Projects

Advanced Computational Methods for Translating Histopathology to Spatial Molecular Profiling with Clinical and Functional Validation

Foresight XL: Large Language Models for Predicting Future Medical Events with Clinical Alignment and Explainability

Developing synthetic control methods to utilise patient timelines generated by the Foresight transformer for target trial emulations using electronic health records (EHRs)

PRiSMM Digital Health: PReventing Severe Maternal Morbidity through Digital signatures of Health Outcomes

Understanding Mechanisms of Digital Therapeutics through Large-Scale Behavioural Data

Virtual clinical trial populations in motor neuron disease

Using neurosymbolic approaches to represent and reason over fuzzy medical concepts

Characterising the convergent mechanisms of mRNP dysregulation in ALS

In silico identification of potent noncoding neoantigens for breast cancer vaccine development

Identifying Health Inequalities and Quantifying impact on patient care pathways across SE London through the Application of Machine Learning and Prediction Modelling.

From Genes to Therapeutics: Exploring Longevity Mechanisms in Motor Neurone Disease

Investigating the functional role of human endogenous retroviruses using lond-read sequencing

Improving clinical phenotyping in epilepsy using machine learning with free text clinical records and multimodal clinical data

Utilising vocal biomarkers and artificial intelligence to aid psychological and neurological health assessments

A comprehensive investigation of the role of mitochondrial variation in Amyotrophic Lateral Sclerosis utilising large scale genomics and stem cell models

Predicting muscle stem cell function from molecular profiling of tissues using an AI deep learning model

Tracking preventable deaths: applying data linkage and AI to develop clinical tools for prevention

The use of natural language processing methods to improve the care and outcomes for patients with advanced liver disease

Mapping Deep Phenotypes in Atopic Dermatitis: A Machine Learning Approach to Understanding Disease Diversity

Causal Discovery for Large-Scale Analysis of Patient Trajectories from Health Data

Personalised IoT data-based health and performance systems for safe and sustainable future human spaceflight

Evaluating novel technologies to monitor behaviour symptoms in dementia

Right Treatment, Right Patient, Right Time: Causal Prediction Modelling for Stratified Mental Health Care

AI Hospital of the Future: A Multi‑Agent, Multimodal Simulation of End‑to‑End Automated NHS Patient Pathways

Unlocking the potential of wearable monitoring for prediction of adverse events and cognitive decline.

Optimising clinical prediction methods to impact preventive detection of young people with emerging mental disorders

Leveraging Electronic Health Records and Genetic Data for Personalized Antidepressant Treatment

Artificial Intelligence-Driven Methods to Quantify and Improve Equity in Clinical Trials

Utilising pulse oximetry waveforms to optimise pregnancy outcomes

New Language Modeling Approaches to Tackle Climate-Health Emergencies – SOLACE-AI

Building a digital twin for muscle stem cell function in ageing and disease

Utilising responsible artificial intelligence for speech-based assessments of psychological and neurological disorders

Digital health strategies for investigating and addressing health inequalities in sexual and gender minority groups

Neurosymbolic Large Language Models for Robust Medical Timeline Generation: A Compositional Approach to Clinical AI Safety

Using neuro-symbolic AI for guideline-based clinical decision support in UK primary care

Developing a Rapid Evaluation Framework for Mental Health Policy Using Electronic Health Records: Applications to Welfare and Environmental Policy

From Stem Cell–Derived Neurogenesis Signatures to Population-Level Predictive Models of Alzheimer’s Disease Progression Using Multimodal Patient Data

Evolutionary Algorithms to Jointly Identify Causal Genes and Cellular Niches from Genetic Risk Loci and Spatial Transcriptomics

Developing and applying novel propensity scoring approaches for target trial emulations using electronic health records (EHRs)

Precise Control of Drug Release in Machine Learning-Designed Antibody-Eluting Implants in Glaucoma

Developing a Digital Twin for the Optimisation of Radiology Services in the NHS: A Systems Engineering Approach to Evaluate the Clinical and Economic Impact of Novel Medical Technologies

Humanus Ex-Machina: When does AI show itself to be human?

Conflict Detection and Reconciliation Across Diverse Clinical Knowledge Sources in Pregnancy Care

The role of mitochondria in the causal pathways of neurodegenerative disorders

Modelling Student Mental Health in the Higher Education context: data linkage to identify systemic risk and protective factors in a complex system.

