-order variation, while those of the second kind are time-consuming and make it difficult to perform subsequent statistical analyses on the dimension-reduced representations. To tackle these issues, we introduce an eigen-adjusted FPCA model that integrates covariates in the covariance function only through its eigenvalues. In particular, different structures on the covariate-specific eigenvalues - corresponding to different practical problems - are discussed to illustrate the model's flexibility as well as utility. To handle functional observations under different sampling schemes, we employ local linear smoothers to estimate the mean function and the pooled covariance function, and a weighted least square approach to estimate the covariate-specific eigenvalues. The convergence rates of the proposed estimators are further investigated under the different sampling schemes. In addition to simulation studies, the proposed model is applied to functional Magnetic Resonance Imaging scans, collected within the Human Connectome Project, for functional connectivity investigation. |
Type Of Material | Database/Collection of data |
Year Produced | 2022 |
Provided To Others? | Yes |
URL | https://tandf.figshare.com/articles/dataset/Eigen-Adjusted_Functional_Principal_Component_Analysis/1... |
Title | Eigen-Adjusted Functional Principal Component Analysis |
Description | Functional Principal Component Analysis (FPCA) has become a widely-used dimension reduction tool for functional data analysis. When additional covariates are available, existing FPCA models integrate them either in the mean function or in both the mean function and the covariance function. However, methods of the first kind are not suitable for data that display second-order variation, while those of the second kind are time-consuming and make it difficult to perform subsequent statistical analyses on the dimension-reduced representations. To tackle these issues, we introduce an eigen-adjusted FPCA model that integrates covariates in the covariance function only through its eigenvalues. In particular, different structures on the covariate-specific eigenvalues - corresponding to different practical problems - are discussed to illustrate the model's flexibility as well as utility. To handle functional observations under different sampling schemes, we employ local linear smoothers to estimate the mean function and the pooled covariance function, and a weighted least square approach to estimate the covariate-specific eigenvalues. The convergence rates of the proposed estimators are further investigated under the different sampling schemes. In addition to simulation studies, the proposed model is applied to functional Magnetic Resonance Imaging scans, collected within the Human Connectome Project, for functional connectivity investigation. |
Type Of Material | Database/Collection of data |
Year Produced | 2022 |
Provided To Others? | Yes |
URL | https://tandf.figshare.com/articles/dataset/Eigen-Adjusted_Functional_Principal_Component_Analysis/1... |
Title | Research Data Supporting "Modelling prognostic trajectories of cognitive decline due to Alzheimer's disease" |
Description | |
Type Of Material | Database/Collection of data |
Year Produced | 2020 |
Provided To Others? | Yes |
URL | https://www.repository.cam.ac.uk/handle/1810/301740 |
Title | Research Data Supporting: Unsupervised multimodal modeling of cognitive health trajectories for early dementia prediction (under revision) |
Description | Data Supporting: Unsupervised multimodal modeling of cognitive health trajectories for early dementia prediction (under revision) |
Type Of Material | Computer model/algorithm |
Year Produced | 2023 |
Provided To Others? | No |
Impact | N/A |
Description | Integrative Cancer Medicine Collaboration |
Organisation | Cancer Research UK Cambridge Institute |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Development of all-in-one cancer imaging pipeline: from raw tomographic measurements to personalised cancer diagnosis and treatment prediction. |
Collaborator Contribution | Integrative cancer medicine idea; provision of problem and objective; provision of clinical data and expertise. Collaborators: Prof. Evis Sala (Radiology, Cambridge), Prof. Ozan Öktem (KTH, Stockholm), Dr Mireia Crispin-Ortuzar (CRUK CI), Dr Ramona Woitek (Radiology, Cambridge) |
Impact | Wellcome Trust Application for All-in-one cancer imaging project under the Digital Innovator Award call. Outcome to be known in April 2019. |
Start Year | 2018 |
Description | Integrative Cancer Medicine Collaboration |
Organisation | Royal Institute of Technology |
Country | Sweden |
Sector | Academic/University |
PI Contribution | Development of all-in-one cancer imaging pipeline: from raw tomographic measurements to personalised cancer diagnosis and treatment prediction. |
Collaborator Contribution | Integrative cancer medicine idea; provision of problem and objective; provision of clinical data and expertise. Collaborators: Prof. Evis Sala (Radiology, Cambridge), Prof. Ozan Öktem (KTH, Stockholm), Dr Mireia Crispin-Ortuzar (CRUK CI), Dr Ramona Woitek (Radiology, Cambridge) |
Impact | Wellcome Trust Application for All-in-one cancer imaging project under the Digital Innovator Award call. Outcome to be known in April 2019. |
