Seminar notice

Wednesday 24 October 2018, h. 14.30

Aula A2, DIAG Sapienza, Via Ariosto 25, Rome

Prof. Jan Baumbach

Chair of Experimental Bioinformatics

School of Life Sciences Weihenstephan

TUM Technische Universität Munchen (DE)

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

One major obstacle in current medicine and drug developmentis 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.

The seminar is intended for the students of Bioinformatics course, MSc Data Science, i3S Faculty, Sapienza University of Rome, but it is open to everyone.

Info: Paolo Tieri, paolo.tieri@cnr.it

CNR, Institute for Applied Computing, Rome

Bioinformatics course, MSc Data Science, i3S Faculty, Sapienza University of Rome