Projects 2025
Email us with the project numbers to request further information on up to 3 projects. We will send you the full project descriptions, aims and outcomes.
Contact Us
Thank you for emailing us your interest in our PhD projects. We will get back to you with further details as soon as possible.
Holiday Notice
Please note that the University will be closed from 21 December to 2 January. During this period, we may be slower in responding to queries about our projects and may not be as quick as usual.

Thank you for your understanding, and we wish you a joyful holiday season!
Application deadline:
Thursday 30 January 2025 at 23:59 hrs (BST)
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2025_01: From Multimodality to Insight - Beyond GenAI in Medicine
Info ->Supervisors:
Dr Zina Ibrahim
Project themes:
1.AI, Machine Learning, and Multimodal Data
2. Neuroscience and Mental Health
3. Imaging
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2025_02: Towards Trustable Healthcare Generative AI Models
Info >Supervisors:
Dr Zina Ibrahim
Project themes:
1.AI, Machine Learning, and Multimodal Data
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P2025_03: ADHD transition: using remote technology to identify targets for intervention
Info ->Supervisors:
Dr Jonna Kuntsi, Professor Richard Dobson
Project themes:
1.Omics and Bioinformatics
2.AI, Machine Learning, Multimodal Data
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2025_04: Sexual minority group membership: Classification and the prediction of common mental health problems
Info ->Supervisors:
Dr Qazi Rahman
Project themes:
1.Omics and Bioinformatics
2.AI, Machine Learning, and Multimodal Data
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2025_05: Explainable AI for medical image classification: applications to brain imaging
Info ->Supervisors:
Professor Hana Chockler
Project themes:
1.Omics and Bioinformatics
2.AI, Machine Learning, and Multimodal Data
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2025_06: Explainable AI for Accelerometer Data To Detect Neurological Deterioration in Cancer Patients
Info ->Supervisors:
Professor Hana Chockler
Project themes:
1.Omics and Bioinformatics
2.AI, Machine Learning, and Multimodal Data
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2025_07: Developing and applying novel propensity scoring approaches for target trial emulations using electronic health records (EHRs)
Info ->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
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2025_08: Developing synthetic control methods to utilise patient timelines generated by the Foresight transformer for target trial emulations using electronic health records (EHRs)
Info ->Supervisors:
Professor Sabine Landau, Dr Nilesh Pareek
Project themes:
1.Omics and Bioinformatics
2.AI, Machine Learning, and Multimodal Data
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2025_09: Co-designing a virtual reality mindfulness application with people with diabetes to reduce diabetes distress and improve quality of life
Info ->Supervisors:
Dr Siobhan O'Connor, Professor Wei Liu
Project themes:
1.Omics and Bioinformatics
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2025_10: Multiomics analysis of aging heart
Info ->Supervisors:
Dr Maxim Freydin, Dr Pier Giorgio Masci
Project themes:
1.AI, Machine Learning, and Multimodal Data
2. Imaging
3. Neuroscience and Mental Health
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2025_11: When are large language models (LLMs) good enough for health care? SOLACE-AI
Info ->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
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2025_12: Pulse oximetry in pregnancy
Info ->Supervisors:
Professor Peter von Dadelszen, Professor Laura McGee
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
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2024_13: Development and deployment of a single unified natural language model for the supervised and automated prediction of follow up for precancerous GI conditions
Info ->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
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2025_14: Early detection of cardiac arrhythmia risks from ECG using AI and cardiac digital twins to uncover the underlying cardiomyopathy
Info ->Supervisors:
Professor Oleg Aslanidi, Professor Pablo Lamata
Project themes:
1.AI, Machine Learning, and Multimodal Data
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2025_15: Advancing Cardiovascular Disease Diagnosis and Medical Report Generation Through Deep Generative Models
Info ->Supervisors:
Dr Lei Lu
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
3.Imaging
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2025_16: In silico identification of potent noncoding neoantigens for cancer vaccine development
Info ->Supervisors:
Dr Mohammad Mahdi Karimi, Dr Sheeba Irshad
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
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2025_17: Towards finding clinical and immunological signatures from a heterogeneous and multimodal clonal haematopoiesis data
Info ->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
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2025_18: Personalised IoT data-based health and performance systems for safe and sustainable future human spaceflight
Info ->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
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2025_19: Advanced statistical methods for multimodal bioimages in cancer research
Info ->Supervisors:
Dr David Pigoli, Professor Maddy Parsons
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
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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
Info ->Supervisors:
Dr Daniel Leightley, Dr Alex Dregan
