BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260629T133825Z
UID:c1c5101a-ed5c-49e9-80d5-ba5f57fd24a4
DTSTART:20190611T160000Z
DTEND:20190611T170000Z
DESCRIPTION:ModelRX support similarity identification in other case studies
  by providing tools for calculating theoretical descriptors of substances.
  Also\, aims to fill gaps in incomplete datasets and use in silico predict
 ive modelling approaches (read across\, QSAR) to support final risk assess
 ment.\nThe ModelRX case study contributes provides computational methods t
 o support  suitability assessment of existing data and identification of a
 nalogues and also provides predictive modelling functionalities\, which ar
 e essential in the field of final risk assessment.
SUMMARY:Demonstration on OpenRiskNet approach on modelling for prediction o
 r read across (ModelRX case study)
URL;VALUE=URI:https://openrisknet.org/events/67/
END:VEVENT
END:VCALENDAR