Currently funded research

Below is a list of the projects and researchers we currently fund. We support research beyond the initial funding to ensure it continues to develop and deliver impact.

AI Prediction Of Peptide Ligand-surfacome Interactions – Proof Of Concept

David Murphy

Faculty of Health and Life Sciences
Bristol Medical School


 

Community Participatory Research for Adolescent Health Promotion in Diverse Communities in Bangladesh 

Nick Townsend

Faculty of Arts, Law and Social Sciences
School of Policy Studies


Cryptic Chatter: Decoding Multicellular Interactions with AI Microscopy 

Asme Boussahel

Faculty of Health and Life Sciences
Cellular and Molecular Medicine


Evaluating the impact of the BioFire® FilmArray® blood culture panel in rapid diagnostics and antimicrobial stewardship in Zimbabwe

David Hettle

Faculty of Health and Life Sciences
Bristol Medical School


Feasibility of Artificial Intelligence (AI) for Patient Registries

James Hodge

Faculty of Health and Life Sciences
Physiology, Pharmacology and Neuroscience


Improving tuberculosis diagnosis and treatment through novel testing modalities and biomarkers

Angus De Wilton

Faculty of Health and Life Sciences
Bristol Medical School


 

Investigating practices around antimicrobial prescribing in Harare, Zimbabwe

Jack Stanley

Faculty of Health and Life Sciences
Bristol Medical School


Mental Health in Young People

Myles-Jay Linton

Faculty of Health and Life Sciences
Bristol Medical School  


 

Predictors of mental health problems in autism

Laura Hull 

Faculty of Health and Life Sciences
Bristol Medical School (Population Health Science) 


Preventing anxiety and depression in schools: Co-production of a novel arts-based programme

Naomi Warne

Faculty of Health and Life Sciences
Bristol Medical School 


Quantifying explainable AI interpretability for healthcare settings

Jeff Clark

Faculty of Science and Engineering
Engineering Mathematics and Technology


Training Azerbaijani paediatricians in communicating about vaccinations with caregivers – AzPIC Study

Emma Anderson

Faculty of Health and Life Sciences
Bristol Medical School 


Using generative AI (language models) in qualitative health research: Building collaborations and developing a framework to securely test and evaluate the use of generative AI in qualitative health research, and impacts on people who are part of minoritised, marginalised communities and most impacted by health inequalities?

Jess Wheeler

Faculty of Health and Life Sciences
Bristol Medical School 


 

Updated 10 April 2025

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