title: [Production and implementation of predictive biological models].
abstract: The production and implementation of methodologies allowing the construction of coherent, precise and trustworthy predictive biological models has become an inescapable necessity. The financial stakes -attached to this reality are very high indeed, be it in the public or the private domains (health, research, pharma and foodstuffs industries, environment, etc.). Modelling biological systems is widely presented as a problem in computational sciences. While certainly very true for low complexity, practically continuous systems, this view cannot be upheld in the case of discontinuous, hyper-complex systems such as living entities. In these domains, modelling becomes a problem in biology assisted by computational sciences and certainly not the obverse. The following article will attempt to demonstrate why it is so, using concrete examples.
authors: Bio-Modeling Systems, 26, rue Saint-Lambert, 75015 Paris, France. francois.iris@bmsystems.net
authors: François
authors: F
authors: Iris
authors: Manuel
authors: M
authors: Gea
authors: Paul-Henri
authors: PH
authors: Lampe
authors: Pablo
authors: P
authors: Santamaria
mesh_terms: D001695:Biology / Q000592:standards / Q000639:trends; D019295:Computational Biology / Q000379:methods* / Q000592:standards; D006262:Health; D006801:Humans; D008954:Models, Biological; D011237:Predictive Value of Tests; D012106:Research / Q000592:standards / Q000639:trends