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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 22 May, 12.30-13.20

Louise Arseneault and Bridget Bryan, 'The Atlas of Longitudinal Datasets:  One tool, endless possibilities'

The Atlas of Longitudinal Datasets is a new online, searchable platform that provides information about thousands of longitudinal datasets from around the world. It is designed to enhance scientific data discoverability and bridge critical gaps across disciplines, including mental health, physical health, education, and administrative research. This seminar will provide background information about the creation and development of the Atlas, and a live demonstration of how it can become an indispensable tool for a range of longitudinal data users. 

Monday 16 June, 12.00-12.50

Venet Osmani, 'Transforming medical practice through Generalist Clinical AI'

We’re on the cusp of a major revolution in healthcare. Just as the microscope opened a whole new, previously unseen world, clinical AI is providing unprecedented health insights by combing through vast amounts of data. Translating these insights into real-world clinical applications is the next frontier towards the vision of Generalist Clinical AI (GCAI), which refers to AI systems with human-level capabilities to support clinical decision-making. Venet Osmani will illustrate some of the current advancements in this field across diverse areas of medicine, including mental health, chronic diseases (including neurodegenerative conditions), cancer, and critical care. He will also highlight the capabilities of data from wearable devices, discuss several challenges, and share his vision for how Generalist Clinical AI will transform medical practice and clinical discovery. 

Monday 7 July, 12.00-12.50

Jo Waller, 'Nesting psychological studies within cancer screening trials: the added value of interview and survey research'

Past seminars

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

 

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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