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Bridging the gap between systems biology and medicine

Clermont, Gilles (author)
University of Pittsburgh School of Medicine, PA , USA
Auffray, Charles (author)
CNRS Institute of Biological Sciences, Villejuif Cedex, France
Moreau, Yves (author)
K.U. Leuven, ESAT/SCD, Leuven-Heverlee, Belgium
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Rocke, David M (author)
University of California, Davis, USA
Dalevi, Daniel, 1974 (author)
Chalmers tekniska högskola,Chalmers University of Technology,Chalmers and Göteborg University, Sweden
Dubhashi, Devdatt, 1965 (author)
Chalmers tekniska högskola,Chalmers University of Technology,Chalmers and Göteborg University, Sweden
Marshall, Dana R (author)
Meharry Medical College, Nashville, TN , USA
Raasch, Peter (author)
University of Rostock, Germany
Dehne, Frank (author)
Carleton University, Ottawa, Ontario, Canada
Provero, Paolo (author)
University of Torino, Italy
Tegner, Jesper (author)
Karolinska Institutet
Aronow, Bruce J (author)
University of Cincinnati, OH, USA
Langston, Michael A (author)
University of Tennessee, Knoxville, USA
Benson, Mikael, 1954 (author)
Gothenburg University,Göteborgs universitet,Institutionen för kliniska vetenskaper,Institute of Clinical Sciences,University of Gothenburg,The Unit for Clinical Systems Biology, The Queen Silvia Children's Hospital, Gothenburg, Sweden
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 (creator_code:org_t)
Springer Science and Business Media LLC, 2009
2009
English.
In: Genome Medicine. - : Springer Science and Business Media LLC. - 1756-994X. ; 1:9
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  • Journal article (peer-reviewed)
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  • ABSTRACT : Systems biology has matured considerably as a discipline over the last decade, yet some of the key challenges separating current research efforts in systems biology and clinically useful results are only now becoming apparent. As these gaps are better defined, the new discipline of systems medicine is emerging as a translational extension of systems biology. How is systems medicine defined? What are relevant ontologies for systems medicine? What are the key theoretic and methodologic challenges facing computational disease modeling? How are inaccurate and incomplete data, and uncertain biologic knowledge best synthesized in useful computational models? Does network analysis provide clinically useful insight? We discuss the outstanding difficulties in translating a rapidly growing body of data into knowledge usable at the bedside. Although core-specific challenges are best met by specialized groups, it appears fundamental that such efforts should be guided by a roadmap for systems medicine drafted by a coalition of scientists from the clinical, experimental, computational, and theoretic domains.

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