Projects for October 2026 will be advertised at the end of November 2025.
The ones listed below are from our 2025 round.
Keep an eye on our LinkedIn page for updates.
2025_01: From Multimodality to Insight - Beyond GenAI in Medicine
Supervisors:
Dr Zina Ibrahim
Project themes:
1.AI, Machine Learning, and Multimodal Data
2. Neuroscience and Mental Health
3. Imaging
2025_02: Towards Trustable Healthcare Generative AI Models
Supervisors:
Dr Zina Ibrahim
Project themes:
1.AI, Machine Learning, and Multimodal Data
2025_03: ADHD transition: using remote technology to identify targets for intervention
Supervisors:
Dr Jonna Kuntsi, Professor Richard Dobson
Project themes:
1.Omics and Bioinformatics
2.AI, Machine Learning, Multimodal Data
2025_04: Sexual minority group membership: Classification and the prediction of common mental health problems
Supervisors:
Dr Qazi Rahman
Project themes:
1.Omics and Bioinformatics
2.AI, Machine Learning, and Multimodal Data
2025_05: Explainable AI for medical image classification: applications to brain imaging
Supervisors:
Professor Hana Chockler
Project themes:
1.Omics and Bioinformatics
2.AI, Machine Learning, and Multimodal Data
2025_06: Explainable AI for Accelerometer Data To Detect Neurological Deterioration in Cancer Patients
Supervisors:
Professor Hana Chockler
Project themes:
1.Omics and Bioinformatics
2.AI, Machine Learning, and Multimodal Data
2025_07: Developing and applying novel propensity scoring approaches for target trial emulations using electronic health records (EHRs)
Supervisors:
Professor Sabine Landau, Dr Giouliana Kadra
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
3.Neuroscience and Mental Health
2025_08: Developing synthetic control methods to utilise patient timelines generated by the Foresight transformer for target trial emulations using electronic health records (EHRs)
Supervisors:
Professor Sabine Landau, Dr Nilesh Pareek
Project themes:
1.Omics and Bioinformatics
2.AI, Machine Learning, and Multimodal Data
2025_09: Co-designing a virtual reality mindfulness application with people with diabetes to reduce diabetes distress and improve quality of life
Supervisors:
Dr Siobhan O'Connor, Professor Wei Liu
Project themes:
1.Omics and Bioinformatics
2025_10: Multiomics analysis of aging heart
Supervisors:
Dr Maxim Freydin, Dr Pier Giorgio Masci
Project themes:
1.AI, Machine Learning, and Multimodal Data
2. Imaging
3. Neuroscience and Mental Health
2025_11: When are large language models (LLMs) good enough for health care? SOLACE-AI
Supervisors:
Dr Iain Marshall, Dr Martin Chapman
Project themes:
1. EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
3. Mobile Health and other patient generated/non-healthcare data
2025_12: Pulse oximetry in pregnancy
Supervisors:
Professor Peter von Dadelszen, Professor Laura McGee
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
2025_13: Development and deployment of a single unified natural language model for the supervised and automated prediction of follow up for precancerous GI conditions
Supervisors:
Dr Sebastian Zeki, Dr Angus Roberts
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
3. Neuroscience and Mental Health
2025_14: Early detection of cardiac arrhythmia risks from ECG using AI and cardiac digital twins to uncover the underlying cardiomyopathy
Supervisors:
Professor Oleg Aslanidi, Professor Pablo Lamata
Project themes:
1.AI, Machine Learning, and Multimodal Data
2025_15: Advancing Cardiovascular Disease Diagnosis and Medical Report Generation Through Deep Generative Models
Supervisors:
Dr Lei Lu
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
3.Imaging
2025_16: In silico identification of potent noncoding neoantigens for cancer vaccine development
Supervisors:
Dr Mohammad Mahdi Karimi, Dr Sheeba Irshad
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
2025_17: Towards finding clinical and immunological signatures from a heterogeneous and multimodal clonal haematopoiesis data