Start Year | 2018 |
Description | KPMG-Cambridge Future of Work Mental Wellbeing Pillar |
Organisation | KPMG International Cooperative |
Department | KPMG Leeds |
Country | United Kingdom |
Sector | Private |
PI Contribution | This partnership will build on the work of Prof. Aston and the CMIH. The aim is to understand and enhance KPMG data collection and collation methods/strategies to enable building and benefits from resilient data systems. This will be through examining causal inference testing, identifying mechanisms that underlie directional associations ('causal' links), and noting mechanisms as key to effective interventions/strategies. |
Collaborator Contribution | The collaborators have provided new datasets, the analyses of which will build upon the work of the CMIH. |
Impact | None yet. |
Start Year | 2023 |
Title | NDx : Digital NeuroDetection |
Description | We are working towards ISO13845 certification of an AI-guided tool for early dementia detection |
Type | Diagnostic Tool - Imaging |
Current Stage Of Development | Refinement. Clinical |
Year Development Stage Completed | 2024 |
Development Status | Under active development/distribution |
Impact | Our AI-guided dementia detection tool has strong potential to a) enhance clinical trial efficacy, b) improve diagnosis and predictability of patient outcome, c) inform policy and trust to AI and digital technology for personalised healthcare. |
Description | 21st ECMI Conference on Industrial and Applied Mathematics (ECMI 2021) |
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 series of European Consortium for Mathematics in Industry (ECMI) conferences are devoted to enforcing the interaction between academy and industry, leading to innovations in both fields. These events have attracted leading experts from business, science, and academia, and have promoted the application of novel mathematical technologies to industry. We hope that ECMI 2021 will further enhance multidisciplinary research and development both in academia and industry, leading to the formulation of challenging real-life problems, where mathematics may provide significant new insights and at the same time may be inspired by those interactions. |
Year(s) Of Engagement Activity | 2021 |
URL | https://ecmiindmath.org/2020/11/22/21st-ecmi-conference-on-industrial-and-applied-mathematics/ |
Description | 91st GAMM Annual 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 | The Annual Meeting of the International Association of Applied Mathematics and Mechanics, the GAMM 2020@21. |
Year(s) Of Engagement Activity | 2021 |
URL | https://jahrestagung.gamm-ev.de/jahr2020-2021/annual-meeting/ |
Description | AIM: Artificial Intelligence and Mathematics - Fundamentals and Beyond |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Talk given titled "AI and Mathematical Imaging - the what, why and how". The talk included applications to cancer research. |
Year(s) Of Engagement Activity | 2022 |
URL | https://www.youtube.com/watch?v=Xz8oqUSmMZ8 |
Description | ART-AI and University of Bath AI group seminar |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Local |
Primary Audience | Postgraduate students |
Results and Impact | Talk given titled "From geometric PDEs and variational modelling to deep learning for images" as part of the CDT seminar series at the University of Bath. This talk included applications to cancer research and generated discussion afterwards. |
Year(s) Of Engagement Activity | 2022 |
URL | https://cdt-art-ai.ac.uk/news/events/seminar-with-carola-bibiane-schonlieb-2/ |
Description | Alan Turing Institute and Joint Biosecurity Center |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Policymakers/politicians |
Results and Impact | Discussing issues with the current machine learning literature for COVID-19 and giving recommedations. |
Year(s) Of Engagement Activity | 2021 |
URL | https://www.turing.ac.uk/research/research-projects/new-partnership-between-alan-turing-institute-an... |
Description | AstraZeneca Data Science Jamboree Plenary |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | A high level introduction to the application of AI to COVID-19 imaging and clinical data and developments in the AIX-COVNET / BloodCounts! consortia. |
Year(s) Of Engagement Activity | 2021 |
Description | BBC interview with Pallab Ghosh |
Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Media (as a channel to the public) |
Results and Impact | BBC interview with Pallab Ghosh on AI-tools for early dementia detection, July 2021. https://www.bbc.co.uk/news/health-57934589 https://www.cam.ac.uk/stories/AIdementia https://www.turing.ac.uk/news/ai-could-detect-dementia-after-single-brain-scan |
Year(s) Of Engagement Activity | 2021 |
URL | https://www.bbc.co.uk/news/health-57934589 |
Description | BIRS Women in Inverse Problems |
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 objective of this workshop is to bring together women in the broad and vibrant field of Inverse Problems. Both established as well as early career researchers will come together to discuss their recent research achievements. This workshop will facilitate professional networking and create mentoring opportunities for women researchers. The ultimate goal is to help broaden female participation in research careers in particular in the field of Inverse Problems, as well as to create new research collaborations. |
