Ascona Workshop 2013
Statistical Genomics and Data Integration for Personalized Medicine
Scope
Advances in biotechnology have made genome-scale measurements routine. A significant challenge now is to use the vast amount of data generated from these technologies to improve human health. Medicine and drug development has moved from a `one-drug-for-all’ paradigm to more individualized treatment. Personalized medicine is a rapidly developing discipline that aims to improve health outcomes based on highly refined characteristics of individual patients, such as serum biomarkers, genotype, gene expression pattern, and imaging.
This interdisciplinary workshop is intended to be a forum for (i) the dissemination of cutting-edge biotechnological and methodological developments and (ii) the identification of open data analysis problems. Targeted areas for the workshop include: novel clinical trial designs for personalized medicine; statistical and machine learning methods for identifying reproducible biomarkers and genomic signatures, and for risk and outcome prediction; new strategies for analysis and integration of heterogeneous, high-dimensional data types (e.g., microarray, genotype, imaging and sequence data); applications to disease prevention, diagnosis, prognosis and therapy, especially in cancer and infectious diseases (e.g., HIV, HCV); and advances in statistical computing for these problems.
Date
May 12 to 17, 2013
Location
Centro Stefano Franscini, Monte Verita, Ascona, Switzerland
Confirmed keynote speakers
- Keith Baggerly, MD Anderson
- Eytan Domany, Weizmann Institute of Science
- Victor DeGruttola, Harvard SPH
- Cecile Janssens, Emory University
- Sunduz Keles, University of Wisconsin-Madison
- Susan Murphy, University of Michigan
- Chris Sander, Memorial Sloan-Kettering Cancer Center
- Rainer Spang, University of Regensburg
- Terry Speed, Walter and Eliza Hall Institute of Biomedical Research
- Simon Tavare, Cancer Research UK
Program
DownloadAbstracts (PDF, 1.3 MB)
Organizing committee
Niko Beerenwinkel, Darlene Goldstein, Peter Bühlmann
Sponsoring
- Swiss National Science Foundation
- Centro Stefano Franscini
- Swiss Institute of Bioinformatics
- Contact Group for Research Matters (KGF - Kontaktgruppe für Forschungsfragen)