Project themes:
1.AI, Machine Learning, and Multimodal Data
2.Imaging
3.Neuroscience and Mental Health
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2025_21: Evaluating pharmacological approaches to management of pregnancy complications using the ‘Born in South London’ (eLIXIR) data linkage; a study of metformin treatment
Info ->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
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2025_22: Combining maternal wearables and clinical data to detect abnormal fetal growth; a study in pregnant women
Info ->Supervisors:
Dr Sara White, Dr Michele Orini
Project themes:
1.AI, Machine Learning, and Multimodal Data
2.Neuroscience and Mental Health
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2025_23: Leveraging AI and Large Language Models to Develop a Patient Narrative Dashboard
Info ->Supervisors:
Dr Ben Holgate
Project themes:
1.AI, Machine Learning, and Multimodal Data
2.Imaging
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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
Info ->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
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2025_25: Predicting ADHD: AI-Driven Prognostic Tools for Symptom Trajectory and Outcome
Info ->Supervisors:
Dr Gustavo Sudre, Philip Shaw
Project themes:
1.AI, Machine Learning, and Multimodal Data
2.Imaging
3.Neuroscience and Mental Health
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2025_26: New language modeling approaches to tackle climate-health emergencies - SOLACE-AI
Info ->Supervisors:
Dr Iain Marshall
Project themes:
1.AI, Machine Learning, and Multimodal Data
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2025_27: Integrating EEG, MRI, and routine health records to understand epileptogenesis from perinatal risk factors to childhood phenotypes
Info ->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
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2025_28: Individualised prediction models for preterm infants which leverage the 'bumpiness' of their clinical course using high temporal resolution routine health data
Info ->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
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2025_29: Towards a digital twin of the fetal heart: Predicting coarctation of aorta
Info ->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
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2025_30: Design of a modular probabilistic expert system based on Object-Oriented Bayesian Networks to facilitate the interpretation and collation of toxicological findings
Info ->Supervisors:
Dr Matteo Gallidabino, Dr Vincenzo Abbate
Project themes:
1.AI, Machine Learning, and Multimodal Data
2.Imaging
3.Neuroscience and Mental Health
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2025_31: Harnessing multiomics and deep clinical phenotyping to develop predictive models for preterm birth
Info ->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
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2025_32: Integration of epigenetic profile in MND clinical trials design
Info ->Supervisors:
Dr Ahmad Al Khleifat, Dr Sarah Marzi
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
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2025_33: Optimizing Clinical Trials in Motor Neuron Disease: Harnessing Immune Biomarkers and Machine Learning for Predicting Disease Progression
Info ->Supervisors:
Dr Ahmad Al Khleifat, Dr Ammar Al-Chalabi
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
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2025_34: PrognostiOmics: Multiomics Scores for Predicting Age of Onset in ALS
Info ->Supervisors:
Dr Ahmad Al Khleifat, Dr Oliver Pain
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
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2025_35: The role of mitochondria in the causal pathways of neurodegenerative disorders
ButtonSupervisors:
Dr Alan Hodgkinson, Dr Alfredo Iacoangeli
Project themes:
1.AI, Machine Learning, and Multimodal Data
2.Imaging
3.Neuroscience and Mental Health
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2025_36: Understanding the heart-brain connection to tackle dementia and cardiovascular diseases using deep learning generative, advanced statistical and genetic modelling
Info ->Supervisors:
Professor Alistair Young, Pier-Giorgio Masci
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
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2025_37: Clinical Trial Patient Matching with Multimodal Learning
Info ->Supervisors:
Dr Angus Roberts, Dr Tao Wang
Project themes:
1.AI, Machine Learning, and Multimodal Data
2.Neuroscience and Mental Health
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2025_38: Modeling Multimorbidity Trajectories in Individuals with Severe Mental Illness Using Graph Reinforcement Learning
Info ->Supervisors:
Dr Angus Roberts, Dr Tao Wang
Project themes:
1.AI, Machine Learning, and Multimodal Data
2.Imaging
3.Neuroscience and Mental Health
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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
Info->Supervisors:
Dr Crina Grosnan, Dr Verity McClelland
Project themes:
1.AI, Machine Learning, and Multimodal Data
2.Imaging
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2025_40: Dynamic Statistical Learning Models for Real-time Prediction and Monitoring Patient Outcomes at Scale
Info ->Supervisors:
Dr Ewan Carr, Professor Kimberley Goldsmith
Project themes:
1.AI, Machine Learning, and Multimodal Data
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2025_41: Clinical portable ultra-low-field neuroimaging
Info ->Supervisors:
Dr František Váša, Dr Thomas Booth
Project themes:
1.AI, Machine Learning, and Multimodal Data
2.Neuroscience and Mental Health
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2025_42: Data-driven Neurorehabilitation
