BEGIN:VCALENDAR VERSION:2.0 PRODID:-//http://www.ucmr.umu.se//NONSGML kigkonsult.se iCalcreator 2.29.29 // CALSCALE:GREGORIAN METHOD:PUBLISH UID:9ba1a370-3482-4594-8eb8-f43ad7b695a1 X-WR-CALNAME:JCal Pro Calendar X-WR-CALDESC:Your online events calendar X-WR-TIMEZONE:Europe/Stockholm BEGIN:VTIMEZONE TZID:Europe/Stockholm BEGIN:STANDARD TZNAME:CET DTSTART:20251026T030000 TZOFFSETFROM:+0200 TZOFFSETTO:+0100 RDATE:20261025T030000 END:STANDARD BEGIN:DAYLIGHT TZNAME:CEST DTSTART:20260329T020000 TZOFFSETFROM:+0100 TZOFFSETTO:+0200 RDATE:20270328T020000 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:b19863b60a719aad7fe0a497d688b4f9http://www.ucmr.umu.se DTSTAMP:20260429T225921Z CATEGORIES:Seminar DESCRIPTION:
EMBL Partnership for Molecular Medicine (FIMM - M IMS - NCMM) joint Special Seminar at the Biomedicum in Helsinki.< br />Video transfer of the talk to Umeå and Oslo simultanously.

John Overington\, EMBL Outstation - Hinxton\, European B ioinformatics Institute\, Cambridge\, UK

'A data mining synthesis approach to the discovery of impersonalised\, robust and safe t herapies'

Abstract:
Adverse Drug Reactions\, ADRs\, are a major burden on healthcare systems\, and arguably\, if patients can be stratified\, mor e novel therapies\, tolerable in particular genotyped groups could be deve loped and launched. We have taken a data synthesis approach to explore ADR s and some of the underlying molecular recognition and pharmacokinetic con cepts. We then derived a novel drug combination strategy which theoretical ly can greatly improve the safety of current therapies and also lead to mo re predictable and consistent patient population response.

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Summary for downl oad

Place: Major Groove\, Department of Mo lecular Biology\, bldg 6L\, University Hospital Area

Or ganizer in Sweden: Åke Forsberg
Host at FIMM in Finl and: Heidi Virtanen
DTSTART;TZID=Europe/Stockholm:20120531T103000 DTEND;TZID=Europe/Stockholm:20120531T113000 SUMMARY:Video-Transfer-Seminar - John Overington: A data mining synthesis a pproach to the discovery of impersonalised\, robust and safe therapies URL:http://www.ucmr.umu.se/about-ucmr/events/162-ucmr-calendar/164-seminar/ 201-video-transfer-seminar-john-overington-a-data-mining-synthesis-approac h-to-the-discovery-of-impersonalised-robust-and-safe-therapies.html X-ALT-DESC;FMTTYPE=TEXT/HTML:
EMBL Partnership for Molecular M edicine (FIMM - MIMS - NCMM) joint Special Seminar at the Biomedicum in He lsinki.
Video transfer of the talk to Umeå and Oslo simultan ously.

John Overington\, EMBL Outstation - Hin xton\, European Bioinformatics Institute\, Cambridge\, UK

'A data mining synthesis approach to the discovery of impersonalised\, robust and safe therapies'

Abstract:< br />Adverse Drug Reactions\, ADRs\, ar e a major burden on healthcare systems\, and arguably\, if patients can be stratified\, more novel therapies\, tolerable in particular genotyped gro ups could be developed and launched. We have taken a data synthesis approa ch to explore ADRs and some of the underlying molecular recognition and ph armacokinetic concepts. We then derived a novel drug combination strategy which theoretically can greatly improve the safety of current therapies an d also lead to more predictable and consistent patient population response .

pdf