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VERSION:2.0
PRODID:-//PhD TV//phdtv//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:D. Inauen: Towards closing gaps in livestock physiologically-b
 ased kinetic modeling: Machine learning prediction of total plasma clearan
 ce and tissue-plasma partition coefficients\, and integration of growth in
  a physiologically-based kinetic model with a case...
BEGIN:VEVENT
UID:2026/2026-11-02-utrecht-d-inauen@phdtv
DTSTAMP:20261028T063041Z
DTSTART:20261102T151500Z
DURATION:PT60M
SEQUENCE:29886150
SUMMARY:D. Inauen: Towards closing gaps in livestock physiologically-based 
 kinetic modeling: Machine learning prediction of total plasma clearance an
 d tissue-plasma partition coefficients\, and integration of growth in a ph
 ysiologically-based kinetic model with a case...
DESCRIPTION:Stream: https://video.uu.nl/lives/senate-hall-phd-defense-2026-
 2027/\nUtrecht University\, Mon 2 Nov 2026 16:15 CET\nVeterinary science\,
  Computer and information sciences
LOCATION:Utrecht University
URL:https://phdtv.net/defenses/2026/2026-11-02-utrecht-d-inauen/
END:VEVENT
END:VCALENDAR