Info ->Supervisors:
Professor James Teo
Project themes:
1.Omics and Bioinformatics
2.EHRs, NLP, and LLMs
3.AI, Machine Learning, and Multimodal Data
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2025_43: Data-driven Dementia Treatment Adoption
Info ->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
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2025_44: Data-driven treatments of Multiple Sclerosis and Neuroinflammation
Info ->Supervisors:
Professor James Teo, Dr Arman Eshagi
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
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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
Info ->Supervisors:
Dr Kathryn Dalrymple, Professor Lucilla Poston
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
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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
Info ->Supervisors:
Dr Kathryn Dalrymple, Professor Laura Magee
Project themes:
1.AI, Machine Learning, and Multimodal Data
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2025_47: Leveraging Machine Learning for High-Dimensional Mediation: Explaining Outcomes of Psychological Therapy for Anxiety and Depression
Info ->Supervisors:
Professor Kimberley Goldsmith, Dr Ewan Carr
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
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2025_48: Interrogating smooth muscle cell heterogeneity in vascular ageing and disease using an integrated workflow for scRNAseq
Info ->Supervisors:
Dr Konstantinos Theofilatos, Professor Catherine Shanahan
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
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2025_49: Deep Phenotyping of Heatwave Resilience in Older Adults
Info ->Supervisors:
Dr Mary Ni Lochlainn, Professor Claire Steves
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
3.Imaging
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2025_50: Exploiting Fabric-Based Sensor Technology for Human Activity Recognition in Healthcare
Info ->Supervisors:
Dr Matthew Howard, Dr Irene Di Giulio
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
3.Imaging
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2025_51: Computer vision-based control system for a novel of myoelectric prosthetic to improve reliability and user experience
Info ->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
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2025_52: Causal artificial intelligence to improve obesity treatment
Info ->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
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2025_53: Digital transformation of multidisciplinary weight management services in South-East London
Info ->Supervisors:
Dr Oliver Canfell, Dr Alastair Duncan
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
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2025_54: Machine learning based assessment of masses of the heart using Cardiac MRI to enhance patient diagnosis and management
Info ->Supervisors:
Dr Sohaib Nazir, Professor Andrew King
Project themes:
1.Omics and Bioinformatics
2.AI, Machine Learning, and Multimodal Data
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2025_55: Technologies for Enabling Fairness and Access in Co-Design
Info ->Supervisors:
Dr Timothy Neate
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
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2025_56: Enabling Health Data Equity through Accessible Patient Portals
Info ->Supervisors:
Dr Timothy Neate, Dr Martin Chapman
Project themes:
1.AI, Machine Learning, and Multimodal Data
2.Imaging
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2025_57: Differential geometry for explaining and simulating cellular processes
Info ->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
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2025_58: Natural Language Processing for diagnosis and enhanced risk stratification in Inherited Cardiovascular Conditions
Info ->Supervisors:
Dr Antonio de Marvao, Professor James Teo
Project themes:
1.Omics and Bioinformatics
2.AI, Machine Learning, and Multimodal Data
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2025_59: AI-ECG and natural language processing for large scale Inherited Cardiac Conditions diagnosis and risk stratification
Info ->Supervisors:
Dr Antonio de Marvao, Professor James Teo
Project themes:
1.AI, Machine Learning, and Multimodal Data
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2025_60: Leveraging Electronic Health Records and Genetic Data for Personalized Antidepressant Treatment: A Causal Analysis Approach
Info ->Supervisors:
Professor Cathryn Lewis, Dr Angus Roberts
Project themes:
1.AI, Machine Learning, and Multimodal Data
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2025_61: Unlocking the potential of wearable monitoring in the elderly: prediction of adverse events and cognitive decline
Info ->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
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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
Info ->Supervisors:
Dr Po-Wah So, Dr Maria Deprez
Project themes:
1.AI, Machine Learning, and Multimodal Data
2.Imaging
3.Neuroscience and Mental Health
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2025_63: Modelling cognitive, mental health and functional outcomes after traumatic brain injury using automated digital assessment technology
Info ->Supervisors:
Professor Adam Hampshire, Dr Aminul Ahmed
Project themes:
1.Omics and Bioinformatics
2.AI, Machine Learning, and Multimodal Data
3.Imaging
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2025_64: ALS in a Global Context: Integrating Genomic and Epigenomic Data from Diverse Populations
Info ->Supervisors:
Dr Ahmad Al Khleifat, Dr Sarah Marzi
Project themes:
