Whither systems medicine?

Rolf Apweiler, Tim Beissbarth, Michael R. Berthold, Nils Bluethgen, Yvonne Burmeister, Olaf Dammann, Andreas Deutsch, Friedrich Feuerhake, Andre Franke, Jan Hasenauer, Steve Hoffmann, Thomas Hoefer, Peter L. M. Jansen, Lars Kaderali, Ursula Klingmueller, Ina Koch, Oliver Kohlbacher, Lars Kuepfer, Frank Lammert, Dieter MaierNico Pfeifer, Nicole Radde, Markus Rehm, Ingo Roeder, Julio Saez-Rodriguez, Ulrich Sax, Bernd Schmeck, Andreas Schuppert, Bernd Seilheimer, Fabian J. Theis, Julio Vera, Olaf Wolkenhauer*

*Corresponding author for this work

Research output: Contribution to journal(Systematic) Review article peer-review

Abstract

New technologies to generate, store and retrieve medical and research data are inducing a rapid change in clinical and translational research and health care. Systems medicine is the interdisciplinary approach wherein physicians and clinical investigators team up with experts from biology, biostatistics, informatics, mathematics and computational modeling to develop methods to use new and stored data to the benefit of the patient. We here provide a critical assessment of the opportunities and challenges arising out of systems approaches in medicine and from this provide a definition of what systems medicine entails. Based on our analysis of current developments in medicine and healthcare and associated research needs, we emphasize the role of systems medicine as a multilevel and multidisciplinary methodological framework for informed data acquisition and interdisciplinary data analysis to extract previously inaccessible knowledge for the benefit of patients.

Original languageEnglish
Article number453
Number of pages6
JournalExperimental and Molecular Medicine
Volume50
Issue number3
DOIs
Publication statusPublished - 2 Mar 2018

Keywords

  • SINGLE-CELL ANALYSIS
  • COLORECTAL-CANCER
  • BIG DATA
  • PHARMACOLOGY
  • BIOLOGY
  • GENERATION
  • MECHANISMS
  • MODELS
  • TOOLS
  • Humans
  • Translational Medical Research
  • Decision Support Systems, Clinical
  • Systems Analysis
  • Biomedical Research

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