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DTSTAMP:20250822T115809Z
LOCATION:Room 6.0D13
DTSTART;TZID=Europe/Stockholm:20250617T113000
DTEND;TZID=Europe/Stockholm:20250617T120000
UID:submissions.pasc-conference.org_PASC25_sess143_msa244@linklings.com
SUMMARY:LLMs Accelerating the Translation of Evidence into Personalised De
 cisions
DESCRIPTION:Janna Hastings (University of Zurich, Institute for Implementa
 tion Science in Health Care)\n\nEvidence from randomised controlled trials
  is often reported as aggregate effects, while individual patients may dif
 fer from the trial population in many ways. Determining the most applicabl
 e evidence for a given patient’s unique characteristics and prior treatmen
 ts can be challenging. Large Language Models (LLMs) enable large-scale pro
 cessing of textual information, offering a step change in how we extract a
 nd apply trial evidence. This presentation will cover recent advancements 
 in leveraging LLMs to accelerate the translation of evidence into personal
 ised treatments.\n\nDomain: Applied Social Sciences and Humanities, Engine
 ering, Life Sciences, Computational Methods and Applied Mathematics\n\nSes
 sion Chair: John Anderson Garcia Henao (Balgrist University Hospital, OR-X
  Translational Center for Surgery)\n\n
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