Projects
Active Projects
| Title | Funder | Year | £ | Role |
|---|---|---|---|---|
| QMIA: Quantifying and Mitigating Bias affecting and induced by AI in Medicine | Medical Research Council | 2023-2026 | £649,218 | PI |
| Using rare disease phenotype models to identify people at risk of COVID-19 adverse outcomes | NIHR, Health Data Research UK | 2023 | £38,065.54 | PI |
| Towards self-updatable knowledge base for evidence based medicine - join force with iris.ai (Norway) and beyond | UCL Global Engagement Funding | 2023 | £5,000 | PI |
| UCL-NMU-SEU International Collaboration On Artificial Intelligence In Medicine: Tackling Challenges Of Low Generalisability And Health Inequality | British Council | 2022 - 2023 | £29,400 | PI |
| Building a database of the immunohistochemical profiles of tumours from histopathology reports at scale using large language models and machine learning | Rosetrees Trust | 2023 - 2025 | £59,907 | CoI |
| ExplainHealth: reducing inequalities in health literacy | Moorfields Eye Charity | 2023 - 2024 | £142,306 | CoI |
| Artificial Intelligence and Multimorbidity: Clustering in Individuals, Space and Clinical Context | NIHR | 2021-2024 | £3.9m | CoI |
| The Advanced Care Research Centre Programme | Legal & General/University of Edinburgh | 2020-2026 | £20m | CoI |
| Improving the quality and value of care for people with poor prognosis cancers - a national, mixed methods study across Scotland | The Health Foundation | 2021-2024 | £399,224 | CoI |
| National Text Analytics Project | MRC/HDR UK | 2019-2023 | £650,000 | CoI |
Awards
| Minghong Wang | “COOLNeo-an automated COOLing therapy for NEOnates” | The iTPA Translational Innovation Competition | £9,960.00 | 13/01/2022 |
| Huayu Zhang | “Towards data-driven fine management of COVID-19 hospitalization risk for rare-disease patients” | The iTPA Translational Innovation Competition | £1,000 | 11/08/2020 |
| Hang Dong | “Ontology-enhanced rare disease detection from free-text clinical notes for patient shielding” | The iTPA Translational Innovation Competition | £1,000 | 21/09/2020 |
| Víctor Suárez Paniagua | “Combine deep learning and active learning to improve rare disease named entity recognition for COVID-19 shielding” | The iTPA Translational Innovation Competition | £1,000 | 21/09/2020 |
Finalised Projects
| Title | Funder | Year | £ | Role |
|---|---|---|---|---|
| Intelligent automated triage in Dermatology and beyond | Data-Driven Innovation | 2021 | £19,301.63 | CoI AI Lead |
| Towards an AI-driven Health Informatics Platform for supporting clinical decision making in Scotland – a pilot study in NHS Lothian | Wellcome Trust | 2020-2021 | £29,200 | PI |
| Graph-Based Data Federation for Healthcare Data Science | MRC/HDR UK | 2019-2020 | £260,057 | CoI Academic co-lead |
| Deriving an actionable patient phenome from healthcare data Transferred to UCL, Extended to 2022 |
MRC/HDR UK | 2018-2022 | £315,181 | PI |
| Iris.AI - The AI Chemist | Iris.AI, Research Council of Norway | 2021 - 2022 | £39,000 | PI |