Enabling multiscale modeling in systems medicine: From reactions in cells to organ physiology - Archive ouverte HAL Access content directly
Journal Articles Genome Medicine Year : 2014

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

(1, 2) , (3) , (4) , (5, 6) , (7) , (5) , (8) , (9) , (10) , (11) , (12) , (13, 14) , (1) , (5) , (15) , (16, 17) , (18) , (19) , (20) , (21)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21

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.
Fichier principal
Vignette du fichier
WolkenhauerGenomeMedicine2014.pdf (135.19 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01109002 , version 1 (23-01-2015)

Licence

Attribution - CC BY 4.0

Identifiers

  • HAL Id : hal-01109002 , version 1

Cite

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, 2014, Genome Medicine, 6 (21), pp.3. ⟨hal-01109002⟩
3288 View
158 Download

Share

Gmail Facebook Twitter LinkedIn More