1.AI, Machine Learning, and Multimodal Data
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2025_65: Using functional genomics to investigate genetic correlation across human diseases and to unravel the underlying biological mechanisms
Info ->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
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2025_66: Investigating the functional role of human endogenous retroviruses using lond-read sequencing
Info ->Supervisors:
Dr Alfredo Iacoangeli, Professor Gerome Breen
Project themes:
1.AI, Machine Learning, and Multimodal Data
2.Omics and Bioinformatics
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2025_67: Systematic assimilation of routinely collected clinical data for risk stratification and outcome prediction in liver transplantation
Info ->Supervisors:
Dr Chris Callaghan, Professor James Teo
Project themes:
1.AI, Machine Learning, and Multimodal Data
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2025_68: Longitudinal familial kinship and genetic analyses in the Genetics Links to Anxiety and Depression and UK BioBank studies
Info ->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
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2025_69: Developing and testing of a novel natural language processing algorithm to identify recovery in mental health electronic records
Info ->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
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2025_70: A Unified Transformer-Based Natural Language Processing Framework for Electronic Health Records
Info ->Supervisors:
Dr Jack Wu, Dr Thomas Searle
Project themes:
1.AI, Machine Learning, and Multimodal Data
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2025_71: Using genetic biobank data to identify common factors between placental function and cardiovascular disorders
Info ->Supervisors:
Dr Jennifer Frost, Professor Rebecca Oakey
Project themes:
1.AI, Machine Learning, and Multimodal Data
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2025_72: Feasibility of a large language model-powered health coach integrated with wearable data for lifestyle modifications in young adults
Info ->Supervisors:
Professor Josip Car
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
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2025_73: Synthesising Realistic Patient Timelines Using LLMs for Counterfactual Modelling in Dynamic, Time-Varying Treatment Regimes
Info ->Supervisors:
Associate Professor Julia Ive, Professor Richard Dobson
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
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2025_74: Streamlining Access to Clinical Guidelines with Knowledge-Infused LLMs
Info ->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
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2025_75: Using online gamified testing to identify early psychosis
Info ->Supervisors:
Dr Kelly Diederen, Dr Thomas Spencer
Project themes:
1.AI, Machine Learning, and Multimodal Data
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2025_76: Using Artificial Intelligence Methods to improve the representative nature of Clinical Trial Populations
Info ->Supervisors:
Dr Kevin O'Gallagher, Professor Richard Dobson
Project themes:
1.AI, Machine Learning, and Multimodal Data
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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
Info ->Supervisors:
Dr Kevin O'Gallagher, Professor Alistair Young
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
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2025_78: A multimodal data-driven approach to sustainable healthcare - leveraging community volunteering support to improve patients’ mental health outcomes
Info ->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
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2025_79: Harnessing AI and multi-omics in TwinsUK to unlock genetic and environmental drivers of skin ageing
Info ->Supervisors:
Dr Mario Falchi, Dr Helen Alexander
Project themes:
1.AI, Machine Learning, and Multimodal Data
2.Neuroscience and Mental Health
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2025_80: Closed-loop experimentation platform to enable autonomous discovery lab
info ->Supervisors:
Dr Miao Guo, Professor Adil Mardinoglu
Project themes:
1.Omics and Bioinformatics
2.AI, Machine Learning, and Multimodal Data
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2025_81: Utilising responsible artificial intelligence for speech-based assessments of psychological and neurological disorders
Info ->Supervisors:
Dr Nicholas Cummins, Dr Ewan Carr
Project themes:
1.AI, Machine Learning, and Multimodal Data
2.Neuroscience and Mental Health
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2025_82: Multimodal Prediction of Psychiatric Outcomes Using Structural Imaging, Blood Biomarkers, and Clinical Data from the KCL CRIS Dataset
Info ->Supervisors:
Dr Paris Alexandros Lalousis, Professor Nikolaos Koutsouleris
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
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2025_83: A longitudinal remote monitoring study of patients suffering from coronary artery disease, and prediction of myocardial infarction
Info ->Supervisors:
Dr Petroula Laiou
Project themes:
1.AI, Machine Learning, and Multimodal Data
2.Imaging
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2025_84: Computational simulation of stem cell function for enhancing muscle function in ageing and disease
Info ->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
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2025_85: Use of machine learning and multi-omics to predict outcomes and direct ‘just in time’ care for patients with inflammatory eye disease
Info ->Supervisors:
Dr Tasanee Braithwaite, Dr Lei Lu
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
