Population Health Data Science Research Seminar Series

Staff and students from Queen Mary and Barts Health NHS Trust are invited to join us, to: 

• See and share examples of research excellence in health data science from across the Wolfson Institute of Population Health (WIPH) and Barts Cancer Institute (BCI), Queen Mary, Barts Health, and more widely
• Develop deeper knowledge of the many health data sources available for research and hear directly from colleagues who are using them
• Meet new collaborators and share expertise in using electronic health records and multimodal data to improve population health

Upcoming

Thursday 25 June 2026, 12-12.50pm

Dr Yin Zhou, Wolfson Institute of Population Health, Queen Mary University of London: 'Recurrent urinary tract infections and bladder cancer risk: insights from a CPRD-based case-control study'

Routinely collected electronic health records are increasingly used to generate real-world evidence for research into cancer epidemiology and early diagnosis. Yin Zhou will present findings from a large UK population-based case-control study, which uses patient record data from Clinical Practice Research Datalink (CPRD) to investigate associations between recurrent urinary tract infections and subsequent bladder cancer risk.

The seminar will cover the study findings and their clinical implications, explore key methodological and practical considerations for CPRD-based cancer research, and reflect on the opportunities and limitations of using primary care data in this field.

Monday 6 July 2026, 12-12.50pm

Professor Michael Barnes, William Harvey Research Institute and Digital Environment Research Institute, Queen Mary University of London: 'Insights into multiple long-term conditions and polypharmacy from the AI-MULTIPLY Consortium'

Multiple long-term conditions and polypharmacy are major challenges for patients, clinicians and health systems, but they are often studied using static disease counts that fail to capture the lived and temporal complexity of care. The AI-MULTIPLY Consortium is using large-scale analysis of routine health records from CPRD, equity-focused AI design, and participatory research including arts-based workshops to develop a more thorough understanding of the trajectories of multiple-long term conditions.

In this seminar, Professor Michael Barnes will summarise the emerging insights from AI-MULTIPLY, which include “bursty” periods of concentrated healthcare activity, and a temporal phenotype associated with mortality and distinct disease patterns.  

Past seminars

With the consent of the speakers, recordings of our seminars are available to watch here after the event.

Organising committee

Co-chairs: Rohini Mathur, Jianhua Wu (WIPH) and Claude Chelala (BCI) 
Committee members: Fabiola Eto, Judith Offman, Stuart Rison, Mary Thomas, Nicola Firman, Marta Wilk, Sara Calhas, Petra Proitsi, Anna Billington (WIPH)