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Precision Health

Population Health Data Science Research Seminar Series

Each seminar has a featured speaker(s) and theme and there will be an opportunity to connect and ask about their work.

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
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Join the mailing list

Sign up to our mailing list to receive invitations to the seminars.  This link only works for Queen Mary staff. If you are from Barts Health, please email r.mathur@qmul.ac.uk to be added.

Upcoming

Thursday 19 November 2026, 12.00-12.50

AI-assisted conceptual model development using patient experience data
Prof. Conrad Bessant (School of Biological and Behavioural Sciences), Dr Fabrizio Smeraldi (School of Electronic Engineering and Computer Science) and Dr Maryam Abdollahyan (Barts Cancer Institute), Queen Mary University of London and Mebomine.

Patient experience data (PED)—information reported directly by patients and caregivers about their lived experience—are essential in building disease conceptual models—representations of a condition, its symptoms and impacts, and how they relate to each other. Traditionally, conceptual models are generated through time- and resource-intensive qualitative interviews and literature reviews conducted by researchers. Social media offers a promising alternative source of PED. In this seminar, the presenters use Lennox-Gastaut syndrome (a rare type of epilepsy) as a case study to compare social media analysis with traditional approaches and emerging Artificial Intelligence (AI) tools, and discuss how social media data might best be combined with AI-assisted methods to produce high-quality conceptual models.

Past seminars

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

 

Zhiqiang Huo: Building an EHR-linked digital portal for stroke self-management

19 October 2026

Isaac Sekitoleko: Machine learning reveals predictors of diabetes in rural Uganda

21 September 2026

Michael Barnes: Insights into multiple long-term conditions and polypharmacy from the AI-MULTIPLY Consortium

6 July 2026

Yin Zhou: When is a UTI not a UTI?

25 June 2026

Robin Flaig: UK Longitudinal Linkage Collaboration

14 May 2026

Segun Fatumo: Harnessing African genomic diversity for global precision medicine

23 February 2026

Andrew Snelling: Conducting research in the QResearch database

12 January 2026

Jo Waller: Nesting psychological studies within cancer screening trials

24 November 2025

Lei Lu: Using deep learning AI models to unlock insights from electrocardiogram (ECG) data

20 October 2025

Michal Shimonovich: Does improving the energy efficiency of homes also improve health outcomes?

1 October 2025

Nida Ahmed: A prediction model for stroke after Transcatheter Aortic Valve Implantation

PhD and Early Career Researcher showcase, 25 September 2025

Elif Dogu: Machine learning across the care pathway

PhD and Early Career Researcher showcase, 25 September 2025

Ben McGuirk: Multi-cancer risk prediction models for early detection of upper gastrointestinal cancers

PhD and Early Career Researcher showcase, 25 September 2025

Venet Osmani: Transforming medical practice through Generalist Clinical AI

16 June 2025

Amar Dhand: Social network interventions in medicine

10 March 2025

Jianfeng Feng: Predicting and diagnosing Alzheimer’s disease with multi-scale data

24 February 2025

Rupert Pearse: Public health for the surgical patient

14 November 2024

John Prowle: Using Creatinine as a biomarker of muscle loss

21 October 2024

Rebekah Young: Barriers and facilitators to the use of a digital behaviour change intervention in lung cancer prehabilitation

PhD and Early Career Researcher showcase, 23 September 2024

Alison May Berner: Exploring cancer risk, screening and treatment in the transgender population

PhD and Early Career Researcher showcase, 23 September 2024

Tahania Ahmad: Ethnic and socio-economic disparities in cancer survivors

PhD and Early Career Researcher showcase, 23 September 2024

Kevin Wing, Paris Baptiste: Designing observational studies to emulate a randomised controlled trial

20 June 2024

Anna Schultze: Open science for epidemiologists: Should we all be publishing our code?

16 May 2024

Zahra Raisi-Estabragh: Using cardiovascular imaging in population health data science

25 March 2024

John Ford: Using machine learning to build 'Living Evidence Maps'

15 January 2024

Hannah Brewer: The Cancer Loyalty Card study

14 December 2023

Jianhua Wu: An AI-based algorithm to predict atrial fibrillation in general practice

2 November 2023

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)
 

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