Supervisors:
Dr Mohammad Mahdi Karimi, Dr Giorgio Napolitani
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
3.Mobile Health and other patient generated/non-healthcare data
2025_18: Personalised IoT data-based health and performance systems for safe and sustainable future human spaceflight
Supervisors:
Dr Peter Hodkinson, Professor Yang Gao
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
3. Neuroscience and Mental Health
2025_19: Advanced statistical methods for multimodal bioimages in cancer research
Supervisors:
Dr David Pigoli, Professor Maddy Parsons
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
2025_20: Developing an AI-informed risk prediction model of the relationship between suicide, comorbidity, medication, and gambling-related suicide risk: A comparative study between Armed Forces and civilian populations
Supervisors:
Dr Daniel Leightley, Dr Alex Dregan
Project themes:
1.AI, Machine Learning, and Multimodal Data
2.Imaging
3.Neuroscience and Mental Health
2025_21: Evaluating pharmacological approaches to management of pregnancy complications using the ‘Born in South London’ (eLIXIR) data linkage; a study of metformin treatment
Supervisors:
Dr Sara White, Professor Lucilla Poston
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
3.Neuroscience and Mental Health
2025_22: Combining maternal wearables and clinical data to detect abnormal fetal growth; a study in pregnant women
Supervisors:
Dr Sara White, Dr Michele Orini
Project themes:
1.AI, Machine Learning, and Multimodal Data
2.Neuroscience and Mental Health
2025_23: Leveraging AI and Large Language Models to Develop a Patient Narrative Dashboard
Supervisors:
Dr Ben Holgate, Dr Angus Roberts
Project themes:
1.AI, Machine Learning, and Multimodal Data
2.Imaging
2025_24: Exploring the relationship between mental health and musculoskeletal injuries in Serving Armed Forces personnel: A mixed methods study to develop an AI-powered risk prediction framework
Supervisors:
Dr Daniel Leightley, Dr Katie Dalrymple
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
3.Neuroscience and Mental Health
4.Mobile Health and other patient generated/non-healthcare data
2025_25: Predicting ADHD: AI-Driven Prognostic Tools for Symptom Trajectory and Outcome
Supervisors:
Dr Gustavo Sudre, Philip Shaw
Project themes:
1.AI, Machine Learning, and Multimodal Data
2.Imaging
3.Neuroscience and Mental Health
2025_26: New language modeling approaches to tackle climate-health emergencies - SOLACE-AI
Supervisors:
Dr Iain Marshall
Project themes:
1.AI, Machine Learning, and Multimodal Data
2025_27: Integrating EEG, MRI, and routine health records to understand epileptogenesis from perinatal risk factors to childhood phenotypes
Supervisors:
Dr Kimberley Whitehead, Professor Jonathan O'Muircheartaigh
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
3.Neuroscience and Mental Health
2025_28: Individualised prediction models for preterm infants which leverage the 'bumpiness' of their clinical course using high temporal resolution routine health data
Supervisors:
Dr Kimberley Whitehead, Dr Raquel Iniesta
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
3.Neuroscience and Mental Health
2025_29: Towards a digital twin of the fetal heart: Predicting coarctation of aorta
Supervisors:
Dr Maria Deprez, Professor Pablo Lamata
Project themes:
1.Omics and Bioinformatics
2.AI, Machine Learning, and Multimodal Data
3.Imaging
4.Neuroscience and Mental Health
2025_30: Design of a modular probabilistic expert system based on Object-Oriented Bayesian Networks to facilitate the interpretation and collation of toxicological findings
Supervisors:
Dr Matteo Gallidabino, Dr Vincenzo Abbate
Project themes:
1.AI, Machine Learning, and Multimodal Data
2.Imaging
3.Neuroscience and Mental Health
2025_31: Harnessing multiomics and deep clinical phenotyping to develop predictive models for preterm birth
