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SUMMARY:Prospects for AI/ML to Inform Prediction and Prevention of Suicide
  and Mental Health Challenges - Professor Jordan Smoller (Harvard Medical 
 School)
DTSTART;VALUE=DATE-TIME:20250304T150000Z
DTEND;VALUE=DATE-TIME:20250304T160000Z
UID:https://new.talks.ox.ac.uk/talks/id/95299574-5721-43d9-8891-797916737b
 10/
DESCRIPTION:Mental disorders and their sequelae are leading causes of disa
 bility worldwide. Despite advances in neuroscience\, genetics\, and therap
 eutic interventions\, psychiatric practice has lagged many other fields of
  medicine in reducing the prevalence and burden of illness. Treatment sele
 ction remains a trial-and-error process and few tools are available for th
 e prevention of morbidity and mortality associated with mental illness. Th
 e growing availability of large-scale data resources coupled with advances
  in AI/ML are providing new opportunities to address these gaps and enable
  the growth of “precision psychiatry”.  This presentation will explore
  these emerging opportunities using the domain of suicide prevention as a 
 primary example.   We will discuss the prospects and pitfalls of efforts t
 o apply AI/ML for prediction\, prevention\, and treatment of psychiatric o
 utcomes and for enhancing clinical decision-making.\nSpeakers:\nProfessor 
 Jordan Smoller (Harvard Medical School)
LOCATION:https://zoom.us/j/92860307789?pwd=iAdkC3QG1wQ8yvbuOBFTibGofmszPY.
 1
TZID:Europe/London
URL:https://new.talks.ox.ac.uk/talks/id/95299574-5721-43d9-8891-797916737b
 10/
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DESCRIPTION:Talk:Prospects for AI/ML to Inform Prediction and Prevention o
 f Suicide and Mental Health Challenges - Professor Jordan Smoller (Harvard
  Medical School)
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