Year(s) Of Engagement Activity | 2021 |
URL | https://www.birs.ca/events/2021/5-day-workshops/21w5035 |
Description | Berkshire Mental Health Trust |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Local |
Primary Audience | Professional Practitioners |
Results and Impact | Talk given to clinical mental health practictioners which resulted in questions and discussion. |
Year(s) Of Engagement Activity | 2022 |
Description | CANADIAN APPLIED AND INDUSTRIAL MATHEMATICS SOCIETY 2021 Annual 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 | Each year CAIMS/SCMAI hosts an annual meeting for all members. This meeting is one of the central activities of CAIMS and has been held for over 30 years. The annual meeting covers all areas of applied and industrial mathematics with high profile speakers invited to give keynote addresses on currently active thematic areas. |
Year(s) Of Engagement Activity | 2021 |
URL | https://uwaterloo.ca/canadian-applied-industrial-math-society-annual-meeting-2021/ |
Description | CIME Summer School |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Talk titled: 'Mathematical imaging: from PDEs and variational models to deep learning' |
Year(s) Of Engagement Activity | 2023 |
URL | https://sites.google.com/unifi.it/cime/c-i-m-e-courses/c-i-m-e-courses-2023/machine-learning-from-da... |
Description | CMIH Twitter Feed |
Form Of Engagement Activity | Engagement focused website, blog or social media channel |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Other audiences |
Results and Impact | A twitter account has been maintained, which reports on the work of the centre, advertises future events, showcases news items, and creates a social media presence for the centre. Posts seem to provide further sign-ups to the website/newsletter (as well as vice versa) and produce more followers and retweets. Currently (March 2021) there are 428 followers, from a variety of countries |
Year(s) Of Engagement Activity | 2018,2019,2020,2021,2022 |
URL | https://twitter.com/CambridgeCMIH |
Description | CMIH website |
Form Of Engagement Activity | Engagement focused website, blog or social media channel |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Public/other audiences |
Results and Impact | The CMIH website is an online presence of the centre and was continually updated until March 2021. The site is now archived and accessible via a new group website which will be going live very soon. It showcases research publications, current and future projects, news items on activities from within - and beyond - the centre and provides information on the centre to interested parties/individuals. To date, there have been over 17300 visitors to the website. |
Year(s) Of Engagement Activity | 2018,2019,2020,2021,2022 |
URL | https://archive.cmih.maths.cam.ac.uk/ |
Description | Cambridge Conversations: The Dementia Journey - New advances, insights and possibilities, July, 2022 |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Public/other audiences |
Results and Impact | invited public engagement talk |
Year(s) Of Engagement Activity | 2022 |
Description | Cambridge Imaging Festival |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Professional Practitioners |
Results and Impact | Talk given titled "Imaging: Where maths meets medicine" to a wide range of academics, which led to requests for more information and interesting discussions. |
Year(s) Of Engagement Activity | 2022 |
URL | https://www.wbic.cam.ac.uk/events/cambridge-imaging-festival-2022 |
Description | Cambridge Imaging Festival 2021 |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Professional Practitioners |
Results and Impact | Discussions about AI for COVID-19 and our tool for modelling outcomes [note that I spoke in place of Carola]. |
Year(s) Of Engagement Activity | 2021 |
URL | https://www.mrc-cbu.cam.ac.uk/wp-content/uploads/2021/05/Programme-Cambridge-Imaging-Festival-2021.p... |
Description | Cambridge Mathematics of Information in Healthcare Hub (CMIH) Academic Engagement Event |
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 Academic Engagement Event was held in July 2022. There were approximately 65 attendees who attended in-person and/or online. This was a whole day event which consisted of 7 talks by renowned speakers in their field and 11 elevator pitches from early career researchers and PhD students. These talks generated a lot of discussion between the attendees with sharing of ideas and potential for future collaborations. |
Year(s) Of Engagement Activity | 2022 |
URL | https://gateway.newton.ac.uk/event/tgm126 |
Description | Cambridge Mathematics of Information in Healthcare Hub (CMIH) Industry Round Table Afternoon |
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 | This was an invitation only engagement event of the CMIH Hub and featured presentations from CMIH researchers followed by facilitated discussion with CMIH industry partners and explored opportunities for new collaborations and engagement. It included talks that highlighted open challenges and successes from CMIH Hub researchers and presented other potential collaborative opportunities, as well as projects being developed elsewhere related to healthcare data analytics. Talks focused on the key theme of the CMIH Hub, which is the development of robust and clinical applicable algorithms for analysing healthcare data in an integrated fashion. |