Supervisors:
Professor Rachel Tribe, Dr Alessandra Vigilante
Project themes:
1.AI, Machine Learning, and Multimodal Data
2.Imaging
3.Neuroscience and Mental Health
4.Mobile Health and other patient generated/non-healthcare data
2025_32: Integration of epigenetic profile in MND clinical trials design
Supervisors:
Dr Ahmad Al Khleifat, Dr Sarah Marzi
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
2025_33: Optimizing Clinical Trials in Motor Neuron Disease: Harnessing Immune Biomarkers and Machine Learning for Predicting Disease Progression
Supervisors:
Dr Ahmad Al Khleifat, Dr Ammar Al-Chalabi
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
2025_34: PrognostiOmics: Multiomics Scores for Predicting Age of Onset in ALS
Supervisors:
Dr Ahmad Al Khleifat, Dr Oliver Pain
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
2025_35: The role of mitochondria in the causal pathways of neurodegenerative disorders
Supervisors:
Dr Alan Hodgkinson, Dr Alfredo Iacoangeli
Project themes:
1.AI, Machine Learning, and Multimodal Data
2.Imaging
3.Neuroscience and Mental Health
2025_36: Understanding the heart-brain connection to tackle dementia and cardiovascular diseases using deep learning generative, advanced statistical and genetic modelling
Supervisors:
Professor Alistair Young, Pier-Giorgio Masci
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
2025_37: Clinical Trial Patient Matching with Multimodal Learning
Supervisors:
Dr Angus Roberts, Dr Tao Wang
Project themes:
1.AI, Machine Learning, and Multimodal Data
2.Neuroscience and Mental Health
2025_38: Modeling Multimorbidity Trajectories in Individuals with Severe Mental Illness Using Graph Reinforcement Learning
Supervisors:
Dr Angus Roberts, Dr Tao Wang
Project themes:
1.AI, Machine Learning, and Multimodal Data
2.Imaging
3.Neuroscience and Mental Health
2025_39: Developing a digital twin model to simulate the brain’s response to EEG-based neurofeedback– a potential neurorehabilitation approach for childhood dystonia/dystonic cerebral palsy
Supervisors:
Dr Crina Grosnan, Dr Verity McClelland
Project themes:
1.AI, Machine Learning, and Multimodal Data
2.Imaging
2025_40: Dynamic Statistical Learning Models for Real-time Prediction and Monitoring Patient Outcomes at Scale
Supervisors:
Dr Ewan Carr, Professor Kimberley Goldsmith
Project themes:
1.AI, Machine Learning, and Multimodal Data
2025_41: Clinical portable ultra-low-field neuroimaging
Supervisors:
Dr František Váša, Dr Thomas Booth
Project themes:
1.AI, Machine Learning, and Multimodal Data
2.Neuroscience and Mental Health
2025_42: Data-driven Neurorehabilitation
Supervisors:
Professor James Teo
Project themes:
1.Omics and Bioinformatics
2.EHRs, NLP, and LLMs
3.AI, Machine Learning, and Multimodal Data
2025_43: Data-driven Dementia Treatment Adoption
Supervisors:
Professor James Teo
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
3.Mobile Health and other patient generated/non-healthcare data
2025_44: Data-driven treatments of Multiple Sclerosis and Neuroinflammation
Supervisors:
Professor James Teo, Dr Arman Eshagi
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
2025_45: Evaluating the Impact of Fortification of Non-Wholemeal Wheat Flour with Folic Acid on Maternal-Fetal and Child Outcomes in UK Mother-Child Cohorts
Supervisors:
Dr Kathryn Dalrymple, Professor Lucilla Poston
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
2025_46: Assessing the impact of medicines and supplements used in pregnancy on maternal and infant outcomes using the eLIXIR-Born in South London Data Linkage Cohort
Supervisors:
Dr Kathryn Dalrymple, Professor Laura Magee
Project themes:
1.AI, Machine Learning, and Multimodal Data
2025_47: Leveraging Machine Learning for High-Dimensional Mediation: Explaining Outcomes of Psychological Therapy for Anxiety and Depression
Supervisors:
Professor Kimberley Goldsmith, Dr Ewan Carr
