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Computational Systems Medicine - What I learned about Arnold Schwarzenegger while studying breast cancer survival

Prof. Jan Baumbach
Data dell'evento: 
Wednesday, 24 October, 2018 - 14:30
Aula A2
Paolo Tieri, paolo.tieri@cnr.it

One major obstacle in current medicine and drug development is inherent in the way we define and approach diseases. Here, we will discuss the diagnostic and prognostic value of (multi-)omics panels in general. We will have a closer look at breast cancer subtyping and treatment outcome, as case example, using gene expression panels – and we will discuss the current "best practice" in the light of critical statistical considerations. 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 lung cancer drug target discovery back to where we started, i.e. breast cancer subtyping and treatment optimization - but now from a systems medicine point of view. We conclude that systems medicine and modern artificial intelligence open new avenues to shape future medicine. Speaker:

Prof. Jan Baumbach, Chair of Experimental Bioinformatics School of Life Sciences Weihenstephan TUM Technische Universität Munchen (DE)

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