Enabling multiscale modeling in systems medicine: From reactions in cells to organ physiology

Olaf Wolkenhauer 1, 2 Charles Auffray 3 Olivier Brass 4 Jean Clairambault 5, 6 Andreas Deutsch 7 Dirk Drasdo 5 Francesco Gervasio 8 Luigi Preziosi 9 Philip Maini 10 Anna Marciniak-Czochra 11 Christina Kossow 12 Lars Kuepfer 13, 14 Katja Rateitschak 1 Ignacio Ramis-Conde 5 Benjamin Ribba 15 Andreas Schuppert 16 Rod Smallwood 17 Georgios Stamatakos 18 Felix Winter 19 Helen Byrne 20
Abstract : Systems medicine is an interdisciplinary approach that integrates data from basic research and clinical practice to improve our understanding and treatment of diseases. Systems medicine can be seen as a further development of systems biology and bioinformatics towards applica-tions of clinical relevance. The term 'systems' refers to systems approaches, emphasizing a close integration of data generation with mathematical modeling [1-3]. The (mal)functioning of the human body is a complex process, characterized by multiple interactions between systems that act across multiple levels of structural and functional organization -from molecular reactions to cell-cell interac-tions in tissues to the physiology of organs and organ systems. Over the past decade, we have gained detailed insights into the structure and function of molecular, cellu-lar and organ-level systems, with technologies playing an important role in the generation of data at these different scales.
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Genome Medicine, BioMed Central, 2014, Genome Medicine, 6 (21), pp.3. 〈http://genomemedicine.com〉
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Olaf Wolkenhauer, Charles Auffray, Olivier Brass, Jean Clairambault, Andreas Deutsch, et al.. Enabling multiscale modeling in systems medicine: From reactions in cells to organ physiology. Genome Medicine, BioMed Central, 2014, Genome Medicine, 6 (21), pp.3. 〈http://genomemedicine.com〉. 〈hal-01109002〉

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