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
2025_48: Interrogating smooth muscle cell heterogeneity in vascular ageing and disease using an integrated workflow for scRNAseq
Supervisors:
Dr Konstantinos Theofilatos, Professor Catherine Shanahan
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
2025_49: Deep Phenotyping of Heatwave Resilience in Older Adults
Supervisors:
Dr Mary Ni Lochlainn, Professor Claire Steves
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
3.Imaging
2025_50: Exploiting Fabric-Based Sensor Technology for Human Activity Recognition in Healthcare
Supervisors:
Dr Matthew Howard, Dr Irene Di Giulio
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
3.Imaging
2025_51: Computer vision-based control system for a novel of myoelectric prosthetic to improve reliability and user experience
Supervisors:
Dr Nicola Bailey, Dr Letizia Gionfrida
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
3.Neuroscience and Mental Health
4.Mobile Health and other patient generated/non-healthcare data
2025_52: Causal artificial intelligence to improve obesity treatment
Supervisors:
Dr Oliver Canfell, Dr Nicola Paoletti
Project themes:
1.Omics and Bioinformatics
2.EHRs, NLP, and LLMs
3.AI, Machine Learning, and Multimodal Data
4.Imaging
5.Neuroscience and Mental Health
2025_53: Digital transformation of multidisciplinary weight management services in South-East London
Supervisors:
Dr Oliver Canfell, Dr Alastair Duncan
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
2025_54: Machine learning based assessment of masses of the heart using Cardiac MRI to enhance patient diagnosis and management
Supervisors:
Dr Sohaib Nazir, Professor Andrew King
Project themes:
1.Omics and Bioinformatics
2.AI, Machine Learning, and Multimodal Data
2025_55: Technologies for Enabling Fairness and Access in Co-Design
Supervisors:
Dr Timothy Neate
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
2025_56: Enabling Health Data Equity through Accessible Patient Portals
Supervisors:
Dr Timothy Neate, Dr Martin Chapman
Project themes:
1.AI, Machine Learning, and Multimodal Data
2.Imaging
2025_57: Differential geometry for explaining and simulating cellular processes
Supervisors:
Professor Anita Grigoriadis, Dr Christopher Banerji
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
3.Neuroscience and Mental Health
2025_58: Natural Language Processing for diagnosis and enhanced risk stratification in Inherited Cardiovascular Conditions
Supervisors:
Dr Antonio de Marvao, Professor James Teo
Project themes:
1.Omics and Bioinformatics
2.AI, Machine Learning, and Multimodal Data
2025_59: AI-ECG and natural language processing for large scale Inherited Cardiac Conditions diagnosis and risk stratification
Supervisors:
Dr Antonio de Marvao, Professor James Teo
Project themes:
1.AI, Machine Learning, and Multimodal Data
2025_60: Leveraging Electronic Health Records and Genetic Data for Personalized Antidepressant Treatment: A Causal Analysis Approach
Supervisors:
Professor Cathryn Lewis, Dr Angus Roberts
Project themes:
1.AI, Machine Learning, and Multimodal Data
2025_61: Unlocking the potential of wearable monitoring in the elderly: prediction of adverse events and cognitive decline
Supervisors:
Dr Michele Orini, Dr Amos Folarin
Project themes:
1.AI, Machine Learning, and Multimodal Data
2.Mobile Health and other patient generated/non-healthcare data
2025_62: Causal modelling and explainable deep learning to disentangle the roles of iron imbalance, neuroinflammation and demyelination in Alzheimer’s Disease through quantitative magnetic resonance imaging
Supervisors:
Dr Po-Wah So, Dr Maria Deprez
Project themes:
1.AI, Machine Learning, and Multimodal Data
2.Imaging
3.Neuroscience and Mental Health
2025_63: Modelling cognitive, mental health and functional outcomes after traumatic brain injury using automated digital assessment technology
Supervisors:
