Organisation profile
Organisation profile
Our research uses data, AI, and technology to answer key questions in public health and care. We are interested in data integration and data-driven methods –with a strong emphasis on machine learning and wider AI systems– as well as in technological applications to health and care, such as robotics. We value and promote data fairness, privacy, and generally trustworthy data-driven methods and systems.
We collaborate with colleagues across UH and with external partners using massive data and technology across the health and care systems, including local authorities, the NHS, police forces, the private sector, charities, and other stakeholders.
For further information, please contact Professor Alejandro Quiroz Flores.
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Collaborations and top research areas from the last five years
Profiles
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INSIGHTS: Exploring cultural adaptation of a faith-placed intervention to promote bowel cancer screening in Hindu communities.
Trivedi, D. (PI), Tylenda, E. (CoI), Thompson, C. (CoI), Waqar, S. (CoI), Masrani, R. (CoI), Wagner, A. (CoI) & Cameron, R. A. (CoI)
1/12/25 → 31/07/26
Project: Research
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Machine Learning, Domestic Abuse, and the Wider Determinants of Health
Quiroz Flores, A. (PI), Mporas, I. (CoI) & Tylenda, E. (CoI)
Project: Research
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Evaluation of The British Islamic Medical Association (BIMA) intervention for bowel cancer screening in the Muslim community.
Tylenda, E., Trivedi, D., Thompson, C., Waqar, S., Smeeton, N., Varnes , J. & Begum, S., 2 Jul 2025.Research output: Contribution to conference › Presentation
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Increasing bowel cancer screening in Muslim communities in the East of England: an evaluation of a faith-placed educational intervention.
Tylenda, E., Trivedi, D., Thompson, C., Smeeton, N., Waqar, S., Varnes , J. & Begum, S., 18 Jun 2025.Research output: Contribution to conference › Presentation
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A Scoping Review to Explore the Food Aid Landscape for Pensioner Age Households (PAH) in the UK: Hidden Hardship and Impact on Health and Wellbeing.
Tylenda, E. & Barnes, E., 6 Mar 2025.Research output: Contribution to conference › Poster