Journal Article
Can we trust published evidence on point-of-care tests for cholesterol? A rapid review
Mutepfa, C. C., Hicks, T. P., Winter, A., Dickinson, R. E., Williams, C., Harrison, N., Chidanyika, J., Newton, J. L., Jones, W. S., & Suklan, J. (2025). Can we trust published evidence on point-of-care tests for cholesterol? A rapid review. BMJ open, 15(3), Article e080726. https://doi.org/10.1136/bmjopen-2023-080726
Women's perspectives of molecular breast imaging: a qualitative study: Epidemiology
Elliott, H., Allen, A. J., Forester, N. D., Graziadio, S., Jones, W. S., Lendrem, B. C., Pearce, M. S., Powell, T., Scott, J., & Bray, A. (2025). Women’s perspectives of molecular breast imaging: a qualitative study: Epidemiology. The British Journal of Cancer, 132, 276-282. https://doi.org/10.1038/s41416-024-02930-1
Patient Self-Testing of Kidney Function at Home, a Prospective Clinical Feasibility Study in Kidney Transplant Recipients
Murray, J. S., Williams, C. J., Lendrem, C., Smithson, J., Allinson, C., Robinson, J., Walker, A., Winter, A., Simpson, A. J., Newton, J., Wroe, C., & Jones, W. S. (2023). Patient Self-Testing of Kidney Function at Home, a Prospective Clinical Feasibility Study in Kidney Transplant Recipients. Kidney International Reports, 8(6), 1170-1182. https://doi.org/10.1016/j.ekir.2023.03.003
Presentation / Conference Contribution
Evaluating Asthma Symptoms in Relation to Indoor Air Quality: Insights from IoT-enabled Monitoring
Mishra, B. K., Thakker, D., John, R., Kureshi, R. R., Ahmad, B., Jones, W., & Li, X. (2023, December). Evaluating Asthma Symptoms in Relation to Indoor Air Quality: Insights from IoT-enabled Monitoring. Presented at 4th International Conference on Distributed Sensing and Intelligent Systems (ICDSIS 2023), Dubai, UAE
Research interests
I am Director of Research and Lecturer for the Centre of Excellence for Data Science, AI, and Modelling (DAIM), here at the University of Hull. I also hold an Honorary Contract with Hull University Teaching Hospitals (HUTH), NHS, as a Researcher in Medical Oncology. In both roles, I specialise in the development and evaluation of AI medical diagnostics.
I am the AI lead for the ~£11 million NIHR Centre for Addiction and Mental Health Research at Hull and a co-investigator on a ~£600,000 EPSRC project applying Bayes’ Theorem to optimise trial designs for medical diagnostics. I also involved in many other small AI and healthcare projects.
Before joining Hull in 2023, I spent approx. six years as a Senior NHS Healthcare Scientist at the Royal Victoria Infirmary, Newcastle, while also working as a Senior Methodologist and Manager at the NIHR Newcastle In Vitro Diagnostics Co-operative. There, I co-led a team of NHS and university scientists focused on evaluating and validating new medical diagnostics, including AI technologies. Over my career, I have contributed to over 20 medical test development and evaluation projects, securing around £20 million in research and commercial funding.
I have published on clinical studies, medical statistics, health economics, systematic reviews for medical tests, qualitative medical research, and evidence generation methodologies for AI technologies. My work aims to bridge the gap between technical innovation and clinical application, ensuring that AI medical diagnostics are optimally developed to meet real clinical needs.
Lead investigator
Project
Funder
Grant
Started
Status
Project
A Statistical Framework for Efficient Evidence Generation in Diagnostics
Funder
EPSRC Engineering & Physical Sciences Research Council
Grant
£16,321.00
Started
1 January 2024
Status
Ongoing
Project
AI-Wearable Laboratory Grant
Funder
Hull University Teaching Hospitals NHS Trust
Grant
£520.00
Started
1 September 2024
Status
Ongoing
Project
HEIF: PyPlay: Fun with Python for Junior Coders
Funder
University of Hull
Grant
£22,917.00
Started
1 November 2023
Status
Complete
Project
AI-ECG Laboratory Equipment Grant
Funder
University of Hull
Grant
£6,134.00
Started
1 May 2024
Status
Complete
Co-investigator
Project
Funder
Grant
Started
Status
Project
Wolfson Equipment bid 2023 - Confocal Imaging ZEISS Elyra 7 with Lattice SIM²
Funder
Wolfson Foundation
Grant
£500,000.00
Started
1 October 2024
Status
Ongoing
Project
NIHR Mental Health Research Group
Funder
NIHR National Institute for Health Research
Grant
£8,411,778.00
Started
1 November 2024
Status
Ongoing
Project
Vital Knowledge Exchange Visits: Bolstering Ongoing Collaborative Responsible AI Projects at IIT-M and UoH
Funder
University of Hull
Grant
£7,500.00
Started
1 February 2024
Status
Complete
Postgraduate supervision
I can supervise Masters and PhDs on the topic of AI in healthcare, and philosophy and AI.
Current students I am leading on:
Taofiq Adeyemo, ‘Predicting bleeds in Glioma patients on anticoagulants using AI’.
Supervisors: Dr Will Jones, Eva Sousa, Prof. Antony Maravyas, Dr Farzana Hague, Prof. Anthony Beavis.
Email: t.a.adeyemo-2021@hull.ac.uk
Holly Connolly: ‘Programming Ethics into AI’
Supervisors: Dr Will Jones and Dr Stephen Burwood
Email: h.a.connolly-2018@hull.ac.uk
Hope Ekpa: 'AI & Alcohol Addiction' (pending start)
Supervisors: Dr Will Jones, Prof. Tom Philips, Prof. Judith Cohon