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TZID:Europe/Paris
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DTSTART:20181028T030000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
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DTSTART:20180325T020000
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RDATE:20190331T020000
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UID:calendar.13543.field_data.0@www.u-gov-ricerca.uniroma1.it
DTSTAMP:20260412T140211Z
CREATED:20181018T133623Z
DESCRIPTION:One major obstacle in current medicine and drug development is 
 inherent in the way we define and approach diseases. Here\, we will discus
 s the diagnostic and prognostic value of (multi-)omics panels in general. 
 We will have a closer look at breast cancer subtyping and treatment outcom
 e\, as case example\, using gene expression panels – and we will discuss t
 he current 'best practice' in the light of critical statistical considerat
 ions. Afterwards\, we will introduce computational approaches for network-
 based medicine. We will discuss novel developments in graph-based machine 
 learning using examples ranging from Huntington's disease mechanisms via l
 ung cancer drug target discovery back to where we started\, i.e. breast ca
 ncer subtyping and treatment optimization - but now from a systems medicin
 e point of view. We conclude that systems medicine and modern artificial i
 ntelligence open new avenues to shape future medicine. Speaker:Prof. Jan B
 aumbach\, Chair of Experimental Bioinformatics School of Life Sciences Wei
 henstephan TUM Technische Universität Munchen (DE)
DTSTART;TZID=Europe/Paris:20181024T143000
DTEND;TZID=Europe/Paris:20181024T143000
LAST-MODIFIED:20220321T172903Z
LOCATION:Aula A2
SUMMARY:Computational Systems Medicine - What I learned about Arnold Schwar
 zenegger while studying breast cancer survival - Prof. Jan Baumbach
URL;TYPE=URI:http://www.u-gov-ricerca.uniroma1.it/node/13543
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