Year(s) Of Engagement Activity | 2022 |
URL | https://gateway.newton.ac.uk/event/tgm118 |
Description | Cantab Capital Institute fro the Mathematics of Information - Connecting with Industry |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Industry/Business |
Results and Impact | Talk titled 'Data for Healthcare, where does Maths of Information come in?' given as part of the CCIMI Industry Day (Nov 2022) |
Year(s) Of Engagement Activity | 2022 |
Description | Centre for Science and Policy, Univ of Cambridge, Horn Fellowship Programme |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Policymakers/politicians |
Results and Impact | invited talk for policy workshop |
Year(s) Of Engagement Activity | 2022 |
Description | Chair and Speaker AI for Mental Health |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | AI for Mental Health, AI UK, London UK, Chair and speaker |
Year(s) Of Engagement Activity | 2021 |
Description | Chemnitz Symposium on Inverse Problems |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Talk titled: 'Machine learned regularisation for solving inverse problems - the do's and don'ts' |
Year(s) Of Engagement Activity | 2023 |
URL | https://www.mathematik.uni-wuerzburg.de/csip/ |
Description | Colloquium talk at Tsinghua University |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Talk given titled "Mathematical imaging--From geometric PDEs and variational modelling to deep learning for images". The talk included appliations to cancer research. |
Year(s) Of Engagement Activity | 2022 |
URL | https://ymsc.tsinghua.edu.cn/en/info/1056/2421.htm |
Description | Computational Mathematics and Machine Learning |
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 aim of this workshop is to formulate a plan for future developments within the area of computational science and engineering (CSE) making use of machine learning techniques. We will discuss the impact that machine learning has already made or will make on computational mathematics, and how the ideas from computational mathematics, particularly numerical analysis, can be used to help understanding and better formulating machine learning models. In the annex, the state of the art is provided in more detail. The question is: which research directions are most promising? What should we concentrate on? How can we combine physics-based and data-based techniques? Can we formulate joint projects? Or maybe a joint organisation for the discussion and dissemination of new developments? In this workshop, we will address the following two very important questions: (1) How machine learning has already impacted and will further impact computational mathematics, scienti?c computing and computational science? (2) How computational mathematics, particularly numerical analysis, can impact machine learning? To accomplish the aforementioned aim, in this workshop, we review what has been learned on these two issues. We will discuss some of the most important progress that has been made on the foregoing two issues, and where new developments should take place. This workshop will be considered a success if we have been able to put things into a perspective that will help to integrate machine learning with computational mathematics, and produced (at the end of the workshop) a sound plan for future research directions in several of the areas mentioned in Section 4. We will identify the most promising research directions, networking activities, as well as building of new collaborations between participants. |
Year(s) Of Engagement Activity | 2021 |
URL | https://www.lorentzcenter.nl/computational-mathematics-and-machine-learning.html |
Description | Conference for Mathematical Life Sciences |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Talk titled 'From variational modelling to deep learning for biomedical imaging' |
Year(s) Of Engagement Activity | 2023 |
URL | https://www.uni-bonn.de/en/research-and-teaching/research-profile/excellence-strategy/conference-mat... |
Description | Dagstuhl Seminar: Inverse Biophysical Modeling and Machine Learning in Personalized Oncology |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Symposium and panel discussion |
Year(s) Of Engagement Activity | 2023 |
URL | https://www.dagstuhl.de/en/seminars/seminar-calendar/seminar-details/23022 |
Description | Deep Learning and Inverse Problems (NeurIPS Workshop) |
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 | This virtual workshop aims at bringing together theoreticians and practitioners in order to chart out recent advances and discuss new directions in deep learning-based approaches for solving inverse problems in the imaging sciences and beyond. |
Year(s) Of Engagement Activity | 2021 |
URL | https://deep-inverse.org/index.html |
