BEGIN:VCALENDAR
VERSION:2.0
PRODID:www.eu-parc.eu
BEGIN:VEVENT
UID:69f3b1df3cc15
DTSTART:20241212T110000Z
SEQUENCE:0
TRANSP:OPAQUE
DTEND:20241212T120000Z
SUMMARY:Webinar on Machine learning methods applied to toxicology with biol
 ogical data - Examples with transcriptomics and cell morphology read out
CLASS:PUBLIC
DESCRIPTION:The Eurotox Faculty Programme hosted a complimentary online web
 inar on Machine Learning Methods Applied to Toxicology with Biological Dat
 a – Examples with Transcriptomics and Cell Morphology Read Out on 12 Dec
 ember 2024. The session was led by Dr. Olivier Taboureau from Université 
 Paris Cité\, France\, and introduced participants to the use of machine l
 earning approaches in toxicology. The program highlighted practical applic
 ations using transcriptomics and cell morphology data\, showcasing how com
 putational methods can enhance the analysis and interpretation of complex 
 biological datasets.Target audienceThe webinar was particularly suited for
  researchers\, students\, and professionals in toxicology\, computational 
 biology\, and related fields who are interested in applying machine learni
 ng methods to biological data.&nbsp\;
X-ALT-DESC;FMTTYPE=text/html:<!doctype html><html><body><p data-start=\"85\
 " data-end=\"683\">The Eurotox Faculty Programme hosted a complimentary on
 line webinar on <em data-start=\"156\" data-end=\"286\">Machine Learning M
 ethods Applied to Toxicology with Biological Data – Examples with Transc
 riptomics and Cell Morphology Read Out</em> on 12 December 2024. The sessi
 on was led by Dr. Olivier Taboureau from Université Paris Cité\, France\
 , and introduced participants to the use of machine learning approaches in
  toxicology. The program highlighted practical applications using transcri
 ptomics and cell morphology data\, showcasing how computational methods ca
 n enhance the analysis and interpretation of complex biological datasets.<
 /p><p data-start=\"685\" data-end=\"1111\"><strong data-start=\"685\" data
 -end=\"704\">Target audience</strong><br>The webinar was particularly suit
 ed for researchers\, students\, and professionals in toxicology\, computat
 ional biology\, and related fields who are interested in applying machine 
 learning methods to biological data.&nbsp\;</p></body></html>
DTSTAMP:20260430T194743Z
END:VEVENT
END:VCALENDAR