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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

Monday 10 February, 12.00-12.50

Professor Ashley Akbari (Swansea University): SAIL Databank - Using a national Trusted Research Environment to support research and improve services and outcomes

Professor Ashley Akbari will present an overview of work delivered within SAIL Databank; the national Trusted Research Environment (TRE) for Wales. Established in 2007, SAIL (Secure Anonymised Information Linkage) provides access within a secure platform to anonymised, linkable, population-scale data sources, including health and social care, administrative, demographic, socio-economic and a variety of other national, local and specialist services data.  Ashley will discuss examples delivered as part of a multi-disciplinary team to support research and improve services and people’s outcomes, including the One Wales collaboration response to the COVID-19 pandemic, and the creation of a harmonised ethnicity methodology for inequalities research.  

Monday 24 February, 12.00-12.50 (Rescheduled from 16 January)

Professor Jianfeng Feng (University of Warwick): Predicting and diagnosing Alzheimer’s disease with multi-scale data

Using AI to study proteins could soon reach a revolutionary phase that will fundamentally change our understanding of brain disorders, including Alzheimer’s disease. Professor Jianfeng Feng is using novel AI algorithms and omics data to identify which genes, proteins, and other cell components are associated with the onset of Alzheimer’s. These discoveries will enable researchers to subtype diseases and develop more targeted treatments. Professor Feng will also discuss methods to integrate micro-, meso- and macroscopic imaging data, and the development and medical applications of the ‘Digital Twin Brain’ - a model of the whole human brain at neuronal level.

Monday 10 March 2025, 12.00-12.50

Dr Amar Dhand (Harvard Medical School / Brigham and Women’s Hospital): Social Network Interventions in Medicine

Social connections play an important role in predicting health outcomes. In this talk, Dr Amar Dhand will review the principles of a network intervention in medical contexts and suggest that there are two main forms: 1) Interventions aimed to rewire the patient’s network (for example, Alcoholics Anonymous) and 2) Adapting interventions to a patient’s network (for example, family therapy). Dr Dhand will present clinical trial results from TEAMS-BP, a social network intervention to improve blood pressure control after stroke, and use this to discuss the lessons learned and next steps in building and testing social network interventions in patients.

Past seminars

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

 

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, Jing Hui Law, Judith Offman, Stuart Rison, Mary Thomas, Nicola Firman (WIPH)
 

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