Description | EPFL Seminar Series in Imaging |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Talk given titled "Inverse Problems in Imaging: From Differential Equations to Deep Learning". Mathematical modelling is useful in the presence of prior information about the imaging data and relevant features of interest, for narrowing down the search space, for highly generalizable methods with solutions that come with theoretical solution guarantees. Machine learning on the other hand is a powerful tool for customising image processing methods to individual data sets. Their combination is the topic of this talk, furnished with examples for image classification under minimal supervision with an application to chest x-rays, tomographic image reconstruction with learned priors and fast spatio-temporal MRI. |
Year(s) Of Engagement Activity | 2022 |
URL | https://memento.epfl.ch/event/prof-carola-bibiane-schonlieb-inverse-problems-in-/ |
Description | ERS presentation |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Presentation discussing abstract for IPF tracking using airway volumes. |
Year(s) Of Engagement Activity | 2021 |
Description | Eighth International Conference on Scale Space and Variational Methods in Computer Vision (SSVM) |
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 | SSVM is a biannual meeting within the area of Computer Vision and Image Analysis. SSVM focuses especially on multiscale analysis of image content, partial differential equations, geometric and level-set methods, variational methods, and optimization. |
Year(s) Of Engagement Activity | 2021 |
URL | https://ssvm2021.sciencesconf.org/ |
Description | European Association of Neuro-Oncology |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | A talk at the annual conference of the European Association of Neuro-Oncology |
Year(s) Of Engagement Activity | 2023 |
URL | https://www.eano.eu/eano2023/programme/ |
Description | European Conference on Numerical Mathematics and Advanced Applications (ENUMATH) |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Talk titled: 'Mathematical Imaging: From geometric PDEs and variational modelling to deep learning for images' |
Year(s) Of Engagement Activity | 2023 |
URL | https://enumath2023.com/ |
Description | European Molecular Imaging Meeting - Plenary Lecture |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Plenary Lecture titled "From Variational Modelling to Deep Learning for Biomedical Imaging" given to a wide audience. |
Year(s) Of Engagement Activity | 2022 |
URL | https://e-smi.eu/meetings/emim/past-meetings/2022-2/ |
Description | Fisher in the 21st Century |
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 | Talk given titled "Fisher in the Age of Data Science". |
Year(s) Of Engagement Activity | 2022 |
URL | https://www.cai.cam.ac.uk/discover/fisher-21st-century |
Description | Foundations of Computational Mathematics conference |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Talk titled 'Machine learned regularisation for solving inverse problems - the do's and don'ts' |
Year(s) Of Engagement Activity | 2023 |
URL | https://focm2023.pages.math.cnrs.fr/ |
Description | ICIAM 2023 |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Presented her 'perspectives on the state of women in science in Europe and how some of the women in Mathematics associations in Europe are helping to support and promote women'. |
Year(s) Of Engagement Activity | 2023 |
URL | https://iciam.org/news/23/10/13/session-iciam-2023-gender-equality-mathematics |
Description | ICIAM 2023 (#2) |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Talk titled: 'Recent advances in data-driven methods for inverse: Machine learned regularisation for solving inverse problems - the do's and don'ts' |
Year(s) Of Engagement Activity | 2023 |
URL | https://iciam.org/ |
Description | IEEE International Symposium on Biomedical Imaging |
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 IEEE International Symposium on Biomedical Imaging (ISBI) is a scientific conference dedicated to mathematical, algorithmic, and computational aspects of biological and biomedical imaging, across all scales of observation. It fosters knowledge transfer among different imaging communities and contributes to an integrative approach to biomedical imaging. |
Year(s) Of Engagement Activity | 2021 |
URL | https://biomedicalimaging.org/2021/ |
Description | INTERACT 2021 "Sense, Feel, Design" |
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 theme of INTERACT 2021 "Sense, Feel, Design" highlights the new challenges of interaction design. Technology is today more and more widespread, pervasive and blended in the world we live in. On one side, devices that sense humans' activities have the potential to provide an enriched interaction. On the other side, the user experience can be further enhanced by exploiting multisensorial technologies. Not only the traditional human senses of vision and hearing, but also senses of touch, smell, and taste, as well as emotions are to be taken into account when designing for future interactions. INTERACT 2021 represents the right venue to debate such new challenges. Another hot topic of this edition is Human-AI Interaction, focusing on the design of human-centered intelligent systems. |
Year(s) Of Engagement Activity | 2021 |
URL | https://www.interact2021.org/ |
Description | IOP/IPEM 2021 |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | Presentation describing the work of AIX-COVNET and BloodCounts! |
