BEGIN:VCALENDAR
VERSION:2.0
PRODID:spatie/icalendar-generator
DESCRIPTION:Events from ScaDS.AI
X-WR-CALDESC:Events from ScaDS.AI
REFRESH-INTERVAL;VALUE=DURATION:PT1440M
X-PUBLISHED-TTL:PT1440M
BEGIN:VTIMEZONE
TZID:Europe/Berlin
BEGIN:DAYLIGHT
DTSTART:20260329T020000Z
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20261025T030000Z
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
END:STANDARD
END:VTIMEZONE
BEGIN:VTIMEZONE
TZID:UTC
BEGIN:STANDARD
DTSTART:20260105T024245Z
TZOFFSETFROM:+0000
TZOFFSETTO:+0000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
UID:453-423
DTSTAMP:20261002T024245Z
SUMMARY:Applied Predictive Modelling for Psychiatric Patients
LOCATION:
ORGANIZER;CN=Gina_Valentin:MAILTO:gina.valentin@tu-dresden.de
DTSTART;TZID=Europe/Berlin:20260813T140000
DTEND;TZID=Europe/Berlin:20260813T150000
X-ALT-DESC;FMTTYPE=TEXT/HTML:Associate Prof. John Wallert from RückLab at 
 Karolinska Institute will dive into the role of predictive modeling in mod
 ern psychiatry. By leveraging large-scale clinical and register data\, his
  team's research focuses on building data-driven tools to better predict p
 atient outcomes and treatment efficacy\, moving the field closer to precis
 ion mental healthcare.
CATEGORIES:Research
URL;VALUE=URI:https://scads.ai/calendar/applied-predictive-modelling-for-ps
 ychiatric-patients/
METHOD:PUBLISH
END:VEVENT
END:VCALENDAR