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UID:61663136-3732-4230-b931-333130346139
BEGIN:VEVENT
UID:dfd1f4b48241ed2e269809e9ab21fa139bdf6daa@swoogo.com
DTSTAMP:20260413T042249Z
DESCRIPTION:This webinar will offer insights into using in silico methods f
 or predictive toxicology and drug development. It will demonstrate the rea
 l-world application of in silico predictions and address challenges and so
 lutions\, highlighting their significance in advancing drug discovery and 
 safety assessment. For those involved in chemical development intended for
  human use\, this knowledge can streamline research processes\, minimizing
  both costs and time investments during wet lab experimentation.\n\nCOVERE
 D AREAS IN THE SESSION:\n\n	* In silico predictions\n 	* ADMET properties\n 
 	* In silico models/predictions\n 	* Live demonstration of Toxometris.ai\n 	*
  Add-on integration with eLabJournal\n\n 
DTSTART:20240605T140000Z
DTEND:20240605T150000Z
LAST-MODIFIED:20260413T042249Z
LOCATION:https://event.eppendorf.com/labchannel/v/s-2251182
SEQUENCE:0
STATUS:CONFIRMED
SUMMARY:Enhancing Research: Integrating Toxometris.ai's In Silico Capabilit
 ies with eLabJournal
TRANSP:OPAQUE
X-ALT-DESC;FMTTYPE=text/html:<p>This webinar will offer insights into using
  in silico methods for predictive toxicology and drug development. It will
  demonstrate the real-world application of in silico predictions and addre
 ss challenges and solutions\, highlighting their significance in advancing
  drug discovery and safety assessment. For those involved in chemical deve
 lopment intended for human use\, this knowledge can streamline research pr
 ocesses\, minimizing both costs and time investments during wet lab experi
 mentation.</p>\n\n<p><span style='font-size:11pt\;'><span style='font-fami
 ly:Calibri\, sans-serif\;'><strong>Covered areas in the session:</strong><
 /span></span></p>\n\n<ul><li style='margin-left:8px\;'><span style='font-s
 ize:11pt\;'><span style='font-family:Calibri\, sans-serif\;'>In silico pre
 dictions</span></span></li>\n	<li style='margin-left:8px\;'><span style='fo
 nt-size:11pt\;'><span style='font-family:Calibri\, sans-serif\;'>ADMET pro
 perties</span></span></li>\n	<li style='margin-left:8px\;'><span style='fon
 t-size:11pt\;'><span style='font-family:Calibri\, sans-serif\;'>In silico 
 models/predictions</span></span></li>\n	<li style='margin-left:8px\;'><span
  style='font-size:11pt\;'><span style='font-family:Calibri\, sans-serif\;'
 >Live demonstration of Toxometris.ai</span></span></li>\n	<li style='margin
 -left:8px\;'><span style='font-size:11pt\;'><span style='font-family:Calib
 ri\, sans-serif\;'>Add-on integration with eLabJournal</span></span></li>
 \n</ul><p> </p>
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UID:37343839-6531-4564-a139-633965316633
ACTION:DISPLAY
DESCRIPTION:This webinar will offer insights into using in silico methods f
 or predictive toxicology and drug development. It will demonstrate the rea
 l-world application of in silico predictions and address challenges and so
 lutions\, highlighting their significance in advancing drug discovery and 
 safety assessment. For those involved in chemical development intended for
  human use\, this knowledge can streamline research processes\, minimizing
  both costs and time investments during wet lab experimentation.\n\nCOVERE
 D AREAS IN THE SESSION:\n\n	* In silico predictions\n 	* ADMET properties\n 
 	* In silico models/predictions\n 	* Live demonstration of Toxometris.ai\n 	*
  Add-on integration with eLabJournal\n\n 
TRIGGER:-PT15M
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