Year(s) Of Engagement Activity | 2021 |
URL | https://www.youtube.com/watch?v=sm8i1SrV97w |
Description | Invited speaker AIUK meeting |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | AIUK meeting: AI for Mental Health |
Year(s) Of Engagement Activity | 2021 |
Description | Invited speaker ARUK conference |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | Invited speaker ARUK conference: EDoN Initiative |
Year(s) Of Engagement Activity | 2021 |
Description | Invited speaker AstraZeneca |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | Invited speaker at AstraZeneca Data Science Event |
Year(s) Of Engagement Activity | 2021 |
Description | Invited speaker HDR UK Scientific conference |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | HDR UK Scientific conference: AI for Neurodegenerative Diseases |
Year(s) Of Engagement Activity | 2021 |
Description | Invited speaker Royal Society |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Professional Practitioners |
Results and Impact | Invited speaker at Royal Society, Meeting of Minds |
Year(s) Of Engagement Activity | 2021 |
Description | Invited speaker World Alzheimer Report 2021 |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Invited speaker Alzheimer's disease International: Innovations in diagnosis and diagnostics - World Alzheimer Report 2021, October 2021 |
Year(s) Of Engagement Activity | 2021 |
Description | Launch Event of the Cambridge Mathematics of Information in Healthcare (CMIH) |
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 | This was the first external event of the CMIH Hub and aimed to bring together those working in mathematical healthcare data analytics across the UK, including academic, clinical, and industrial users with mathematicians working in similar areas. The event included talks that highlighted open challenges and successes from CMIH Hub researchers and presented other potential collaborative opportunities, as well as projects being developed elsewhere related to healthcare data analytics. Talks focused on the key theme of the CMIH Hub, which is the development of robust and clinical applicable algorithms for analysing healthcare data in an integrated fashion. In addition, there were introductory talks from partner EPSRC Hubs for Mathematical Sciences in Healthcare. This event brought together researchers from mathematics, statistics, computer science and medicine, with clinicians and relevant industrial stakeholders. |
Year(s) Of Engagement Activity | 2021 |
URL | https://gateway.newton.ac.uk/event/tgmw93 |
Description | Mathematics of deep learning |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Aiming to derive a mathematical foundation of deep learning, this programme addresses theoretical questions in two realms: (1) Theoretical foundations of deep learning independent of a particular application. (2) Theoretical analysis of the potential and the limitations of deep learning for mathematical methodologies, in particular, for inverse problems and partial differential equations. The main goal of this programme is to achieve substantial progress in developing a theoretical foundation of deep learning. For this, the programme will for the first time gather the top experts from various areas of mathematics and of the theory of machine learning, including computer scientists, physicists, and statisticians in one place, initiating collaborations across intra- and interdisciplinary boundaries and thereby generating unprecedented research dynamics. |
Year(s) Of Engagement Activity | 2021 |
URL | https://www.newton.ac.uk/event/mdl/ |
Description | Mathematisches Forschungsinstitut Oberwolfach - Geometric Numerical Integration |
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 topics of the workshop included interactions between geometric numerical integration and numerical partial differential equations; geometric aspects of stochastic differential equations; interaction with optimisation and machine learning; new applications of geometric integration in physics; problems of discrete geometry, integrability, and algebraic aspects. |
Year(s) Of Engagement Activity | 2021 |
URL | https://publications.mfo.de/handle/mfo/3860 |
Description | Mathematisches Forschungsinstitut Oberwolfach - Mini-Workshop: Deep Learning and Inverse Problems |
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 | Machine learning and in particular deep learning offer several data-driven methods to amend the typical shortcomings of purely analytical approaches. The mathematical research on these combined models is presently exploding on the experimental side but still lacking on the theoretical point of view. This workshop addresses the challenge of developing a solid mathematical theory for analyzing deep neural networks for inverse problems. |
Year(s) Of Engagement Activity | 2021 |
URL | https://publications.mfo.de/handle/mfo/3633 |
Description | Maths For Deep Learning Summer School |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Talk titled: 'Data-driven approaches to inverse problems' |
Year(s) Of Engagement Activity | 2023 |
URL | https://maths4dl.ac.uk/newsevents/solving-inverse-problems-with-deep-learning-autumn-school |
Description | Medical Image Understanding and Analysis 2022 |