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2025_86: Use of machine learning to classify importance of genomic and clinical predictors for vision and health outcome following sight-threatening inflammation
Info ->Supervisors:
Dr Tasanee Braithwaite, Dr Pirro Hysi
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
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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
Info ->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
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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
Info ->Supervisors:
Dr Teresa Guerrero Urbano, Professor Andy King
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
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2025_89: Predictive Modelling of Thromboembolic Diseases Using Physics-Informed Neural Networks
Info ->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
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2025_90: Collecting and Analysing Speech from Clinical Interviews from Community Mental Health Teams and linking with Electronic Health Records
Info ->Supervisors:
Dr Nicholas Cummins, Professor Richard Dobson
Project themes:
1.AI, Machine Learning, and Multimodal Data
2.Imaging
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2025_91: AI/ML Approaches for Integrative Bioinformatics of Thoracic Cancer
info ->Supervisors:
Dr Sophia Tsoka
Project themes:
1.Omics and Bioinformatics
2.AI, Machine Learning, and Multimodal Data
3.Imaging
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2025_92: Improving management of oesophageal and lung cancer through multiomic data science
Info ->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
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2025_93: Developing a Tool for Assessing Neuropsychiatric symptoms and its correlation with cognitive function in diverse ethnic communities
Info ->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
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2025_94: Enhancing Patient Privacy: Differential Privacy in Federated Learning for Healthcare
Info ->Supervisors:
Dr Frederik Mallmann-Trenn
Project themes:
1.AI, Machine Learning, and Multimodal Data
2.Imaging
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2025_95: Optimising Employment Outcomes in Early Psychosis: A Feasability Study of AI-Augmented Individual Placement & Support
Info ->Supervisors:
Dr Ricardo Twumasi, Dr Paris Alexandros Lalousis
Project themes:
1.AI, Machine Learning, and Multimodal Data
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2025_96: Using AI to create living clinical guidelines for stroke
Info ->Supervisors:
Dr Iain Marshall, Professor Martin James
Project themes:
1.AI, Machine Learning, and Multimodal Data
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2025_97: Understanding the impact of ICD-11 on stroke in the UK: Utilising live data to improve healthcare
Info ->Supervisors:
Dr Iain Marshall
Project themes:
1.AI, Machine Learning, and Multimodal Data
2.Neuroscience and Mental Health
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2025_98: Using Artificial Intelligence to Predict Long-term Stroke Outcome from Combined Imaging and Clinical Data
Info ->Supervisors:
Dr Matthew O'Connell, Dr Iain Marshall
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
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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
Info ->Supervisors:
Professor Jordana Bell, Dr Kerrin Small
Project themes:
1.AI, Machine Learning, and Multimodal Data
2.Imaging
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2025_100: Developing Mobile Health Foundation Models
info ->Supervisors:
Dr Amos Folarin, Professor Richard Dobson
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
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2025_101: Machine learning in electronic health records for prognosis and diagnosis of rare neurological disorders
Info ->Supervisors:
Professor Richard Dobson
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
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2025_102: Temporal detection and analyses of interactions when combining multiple clinical guidelines, patient preferences and goals
Info ->Supervisors:
Professor Vasa Curcin
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
3.Neuroscience and Mental Health
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2025_103: Modelling patterns of relapse in Multiple Myeloma
Info ->Supervisors:
Dr Arief Gunawan, Professor Richard Dobson,
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
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2025_104: Multimodal Epilepsy Lesion Detection with AI and Diffusion Imaging
Info ->Supervisors:
Dr Konrad Wagstyl, Dr J-Donald Tournier
Project themes:
1.Imaging
2.AI, Machine Learning, and Multimodal Data
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2025_105: Design of a modular probabilistic expert system based on Object-Oriented Bayesian Networks to facilitate the interpretation and collation of toxicological findings
Info ->Supervisors:
Dr Matteo Gallidabino, Dr Vincenzo Abbate
Project themes:
1.EHRs, NLP, and LLMs
2.AI, Machine Learning, and Multimodal Data
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2025_106: Fair Multimodal AI for Cardiovascular Disease Characterisation
Info ->Supervisors:
Professor Andrew King, Dr Martin Bishop
Project themes:
1.Imaging
2.AI, Machine Learning, and Multimodal Data
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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
Info ->Supervisors:
Professor Richard Dobson, Professor Velandai Srikanth
Project themes:
1.Imaging
2.AI, Machine Learning, and Multimodal Data
EPSRC DRIVE-Health Centre for Doctoral Training in Data-Driven Health