to CeMSIIS? research focus area Data Science for Personalized Medicine (DS4PM).

Personalized Medicine mainly aims at translating a patient?s genetic or other biomolecular information into individualized diagnostic or therapeutic decisions that are specifically tuned or optimized toward that patient?s organism.

Data Science brings together fields like statistics, mathematics, or computer science for advanced data analysis and modelling to support the goals of personalized medicine.

On the following pages, information on background, vision and mission of the research focus area, methodology and current and past projects can be found. The research focus area is supported by all Sections of CeMSIIS; a list of all members of its core group is available at the collaboration page.

SYMPOSIUM: "Deep Insights and New Results"

Wednesday, June 20, 2018, 10:30-13:00

This symposium will be the fourth in an annual series of events presenting the latest results from research in Data Science for Personalized Medicine at the Center for Medical Statistics, Informatics and Intelligent Systems (CeMSIIS), their partner institutions and beyond. It aims at addressing clinicians, biologists or other life scientists together with researchers from data science in order to spur relevant future research in Vienna and beyond. One focus of his year´s symposium is on machine learning, in particular deep learning, to analyze data in personalized Medicine applications. Featured invited speaker: Prof. Sepp Hochreiter: Institut of Bioinformatics, Johannes Kepler University Linz: "Deep Learning Revolutionizes Pharmaceutical Industry and Medicine" more and agenda (pdf)