Professor Adam Hampshire, Dr Aminul Ahmed
Project themes:
1.Omics and Bioinformatics
2.AI, Machine Learning, and Multimodal Data
3.Imaging
2025_64: ALS in a Global Context: Integrating Genomic and Epigenomic Data from Diverse Populations
Supervisors:
Dr Ahmad Al Khleifat, Dr Sarah Marzi
Project themes:
1.AI, Machine Learning, and Multimodal Data
2025_65: Using functional genomics to investigate genetic correlation across human diseases and to unravel the underlying biological mechanisms
Supervisors:
Dr Alfredo Iacoangeli, Dr Oliver Pain
Project themes:
1.AI, Machine Learning, and Multimodal Data
2.Neuroscience and Mental Health
3.Mobile Health and other patient generated/non-healthcare data
2025_66: Investigating the functional role of human endogenous retroviruses using lond-read sequencing
Supervisors:
Dr Alfredo Iacoangeli, Professor Gerome Breen
Project themes:
1.AI, Machine Learning, and Multimodal Data
2.Omics and Bioinformatics
2025_67: Systematic assimilation of routinely collected clinical data for risk stratification and outcome prediction in liver transplantation
Supervisors:
Dr Chris Callaghan, Professor James Teo
Project themes:
1.AI, Machine Learning, and Multimodal Data
2025_68: Longitudinal familial kinship and genetic analyses in the Genetic Links to Anxiety and Depression and UK BioBank studies
Supervisors:
Professor Gerome Breen, Dr Moritz Herle
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
3.Neuroscience and Mental Health
2025_69: Developing and testing of a novel natural language processing algorithm to identify recovery in mental health electronic records
Supervisors:
Dr Giouliana Kadra-Scalzo, Dr Angus Roberts
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
3.Neuroscience and Mental Health
2025_70: A Unified Transformer-Based Natural Language Processing Framework for Electronic Health Records
Supervisors:
Dr Jack Wu, Dr Thomas Searle
Project themes:
1.AI, Machine Learning, and Multimodal Data
2025_71: Using genetic biobank data to identify common factors between placental function and cardiovascular disorders
Supervisors:
Dr Jennifer Frost, Professor Rebecca Oakey
Project themes:
1.AI, Machine Learning, and Multimodal Data
2025_72: Feasibility of a large language model-powered health coach integrated with wearable data for lifestyle modifications in young adults
Supervisors:
Professor Josip Car
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
2025_73: Synthesising Realistic Patient Timelines Using LLMs for Counterfactual Modelling in Dynamic, Time-Varying Treatment Regimes
Supervisors:
Associate Professor Julia Ive, Professor Richard Dobson
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
2025_74: Streamlining Access to Clinical Guidelines with Knowledge-Infused LLMs
Supervisors:
Associate Professor Julia Ive, Professor Richard Dobson
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
3.Imaging
4.Neuroscience and Mental Health
2025_75: Using online gamified testing to identify early psychosis
Supervisors:
Dr Kelly Diederen, Dr Thomas Spencer
Project themes:
1.AI, Machine Learning, and Multimodal Data
2025_76: Using Artificial Intelligence Methods to improve the representative nature of Clinical Trial Populations
Supervisors:
Dr Kevin O'Gallagher, Professor Richard Dobson
Project themes:
1.AI, Machine Learning, and Multimodal Data
2025_77: iHFpEF: AI imaging analysis of echocardiographic data to allow development of a fully integrated prediction model for heart failure with preserved ejection fraction (HFpEF) using both echo and clinical data
Supervisors:
Dr Kevin O'Gallagher, Professor Alistair Young
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
2025_78: A multimodal data-driven approach to sustainable healthcare - leveraging community volunteering support to improve patients’ mental health outcomes
Supervisors:
Dr Mariana Pinto da Costa, Professor Robert Stewart
Project themes:
1.AI, Machine Learning, and Multimodal Data