ALS in a Global Context: Integrating Genomic and Epigenomic Data from Diverse Populations

De novo molecular generation and property optimization using multi-objective Monte Carlo Tree Search

The invisible link: Mental health, musculoskeletal injuries, and AI-driven risk prediction in UK military personnel

Implementing Differential Privacy in Neural Networks to Enhance Data Security and Anonymization

iCHAMP: Integrative AI and computational modelling of host genetics and microbiome for personalised healthy ageing

Integrating EEG, MRI, and routine health records to understand epileptogenesis from perinatal risk factors to childhood phenotypes

Embodied Assistive Technology for Health Contexts

Biologically-Inspired Neural Network Models to Guide Closed-Loop Stimulation for Psychiatric Disorders

Unravel Disease Heterogeneity in the ALS-FTD Spectrum using multi modal data and computational methods

Neurobiologically Informed Transformers (Neuro-BOTs) for Interpretable and Clinically Relevant Neuroimaging Analysis

Sexual minority group membership: Classification and the prediction of common mental health problems.

A Clinically-Informed Approach to Missingness in Complex Medical Time Series

Decoding Tumour–Immune Interactions with AI and Multi-Omic Modelling

Fairness Beyond Demographics: Addressing Hidden Biases in AI for Healthcare

Multimodal Subtyping and Prediction of Transdiagnostic Anhedonia

Exploring Ethnic Inequalities in Progression from Severe Mental Illness to Physical Multimorbidity and Clinical Outcomes with Machine Learning Approaches

Multimodal Prediction of Headache and Facial Pain Outcomes Using Electronic Patient Records, National Audit Data and Structural Imaging

Inferring Upper-Limb Muscle Dynamics from Video Data Using RGB-D and Physics-Informed Modelling

Evaluating the Impact of Fortification of Non-Wholemeal Wheat Flour with Folic Acid on Maternal-Fetal and Child Outcomes in UK Mother-Child Cohorts

A comprehensive approach to studying health inequalities in stroke – using novel methods & multimodal data

A Foundational AI Engine for Interpretable Biology

Patient-specific CTA-informed in-silico simulation of interventional fluoroscopy: A digital twin for stroke patients

When are large language models (LLMs) good enough for health care?

Towards adulthood: A remote monitoring study of young people with ADHD

The impact of climate and enviromental change on population mental health and mental health services: A population-based natural experiment

A multimodal and interaction-based approach to the multi-omics study of the biological basis of neurodegenerative diseases

Bridging Signals and Language: Explainable AI for Clinical Report Generation and Patient Communication

Computer vision-based control system for a novel of myoelectric prosthetic to improve reliability and user experience

Creating a circular economy for prosthetic limb provision in the UK

Precision health economics in maternal and child health: long-term cost-effectiveness and equity impact of AI-supported care

Collecting and Analysing Speech from Clinical Interviews from Community Mental Health Teams and linking with Electronic Health Records

Digital twins for histopathology toward personalised cancer treatment

AI-Driven Systems Biology for the Development of Effective Treatment Strategies in Cardiovascular Disease

Investigating Cell Type Specific Epigenetic Regulation in ALS using cell type deconvolution and machine learning

Smartphone signals to support pregnancy: digital phenotypes for preterm birth risk

Enhancing the Care of People with Diabetes Distress using Large Language Models with Retrieval-Augmented Generation (Chat D-Stress)

AI-Powered Portable MRI Abnormality Detection (APPMAD)

AI-Enabled Multi-Transducer Ultrasound: Advancing the Next Generation of Medical Imaging

Hybrid AI for toxicology interpretation: a learning-enhanced object-oriented Bayesian network (OOBN) expert system for case-level decisions

Giving Prosthetic Hands a Sense of Touch

Can digital communication messages and clinical data be used to create a human digital twin for patients with psychotic disorders?

Can functional brain connectivity generated from structural brain connectivity help predict outcomes for patients with psychotic illnesses?

Stratification of cardiomyopathy-associated variants of unknown significance using machine learning-based multi-modal imaging analyses

Digital Liver Twins for MASLD: Integrating Spatial Multi-Omics with Personalised Genome-Scale Metabolic Models

Decoding the Heart–Brain Connection through Advanced Imaging, Machine Learning and Genetic Modelling to Tackle Dementia and Cardiovascular Disease

Electronic Health Record and Registry Data to Understand Lower Limb Problems in Stroke Survivors

Fair Multimodal AI for Cardiovascular Disease Characterisation

Quantifying and Predicting Real-World Repetitive Negative Thought

SPAR: Extraction of novel signatures to improve prediction of future cardiovascular or respiratory disease.

