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DOI: 10.4230/DagRep.7.11.130
URN: urn:nbn:de:0030-drops-86730
URL: http://drops.dagstuhl.de/opus/volltexte/2018/8673/
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Beerenwinkel,Niko ; Fröhlich, Holger ; Murphy, Susan A.
Weitere Beteiligte (Hrsg. etc.): Niko Beerenwinkel and Holger Fröhlich and Susan A. Murphy

Addressing the Computational Challenges of Personalized Medicine (Dagstuhl Seminar 17472)

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dagrep_v007_i011_p130_17472.pdf (2 MB)


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.

BibTeX - Entry

@Article{beerenwinkel_et_al:DR:2018:8673,
  author =	{Niko Beerenwinkel and Holger Fr{\"o}hlich and Susan A. Murphy},
  title =	{{Addressing the Computational Challenges of Personalized Medicine (Dagstuhl Seminar 17472)}},
  pages =	{130--141},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2018},
  volume =	{7},
  number =	{11},
  editor =	{Niko Beerenwinkel and Holger Fr{\"o}hlich and Susan A. Murphy},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2018/8673},
  URN =		{urn:nbn:de:0030-drops-86730},
  doi =		{10.4230/DagRep.7.11.130},
  annote =	{Keywords: data science, machine learning, computational modeling, bioinformatics, systems biology}
}

Keywords: data science, machine learning, computational modeling, bioinformatics, systems biology
Seminar: Dagstuhl Reports, Volume 7, Issue 11
Issue Date: 2018
Date of publication: 28.03.2018


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