DagRep.7.11.130.pdf
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Addressing the Computational Challenges of Personalized Medicine (Dagstuhl Seminar 17472)
Authors and all authors of the abstracts in this report
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Dagstuhl Reports, Volume 7, Issue 11
Volume: Dagstuhl Reports, Volume 7
Journal: Dagstuhl Reports (DagRep) - License:
Creative Commons Attribution 3.0 Unported license
- Publication Date: 2018-03-28
Cite As Get BibTex
Niko Beerenwinkel, Holger Fröhlich, and Susan A. Murphy. Addressing the Computational Challenges of Personalized Medicine (Dagstuhl Seminar 17472). In Dagstuhl Reports, Volume 7, Issue 11, pp. 130-141, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)
https://doi.org/10.4230/DagRep.7.11.130
Abstract
This report provides an overview of the talks and the working group reports from the Dagstuhl Seminar 17472 "Addressing the Computational Challenges of Personalized Medicine". The seminar brought together leading computational scientists with different backgrounds and perspectives in order to allow for a cross-fertilizing and stimulating discussion. It thus joined expertise that is usually scattered in different research communities. In addition, selected medical researchers, pharmacogenomics researchers and behavioral scientists provided their input and established the link of the computational to the more medical aspects of personalized medicine (PM). The talks and corresponding discussion spanned mainly three areas: 1) how to enhance prediction performance of computational models for PM; 2) how to improve their interpretability; 3) how to validate and implement them in practice.
Subject Classification
Keywords
- data science
- machine learning
- computational modeling
- bioinformatics
- systems biology
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