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SUMMARY:Disease prediction using nationwide health data and genetics - Dr 
 Andrea Ganna (FIMM)
DTSTART;VALUE=DATE-TIME:20251022T140000
DTEND;VALUE=DATE-TIME:20251022T150000
UID:https://talks.ox.ac.uk/talks/id/5e304db5-a3f2-4457-a872-b18f57dc3e0f/
DESCRIPTION:Utilising data from Finland\, where genetic details of approxi
 mately 500\,000 individuals are linked to a national health registry\, thi
 s presentation will explore the use of polygenic scores and electronic hea
 lth records (EHRs) to predict disease susceptibility. It will highlight th
 e challenges and successes of employing polygenic scores for disease predi
 ction. Additionally\, the talk will discuss the application of machine lea
 rning algorithms to predict healthcare outcomes from EHRs\, assessing thei
 r fairness and generalizability across different populations. The presenta
 tion will conclude with a direct comparison of genetic and EHR-based predi
 ctions to assess which approach is most predictive and generalizable acros
 s healthcare systems.\nSpeakers:\nDr Andrea Ganna (FIMM)
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TZID:Europe/London
URL:https://talks.ox.ac.uk/talks/id/5e304db5-a3f2-4457-a872-b18f57dc3e0f/
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DESCRIPTION:Talk:Disease prediction using nationwide health data and genet
 ics - Dr Andrea Ganna (FIMM)
TRIGGER:-PT1H
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