This symposium is the third in an annual series of events presenting the latest results from research in Data Science for Personalized Medicine (DS4PM) 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.
As invited speaker, it features Joaquin Dopazo, head of the Computational Genomics Department, CIPF, Valencia, Spain.
Personalized Medicine mainly aims at translating a patient’s genetic, other biomolecular or clinical information into individualized diagnostic or therapeutic decisions that are specifically tuned or optimized toward that patient’s organism.
Success in this endeavor increasingly entails the strong need for methods and techniques from Data Science – a scientific field that unites the latest accomplishments of statistics, mathematics, computer science (informatics) and related areas – to optimally extract the information contained in the data. To meet the current needs in this field, the CeMSIIS at the Medical University of Vienna has created a focused research area bundling expertise at the center for optimal contributions to research projects in personalized medicine – see cemsiis.meduniwien.ac.at/ds4pm.
Program
15:30-15:45
The Research Focus Area DS4PM at CeMSIIS – an Overview
Georg Dorffner, Section for Artificial Intelligence and Decision Support, CeMSIIS, Medical Univ. of Vienna
15:45-16:15
Invited Talk: Models of Signaling Pathways that Predict Patient Outcome and Suggest Individualized Interventions
Jaoquin Dopazo, Computational Genomics Department, CIPF, Valencia, Spain
16:15-16:35
Decision Theory for Hormone Receptors
Michael Kenn, Section for Biosimulation and Bioinformatics, CeMSIIS, Medical Univ. of Vienna
16:35-17:00 Coffee Break
17:00-17:20
Gene Expression Regulation Networks
Wolfgang Schreiner, Section for Biosimulation and Bioinformatics, CeMSIIS, Medical Univ. of Vienna
17:20-17:40
From a Clinical Need to a New Targeted Therapy Candidate – an Example in Ovarian Cancer
Dietmar Pils, Section for Clinical Biometrics, CeMSIIS, and Medical Univ. of Vienna
17:40-18:00
From Large-Scale Observational Healthcare Data to Personalized Medicine
Peter Klimek, Section for Science of Complex Systems, CeMSIIS, Medical University of Vienna
18:00-18:05
Announcements
Georg Dorffner, Section for Artificial Intelligence and Decision Support, CeMSIIS, Medical Univ. of Vienna
18:05-19:00
Drinks and Networking