2.Imaging
3.Neuroscience and Mental Health
2025_79: Harnessing AI and multi-omics in TwinsUK to unlock genetic and environmental drivers of skin ageing
Supervisors:
Dr Mario Falchi, Dr Helen Alexander
Project themes:
1.AI, Machine Learning, and Multimodal Data
2.Neuroscience and Mental Health
2025_80: Closed-loop experimentation platform to enable autonomous discovery lab
Supervisors:
Dr Miao Guo, Professor Adil Mardinoglu
Project themes:
1.Omics and Bioinformatics
2.AI, Machine Learning, and Multimodal Data
2025_81: Utilising responsible artificial intelligence for speech-based assessments of psychological and neurological disorders
Supervisors:
Dr Nicholas Cummins, Dr Ewan Carr
Project themes:
1.AI, Machine Learning, and Multimodal Data
2.Neuroscience and Mental Health
2025_82: Multimodal Prediction of Psychiatric Outcomes Using Structural Imaging, Blood Biomarkers, and Clinical Data from the KCL CRIS Dataset
Supervisors:
Dr Paris Alexandros Lalousis, Professor Nikolaos Koutsouleris
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
AI Modeling for Cardiovascular Risk Assessment in Menopausal Women
Supervisors:
Dr Petroula Laiou
Project themes:
1.AI, Machine Learning, and Multimodal Data
2.Imaging
2025_84: Computational simulation of stem cell function for enhancing muscle function in ageing and disease
Supervisors:
Dr Robert Knight, Dr Steffen Zschaler
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
3.Neuroscience and Mental Health
2025_85: Use of machine learning and multi-omics to predict outcomes and direct ‘just in time’ care for patients with inflammatory eye disease
Supervisors:
Dr Tasanee Braithwaite, Dr Lei Lu
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
2025_86: Use of machine learning to classify importance of genomic and clinical predictors for vision and health outcome following sight-threatening inflammation
Supervisors:
Dr Tasanee Braithwaite, Dr Pirro Hysi
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
2025_87: Multimodal patient data streams to develop an AI-based Pipeline for Multi-Toxicity Predictive Models in Head and Neck Cancer Patients Treated with Radiotherapy
Supervisors:
Dr Teresa Guerrero Urbano, Professor Andy King
Project themes:
1.AI, Machine Learning, and Multimodal Data
2.Mobile Health and other patient generated/non-healthcare data
2025_88: Multi-institutional large-scale deep learning-based modelling of mandibular osteoradionecrosis using clinical data and dose distribution volumes: Phase II of the PREDMORN study
Supervisors:
Dr Teresa Guerrero Urbano, Professor Andy King
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
2025_89: Predictive Modelling of Thromboembolic Diseases Using Physics-Informed Neural Networks
Supervisors:
Dr Adelaide De Vecchi, Professor Oleg Aslanidi
Project themes:
1.AI, Machine Learning, and Multimodal Data
2.Neuroscience and Mental Health
3.Mobile Health and other patient generated/non-healthcare data
2025_90: Collecting and Analysing Speech from Clinical Interviews from Community Mental Health Teams and linking with Electronic Health Records
Supervisors:
Dr Nicholas Cummins, Professor Richard Dobson
Project themes:
1.AI, Machine Learning, and Multimodal Data
2.Imaging
2025_91: AI/ML Approaches for Integrative Bioinformatics of Thoracic Cancer
Supervisors:
Dr Sophia Tsoka
Project themes:
1.Omics and Bioinformatics
2.AI, Machine Learning, and Multimodal Data
3.Imaging
2025_92: Improving management of oesophageal and lung cancer through multiomic data science
Supervisors:
Professor Vicky Goh, Dr Sophia Tsoka
Project themes:
1.Omics and Bioinformatics
2.EHRs, NLP, and LLMs
3.AI, Machine Learning, and Multimodal Data
4.Imaging
2025_93: Developing a Tool for Assessing Neuropsychiatric symptoms and its correlation with cognitive function in diverse ethnic communities
Supervisors:
Dr Zunera Khan, Dr Miguel Vasconcelos Da Silva
Project themes:
