1 | Deep Learning for the automated prediction of diabetic retinopathy progression | Christos Bergeles | Timothy Jackson |
2 | Developing a novel approach for combining OMICs and clinical data for patient stratification in cancer | Mieke Van Hemelrijck | Shahram Kordasti |
3 | An investigation to explore the morbidity and mortality of prescribed opioids in the UK | Kim Wolff | Caroline Copeland |
4 | The immune mechanisms leading to long-COVID: a clinical and cellular study | Carmine M. Pariante | Frances Williams, Alessandra Borsini |
5 | Genetic and environmental epidemiology of ageing-related muscle weakening | Simon M Hughes | Nick Dand |
6 | Do lower blood pressure cut-offs in pregnancy identify women at greater risk of adverse maternal and perinatal outcomes? | Laura A. Magee | Peter von Dadelszen |
7 | Blood pressure (BP) variability and pregnancy outcomes | Laura A. Magee | Peter von Dadelszen |
8 | Disentangled knowledge representations for patient stratification in heart failure | Andrew King | Reza Razavi, Bram Ruijsink, Esther Puyol Anton |
9 | Women's Heart and Pregnancy Outcomes: Modified novel prediction tools | Salma Ayis | N Kametas |
10 | Applying machine learning techniques to multi-dimensional data to understand the role of mitochondria in complex disease | Alan Hodgkinson | |
11 | A computational approach to study inherited cancer-using genetics to guide predicted outcomes | Rebecca Oakey | Cynthia Andoniadou, Louise Izatt |
12 | Social factors as predictors and outcomes of psychological treatment for anxiety and depression: a collaboration between KCL and Ieso Digital Health | Thalia Eley | Ewan Carr |
13 | AI-based image analyses to detect metastatic deposits in lymph node of head and neck patients | Anita Grigoriadis | Selvam Thavaraj |
14 | Narcotovigilance: Investigation of narcotic drug-drug/disease interactions | Caroline Copeland | Oana Cocarascu |
15 | Putting more Data Science in Implementation Science : Novel application of causal analysis methods to implementation science hybrid effectiveness-implementation clinical trials | Kimberley Goldsmith | Nick Sevdalis, Jane Sandall |
16 | Integrating electronic health records and genetics to dissect depression heterogeneity and treatment response | Cathryn Lewis | Jonathan Coleman |
17 | Developing and assessing novel remote monitoring technology for adults with attention deficit hyperactivity disorder | Jonna Kuntsi | Richard Dobson |
18 | A life course approach to characterize the immune and inflammatory modulation of the population cancer risk | Shahram Kordasti | Aida Santaolalla, Sophia N Karagiannis |
19 | Knowledge graphs for mining the Immune Mediated Inflammatory Disease (IMID) spectrum | Mansoor Saqi | Angus Roberts |
20 | Investigating the presence of shared genetic and pathophysiological mechanisms between Major Depressive Disorder and Alzheimer’s Disease | Petroula Proitsi | Cathryn Lewis |
21 | Comprehensive genomic analysis and biomarker analysis of primary and recurrent head and neck squamous cell carcinoma from patients treated with immunotherapy | Anthony Kong | |
22 | Artificial Intelligence for the clinical and therapeutic stratification of psoriasis | Magnus Lynch | Catherine Smith, Satveer Mahil |
23 | New machine learning algorithms for risk stratification in glaucoma | Cynthia Yu-Wai-Man | Christopher Hammond |
24 | Machine Learning Techniques to Predict Deterioration of Patients with Cirrhosis in Hospital Wards | Mark McPhail | Zina Ibrahim |
25 | The impact of linguistic bias on models learned from labelled electronic health record text | Angus Roberts | Rina Dutta |
26 | Life Course Impact of Common Conditions Experienced In Childhood on Health Outcomes and Costs | Ingrid Wolfe | Marina Soley-Bori, Raghu Lingam |
27 | Identification of older adults at risk of post-discharge medication-related harm: implementation of a prognosic model in electronic health records | Jennifer Stevenson | Abdel Douiri, Kia-Chong Chua, Graham Davies |
28 | High throughput identification of risk phenotypes and mechanisms of disease deterioration in liver failure | Mark McPhail | Zina Ibrahim |
29 | Investigate the use of AI for longitudinal evaluation of prostate cancer patients on active surveillance (AS) | Sebastien Ourselin | Vicky Goh, Prokar Dasgupta, Michela Antonelli |
30 | The Digital Twin in Heart Failure towards its optimal longitudinal management | Pablo Lamata | Gerald Carr-white |
31 | A multi-omics approach to identify biochemical pathways associated with Alzheimer Disease | Petroula Proitsi | Daniel Stahl, Cristina Legido-Quigley |
32 | Can clinical decision making in oesophageal pre-cancer surveillance and therapy be automated? A study using natural language processing of gastrointestinal endoscopy reports | Angus Roberts | Sebastian Zeki, |
33 | A germline variant by somatic mutation (G×M) association study for Clonal Haematopoiesis | Mohammad Mahdi Karimi | Eric So |
34 | Use of power of machine learning (ML) to predict and improve medication adherence in patients with cardiovascular disease (CVD) | Sophia Tsoka, Mohamed A Alhna, Henry Fok, Albert Ferro | John Weinman |
35 | An artificial intelligence-powered prescribing aid for cardiovascular risk (CVD) prevention | Sophia Tsoka, Mohamed A Alhna, Henry Fok, Albert Ferro | John Weinman |
36 | Drivers and Mediators of Parkinson’s and Overlap and Related Diseases: Black Box Deconstruction & Rational Rebuild | Steven Gilmour | John Dobbs, Sylvia Dobbs, André Charlett |
37 | Postnatal care following complicated pregnancy – healthcare utilisation and opportunities for health promotion | Sara L White, Laura A Magee | Angela Flynn, Lucilla Poston, Peter von Dadelszen |
38 | Improving Healthcare for All - Realising Value from Health Data | Ingrid Wolfe | Jeremy Yates |
39 | Improving outcomes for children with long-term conditions using a Learning Health System approach | Ingrid Wolfe | Elizabeth Cecil |
40 | Digital interventions for early detection and prevention of cardiovascular disease (CVD) through community-primary care partnerships | Mariam Molokhia, Seeromanie Harding | Salma Ayis, Clare Coultas |
41 | Using machine learning to predict treatment pathways in end stage kidney disease (ESKD) | Mariam Molokhia, Katie Vinen, Claire Sharpe | Kathleen Steinhöfel, Dorothea Nitsch |
42 | Towards a better understanding of the natural history of the inherited metabolic liver disease and cardiorespiratory comorbidities | Mariam Molokhia, Richard Thompson | Mary Bythell, Steven Hardy, Tamir Rashid |