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
Previously funded projects
- EBI Awards 2024 (PDF, 167kB)
- EBI Awards 2023 (PDF, 216kB)
- EBI Awards 2022 (PDF, 279kB)
- EBI Awards 2021 (PDF, 224kB)
- EBI Awards 2020 (PDF, 227kB)
- EBI Awards 2019 (PDF, 173kB)
- EBI Awards 2018 (PDF, 91kB)
- EBI Awards 2017 (PDF, 202kB)
- EBI Awards 2016 (PDF, 88kB)
- EBI Awards 2015 (PDF, 260kB)
- EBI Awards 2014 (PDF, 107kB)
- EBI Awards 2013 (PDF, 206kB)
Case studies
Read about the projects we have supported and what they found.