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 CMIH Hub sponsored the Medical Image Understanding and Analysis (MIUA) 2022 event. This was was a UK-based international conference for the communication of image processing and analysis research and its application to medical imaging and biomedicine. MIUA 2022 welcomed all researchers in medical imaging including mathematicians, computer scientists, bioinformaticians, clinicians, engineers and bioscientists. MIUA 2022 was the principal UK forum for communicating research progress within the community interested in image analysis applied to medicine and related biological science. The meeting was designed for the dissemination and discussion of research in medical image understanding and analysis, and aimed to encourage the growth and raise the profile of this multi-disciplinary field by bringing together the various communities. |
Year(s) Of Engagement Activity | 2022 |
URL | https://gateway.newton.ac.uk/event/tgm113 |
Description | Medicine for members: Improving the diagnosis of dementia in memory clinics - can machine learning help? |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Public/other audiences |
Results and Impact | Part of Cambridge University Hospitals annual programme of engagement with membership series of member lectures on a wide range of topical subjects. They are for non-experts - are free to attend - and are popular with members, the public, staff, medical professionals and local students. |
Year(s) Of Engagement Activity | 2023 |
URL | https://www.cuh.nhs.uk/about-us/foundation-trust-membership/medicine-for-members-lectures/ |
Description | NHS Innovation and Life Sciences Commission: Dementia Programme Population Health and Engagement Inquiry Session: Revolutionising dementia care through innovation |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Policymakers/politicians |
Results and Impact | Panelist for the NHS Innovation and Life Sciences Commission: Dementia Programme Population Health and Engagement Inquiry Session: Revolutionising dementia care through innovation |
Year(s) Of Engagement Activity | 2023 |
URL | https://lnkd.in/e3fiAJhf |
Description | NeurIPS workshop |
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 | Discussions at a workshop highlighting issues with AI in imaging and for clinical data. |
Year(s) Of Engagement Activity | 2021 |
URL | https://physical-reasoning.github.io/industry/ |
Description | Nokia Bell Labs |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Local |
Primary Audience | Industry/Business |
Results and Impact | Invited to give a talk to Nokia Bell Labs - Talk Title: AI for better brain and mental health |
Year(s) Of Engagement Activity | 2023 |
Description | Oral presentation DPUK London 2023 |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | Talk on 'Translating AI-guided tools for early dementia prediction to clinical practice' |
Year(s) Of Engagement Activity | 2023 |
URL | https://www.dementiasplatform.uk/research-hub/translation-2023/early-career-researchers-workshop-and... |
Description | Oral presentation on Clustering Trajectories at Trustworthy AI for Medical & Health Research Workshop, Cavendish Laboratory, Cambridge, UK |
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 | Talk on 'Clustering Trajectories of Neurodegenerative Disease' at Trustworthy AI for Medical & Health Research Workshop, Cavendish Laboratory, Cambridge, UK |
Year(s) Of Engagement Activity | 2022 |
URL | https://www.c2d3.cam.ac.uk/events/trustworthy-ai-medical-and-health-research-workshop |
Description | Participation in Clinical AI Panel at Alan Turing Institute |
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 | Invited to participate as a member of the panel for Clinical AI, Alan Turing Institute. Talk on: AI for better brain and mental health |
Year(s) Of Engagement Activity | 2023 |
Description | Poster presentation at AAIC San Diego |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Poster presentation: 1. Venton J, Burkhart M, Farier L, Hall M, Lee L, Marinaro F, Partarrieu I, Smith N, Thomas S, Kourtzi Z, 2022. Unsupervised clustering to inform diagnosis at early stages of dementia, AAIC, San Diego. |
Year(s) Of Engagement Activity | 2022 |
Description | Presentation at Alzheimer's Association International Conference |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Presentation 'Predicting future regional tau accumulation in preclinical Alzheimer's disease.' Joseph Giorgio, William Jagust, Suzanne Baker, Susan Landau, Peter Tino and Zoe Kourtzi. |
Year(s) Of Engagement Activity | 2020 |
Description | Royal College of Psychiatrists (UK) Digital Special Interest Group: Podcast on artificial intelligence and precision mental health |
Form Of Engagement Activity | A broadcast e.g. TV/radio/film/podcast (other than news/press) |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Public/other audiences |
Results and Impact | The Digital Psychiatry Special Interest Group (DPSIG) is a group for psychiatrists interested in technology. The group work enhances evidence-based leadership within the field of mental health and technology. DPSIG focuses on four areas: technology in clinical practice, research insights, educational opportunities and community building. |
