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dc.creatorRivadeneira Paz, Pablo Santiago-
dc.creatorMoog, Claude H.-
dc.creatorStan, Guy Bart-
dc.creatorBrunet, Cecile-
dc.creatorRaffi, Francois-
dc.creatorFerre, Virginie-
dc.creatorCostanza, Vicente-
dc.creatorMhawej, Marie-
dc.creatorBiafore, Federico Leonardo-
dc.creatorOuattara, Djomangan-
dc.creatorErnst, Damien-
dc.creatorFonteneau, Raphael-
dc.creatorXia, Xiaohua-
dc.date2016-12-13T15:32:17Z-
dc.date2016-12-13T15:32:17Z-
dc.date2014-10-
dc.date2016-12-12T13:45:16Z-
dc.date.accessioned2019-04-29T15:55:15Z-
dc.date.available2019-04-29T15:55:15Z-
dc.identifierRivadeneira Paz, Pablo Santiago; Moog, Claude H.; Stan, Guy Bart; Brunet, Cecile; Raffi, Francois; et al.; Mathematical Modeling of HIV Dynamics After Antiretroviral Therapy Initiation: A Review; Mary Ann Liebert Inc; BioResearch Open Access; 3; 5; 10-2014; 1-9-
dc.identifier2164-7860-
dc.identifierhttp://hdl.handle.net/11336/9260-
dc.identifier.urihttp://rodna.bn.gov.ar:8080/jspui/handle/bnmm/305352-
dc.descriptionThis review shows the potential ground-breaking impact that mathematical tools may have in the analysis and the understanding of the HIV dynamics. In the first part, early diagnosis of immunological failure is inferred from the estimation of certain parameters of a mathematical model of the HIV infection dynamics. This method is supported by clinical research results from an original clinical trial: data just after 1 month following therapy initiation are used to carry out the model identification. The diagnosis is shown to be consistent with results from monitoring of the patients after 6 months. In the second part of this review, prospective research results are given for the design of individual anti-HIV treatments optimizing the recovery of the immune system and minimizing side effects. In this respect, two methods are discussed. The first one combines HIV population dynamics with pharmacokinetics and pharmacodynamics models to generate drug treatments using impulsive control systems. The second one is based on optimal control theory and uses a recently published differential equation to model the side effects produced by highly active antiretroviral therapy therapies. The main advantage of these revisited methods is that the drug treatment is computed directly in amounts of drugs, which is easier to interpret by physicians and patients-
dc.descriptionFil: Rivadeneira Paz, Pablo Santiago. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química (i); Argentina-
dc.descriptionFil: Moog, Claude H.. Centre National de la Recherche Scientifique; Francia-
dc.descriptionFil: Stan, Guy Bart. Imperial College London; Reino Unido-
dc.descriptionFil: Brunet, Cecile. Universite de Nantes; Francia-
dc.descriptionFil: Raffi, Francois. Universite de Nantes; Francia-
dc.descriptionFil: Ferre, Virginie. Universite de Nantes; Francia-
dc.descriptionFil: Costanza, Vicente. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química (i); Argentina-
dc.descriptionFil: Mhawej, Marie. Universite de Nantes; Francia-
dc.descriptionFil: Biafore, Federico Leonardo. Universidad Nacional de San Martin. Escuela de Ciencia y Tecnologia. Centro de Matematica Aplicada; Argentina-
dc.descriptionFil: Ouattara, Djomangan. Centre National de la Recherche Scientifique; Francia-
dc.descriptionFil: Ernst, Damien. Montefiore Institute; Bélgica-
dc.descriptionFil: Fonteneau, Raphael. Montefiore Institute; Bélgica-
dc.descriptionFil: Xia, Xiaohua. University of Pretoria; Sudáfrica-
dc.formatapplication/pdf-
dc.formatapplication/pdf-
dc.formatapplication/pdf-
dc.formatapplication/pdf-
dc.languageeng-
dc.publisherMary Ann Liebert Inc-
dc.relationinfo:eu-repo/semantics/altIdentifier/url/http://online.liebertpub.com/doi/abs/10.1089/biores.2014.0024-
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1089/biores.2014.0024-
dc.rightsinfo:eu-repo/semantics/openAccess-
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/-
dc.sourcereponame:CONICET Digital (CONICET)-
dc.sourceinstname:Consejo Nacional de Investigaciones Científicas y Técnicas-
dc.sourceinstacron:CONICET-
dc.subjectHIV-
dc.subjectside-effects-
dc.subjectoptimal control-
dc.subjectapoptosis-
dc.subjectSistemas de Automatización y Control-
dc.subjectIngeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información-
dc.subjectINGENIERÍAS Y TECNOLOGÍAS-
dc.titleMathematical Modeling of HIV Dynamics After Antiretroviral Therapy Initiation: A Review-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.typeinfo:ar-repo/semantics/articulo-
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