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Precision Health
  1. Queen Mary University of London
  2. Precision Health
  3. Precision Health: Population Health Data Science
  4. Seminar series

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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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.
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Upcoming

Monday 20 November, 10.00-10.50

Using the CPRD Queen Mary Multi-Study Licence

Introduction by Professor Fiona Walter. Presentation by the CPRD Multi-Study Licence Team: What are the benefits of using CPRD data and how to access Queen Mary’s Multi-Study Licence. Plus short presentations of CPRD projects currently underway across the University.

Thursday 14 December, 10.00-10.50

The Cancer Loyalty Card study

Presentation by Hannah Brewer. Ovarian cancer symptoms are often non-specific (eg. feeling bloated, back pain) and can be cared for with over-the-counter medication. The “Cancer Loyalty Card study” uses loyalty card data from two high street retailers to investigate purchases of over-the-counter pain and indigestion medications prior to ovarian cancer diagnosis. The study aims to understand any potential delays in diagnosis.

Past seminars

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

 

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: Paris Baptiste, Fabiola Eto, Harriet Larvin, Jing Hui Law, Judith Offman, Stuart Rison, Mary Thomas (WIPH)
 

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