1.Omics and Bioinformatics
2.EHRs, NLP, and LLMs
3.AI, Machine Learning, and Multimodal Data
2025_94: Enhancing Patient Privacy: Differential Privacy in Federated Learning for Healthcare
Supervisors:
Dr Frederik Mallmann-Trenn
Project themes:
1.AI, Machine Learning, and Multimodal Data
2.Imaging
2025_95: Optimising Employment Outcomes in Early Psychosis: A Feasability Study of AI-Augmented Individual Placement & Support
Supervisors:
Dr Ricardo Twumasi, Dr Paris Alexandros Lalousis
Project themes:
1.AI, Machine Learning, and Multimodal Data
2025_96: Using AI to create living clinical guidelines for stroke
Supervisors:
Dr Iain Marshall, Professor Martin James
Project themes:
1.AI, Machine Learning, and Multimodal Data
2025_97: Understanding the impact of ICD-11 on stroke in the UK: Utilising live data to improve healthcare
Supervisors:
Dr Iain Marshall
Project themes:
1.AI, Machine Learning, and Multimodal Data
2.Neuroscience and Mental Health
2025_98: Using Artificial Intelligence to Predict Long-term Stroke Outcome from Combined Imaging and Clinical Data
Supervisors:
Dr Matthew O'Connell, Dr Iain Marshall
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
2025_99: Integrative analyses of colon tissue epigenomic and multi-omic profiles with health record data towards a better understanding of the role of host-microbiome interactions on human health
Supervisors:
Professor Jordana Bell, Dr Kerrin Small
Project themes:
1.AI, Machine Learning, and Multimodal Data
2.Imaging
2025_100: Developing Mobile Health Foundation Models
Supervisors:
Dr Amos Folarin, Professor Richard Dobson
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
2025_101: Machine learning in electronic health records for prognosis and diagnosis of rare neurological disorders
Supervisors:
Professor Richard Dobson
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
2025_102: Temporal detection and analyses of interactions when combining multiple clinical guidelines, patient preferences and goals
Supervisors:
Professor Vasa Curcin
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
3.Neuroscience and Mental Health
2025_103: Modelling patterns of relapse in Multiple Myeloma
Supervisors:
Dr Arief Gunawan, Professor Richard Dobson,
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
2025_104: Multimodal Epilepsy Lesion Detection with AI and Diffusion Imaging
Supervisors:
Dr Konrad Wagstyl, Dr J-Donald Tournier
Project themes:
1.Imaging
2.AI, Machine Learning, and Multimodal Data
2025_105: Design of a modular probabilistic expert system based on Object-Oriented Bayesian Networks to facilitate the interpretation and collation of toxicological findings
Supervisors:
Dr Matteo Gallidabino, Dr Vincenzo Abbate
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
2025_106: Fair Multimodal AI for Cardiovascular Disease Characterisation
Supervisors:
Professor Andrew King, Dr Martin Bishop
Project themes:
1.Imaging
2.AI, Machine Learning, and Multimodal Data
2025_107: Detecting Frailty in electronic records using AI based approaches for Natural Language Processing and Large Language Models (LLM) on real world clinical text from multiple countries
Supervisors:
Professor Richard Dobson, Associate Professor Richard Beare, Professor James Teo
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
2025_108: Strategies for investigating and addressing health inequalities in sexual and gender minority groups
Supervisors:
Dr Amal Khanolkar, Professor Laia Becares, Dr Martin Chapman
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
2025_109: Multimodal dental AI with uncertainty quantification
Supervisors:
Dr Yunpeng Li
Project themes:
1.AI, Machine Learning, and Multimodal Data
Detecting heroin/opioid overdose through analysis of data from wearables: developing a new emergency alert capability
Supervisors:
Professor John Strang
Professor Richard Dobson
Project themes:
1.AI, Machine Learning, and Multimodal Data
