[Mathematical dynamical models for personalized medicine].

Abstract : One of the necessary conditions to perform any personalized medicine is to obtain good individual predictions. In addition to the numerous markers available (omics data), the methods used to analyze the data are very important too. We are presenting an example of mathematical dynamical mechanistic model that could be used for adapting the antiretroviral treatment in patients infected by the human immunodeficiency virus. The interest of this type of approach is to build a model based on biological knowledge about the interaction between markers and therefore to allow for a better predictive power.
Type de document :
Article dans une revue
médecine/sciences, EDP Sciences, 2014, 30 Spec No 2, pp.23-6
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https://hal.inria.fr/hal-01108013
Contributeur : Sandrine Darmigny <>
Soumis le : jeudi 22 janvier 2015 - 09:13:23
Dernière modification le : mercredi 29 novembre 2017 - 15:10:32

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  • HAL Id : hal-01108013, version 1
  • PUBMED : 25407454

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Rodolphe Thiébaut, Mélanie Prague, Daniel Commenges. [Mathematical dynamical models for personalized medicine].. médecine/sciences, EDP Sciences, 2014, 30 Spec No 2, pp.23-6. 〈hal-01108013〉

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