Year(s) Of Engagement Activity | 2023 |
Description | SIAM Conference on Mathematics of Data Science (MDS22) |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Talk given titled "Learning with Minimal Supervision in Medical Imaging - from Classifying Chest X-rays to Fast MRI". This talk generated discussion on semi-supervised classification and un- and semi-supervised tomographic image reconstruction for low-dose CT and fast MRI. |
Year(s) Of Engagement Activity | 2022 |
URL | https://www.siam.org/conferences/cm/conference/mds22 |
Description | Seminar given at the University of Warwick |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Other audiences |
Results and Impact | I presented my work on Flexible Krylov methods for inverse problems in the (virtual) applied maths seminar at Warwick. |
Year(s) Of Engagement Activity | 2021 |
Description | Symposium on Sparsity and Singular Structures 2024 |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Talk titled: 'Machine learned regularisation for solving inverse problems - the do's and don'ts' |
Year(s) Of Engagement Activity | 2024 |
URL | https://sfb1481.rwth-aachen.de/symposium24 |
Description | Talk on Modelling prognostic cognitive decline at Trustworthy AI for Medical & Health Research Workshop, Cavendish Laboratory, Cambridge, UK |
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 | Talk on 'Modelling prognostic cognitive declines due to Alzheimer's disease' at Trustworthy AI for Medical & Health Research Workshop, Cavendish Laboratory, Cambridge, UK |
Year(s) Of Engagement Activity | 2022 |
URL | https://www.c2d3.cam.ac.uk/events/trustworthy-ai-medical-and-health-research-workshop |
Description | The Public Perception of Science - Virtual Study Group |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | Oral presentation given about the challenge of how trustworthy the communication of evidence was during the pandemic, and did trustworthiness have any impact? |
Year(s) Of Engagement Activity | 2022 |
Description | The Turing podcast: Diagnosing Dementia with AI |
Form Of Engagement Activity | A broadcast e.g. TV/radio/film/podcast (other than news/press) |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Public/other audiences |
Results and Impact | Turing podcast enabling discussion around the potential and current AI tools being used around treating and diagnosing illnesses such as dementia, |
Year(s) Of Engagement Activity | 2023 |
URL | https://turing.podbean.com/e/diagnosing-dementia-with-ai/ |
Description | Thomas Willis Day, Oxford, Univ, Nuffield Department of Clinical Neurosciences (Keynote Speaker: AI & Neuroscience for better health) |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Postgraduate students |
Results and Impact | invited talk |
Year(s) Of Engagement Activity | 2022 |
Description | Turing-Roche Knowledge Share Series: AI in Precision Medicine |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Industry/Business |
Results and Impact | invited presentation |
Year(s) Of Engagement Activity | 2022 |
Description | Westminster Insight: Real-World Applications of Artificial Intelligence |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Media (as a channel to the public) |
Results and Impact | a discussion of AI for real-world impact involving different topics targeting the general public |
Year(s) Of Engagement Activity | 2023 |
URL | https://www.westminsterinsight.com/conferences-and-events/artificial-intelligence-and-machine-learni... |
Description | Workshop of Microlocal Analysis & PDEs - UCL |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | Pulic lecture given titled "Mathematical imaging: From geometric PDEs and variational modelling to deep learning for images". The talk included applications to cancer research. |
Year(s) Of Engagement Activity | 2022 |
URL | https://mcapoferri.com/microlocal2022/?page_id=11 |
Description | World dementia council roundtable |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | World demential council: roundtable discussion on technology and dementia, London, UK, March 2021 |
Year(s) Of Engagement Activity | 2021 |
Description | Woudschoten Conference 2021 |
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 Woudschoten conference has a long and rich history, dating back to the first edition in 1976, and it has featured many of the great names in numerical analysis and scientific computing. Since its establishment in the early days of `approximation and discretization' - the two themes of the first edition of the conference -- the Woudschoten conference has provided an introduction to and overview of groundbreaking developments in scientific computing and numerical analysis. The conference is attended by essentially all Dutch and Flemish researchers in numerical analysis and scientific computing, from PhD students to full professors, and including industrial researchers. By virtue of its unique format and its informal setting, the conference does not only provide insight and inspiration to the Dutch-Flemish numerical-mathematics community, but it also plays a central role in retaining coherence in the community. |
Year(s) Of Engagement Activity | 2021 |
URL | https://wsc.project.cwi.nl/woudschoten-conferences/2021-conference |