Harnessing multi-omics data to interrogate the mechanisms of disease in the microvasculature.

Computational Simulation and Predictive Modelling of Fetal Body Anomalies in High-Risk Pregnancies

Data-driven transitions: using wearables, nutrition, and AI to predict and support health trajectories in recently discharged veterans

Assessing the longitudinal association between oral conditions and disease development using linked dental-medical electronic health records

Vascular and brain ageing resilience in the context of APOE

Individualised prediction models for preterm infants which leverage the ‘bumpiness’ of their clinical course using high temporal resolution routine health data

Multimodal Knowledge Graphs and Generative AI for Inclusive Digital Access: Bridging the Multimedia Gap for People with Disabilities

Learning medical diagnosis and treatment prediction models from small, heterogenous data

Designing machine learning workflows to integrate scRNAseq and spatial transcriptomics data sets

From Census to Clinic: Social Determinants of Dementia in the SEPMD Cohort

Data-Driven Research to co-design Epidermolysis bullosa Skin Solutions (DDRESS)

Using Artificial Intelligence to Predict Long-term Stroke Outcome from Combined Imaging and Clinical Data

VISTA-Flow: AI-driven precision simulation for early diagnosis of heart failure

AI-Driven Integration of Multimodal Data for Prognosis in Thoracic Cancer

Understanding the impact of ICD-11 on stroke in the UK: Utilising live data to improve healthcare

Inclusive optimisation of design principles for critical warning visualisations across the lifespan

Inclusive Engagement in Digital CBT for Long term conditions: A Predictive and Participatory Approach

Precision simulation of neurodegeneration through physics-informed AI

Automated identification of patients with inflammatory bowel disease for clinical trials

Digital twin trajectories in heart failure with preserved ejection fraction

PRISM: Precision Stratification and Clinical Outcomes in Myeloid Neoplasm through Gut–Immunome–Bone Marrow Axis

Predicting Clinical Phenotypes of Deep Vein Thrombosis using Digital Twins and Machine Learning

Towards precision medicine and liver health: integration of multi-modal genomics data with Electronic Health Records.

Modifiers of Methylation-Defined Health Risk Scores at Chromatin Regulator Loci

Health Equity through predictive Evaluation and Assessment of the Limbs (HEEAL): aiding the early recognition of chronic venous insufficiency in people with dark skin tones

Digital Literacy to Enhance Older Adults Health Resilience Against Extreme Weather

Human–Environment Digital Twins: Integrating Urban Dynamics, Climate, Cultural Context, and Emotions to Identify Mental Health Conditions

Beyond Diagnoses: Integrating Brain and Cognitive Data to Test Dimensional and Network Models of Mental Health

Integrative Analysis of RNA Splicing and Modifications in Amyotrophic Lateral Sclerosis

Using machine learning to predict treatment pathways in end stage kidney disease (ESKD)

Integrative analysis of colon tissue multi-omics with electronic health record data to investigate the role of host-microbiome interactions in human health

Learning to Work: Benchmarking Machine Learning and Classical Survival Approaches to Model Employment Outcomes in Severe Mental Illness Across Danish and UK Data

Leveraging Machine Learning for High-Dimensional Mediation: Explaining Outcomes of Psychological Therapy for Anxiety and Depression

AI-Driven Multimodal Analysis of ECGs for Early Cardiovascular Disease Detection Using UK Biobank and Danish Nationwide ECG Cohort

From Efficiency to Dysfunction: Defining the Principles of Brain Efficiency to Understand Psychiatric and Neurological Disorders

AI-Driven Cohort Identification: Multi-Agent System for Neurology Clinical Trial Recruitment

GenAI for Early Detection of Treatment Resistance and Fair Access to Clozapine in Schizophrenia

A multimodal data-driven approach to sustainable healthcare – leveraging community volunteering support to improve patients’ mental health outcomes

Cross-Condition Digital Biomarkers from Wearable and Smartphone Data: Toward a Unified Framework for Behavioral and Physiological Monitoring in Mental and Neurological Disorders

AI-Driven Retrobiosynthesis for Mechanistic Discovery in Cancer and Precision Medicine