Using Machine Learning, Population Cohorts and Healthcare Data to Capture the Earliest Determinants of Disease and Aging
HDRUK Oxford Monthly Meetups, Monday 4 November 2024, 2:00pm – 3:00pm

Speaker – Professor Philip Awadalla; Professor and Senior Researcher of Molecular Genetics, University of Oxford

Venue – Big Data Institute, Seminar room 0

Bio:
Philip Awadalla is the Professor of Molecular Genetics at the Nuffield Department of Population Health, as well as the Big Data Institute at the University of Oxford. Philip also serves as the National Scientific Director of CanPath (Canadian Partnership for Tomorrow’s Health). Previously, he was a Professor at the University of Toronto, and the University of Montreal Ste Justine Children’s Hospital where he was Director of the CARTaGENE cohort in Quebec. Philip and his team have expertise in population genomics, computational biology, and epidemiology. The research focus of his team is on healthy aging, early cancer detection, and the evolution of somatic mutations.

Abstract:
The integration of machine learning with deeply characterized population cohorts has the potential to revolutionize our understanding of disease onset and the aging process. By leveraging multi-omic datasets, health records, and longitudinal population studies, we can identify novel biomarkers and early determinants of chronic diseases, cancer, and age-related conditions. This presentation will outline a framework that combines AI and machine learning with data from large cohort studies to model the earliest molecular and environmental factors influencing disease and healthy aging trajectories. I will discuss how these models enable the identification of at-risk individuals and potential interventions long before clinical manifestations, paving the way for early detection and prevention strategies.

Hybrid Option:

Please respect our speakers and do not share the link with anyone outside of the University. The purpose of these seminars is to foster more communication among employees working on Data sciences throughout the University and outside, so we strongly advise in-person attendance whenever feasible.

If you wish to attend online, please email hdroxford@bdi.ox.ac.uk
Date: 4 November 2024, 14:00
Venue: Big Data Institute, Old Road Campus OX3 7LF
Venue Details: Seminar room 0
Speaker: Professor Philip Awadalla (University of Oxford)
Organising department: Big Data Institute (NDPH)
Organisers: Natasha Sahgal (University of Oxford), Sumeeta Maheshwari (University of Oxford)
Organiser contact email address: hdroxford@bdi.ox.ac.uk
Part of: HDRUK Oxford Monthly Meetup
Booking required?: Required
Booking email: hdroxford@bdi.ox.ac.uk
Audience: Public
Editors: Sumeeta Maheshwari, Natasha Sahgal