An update to the HIV-TRePS system: the development and evaluation of new global and local computational models to predict HIV treatment outcomes, with or without a genotype

Optimizing antiretroviral drug combination on an individual basis in resource-limited settings is challenging because of the limited availability of drugs and genotypic resistance testing. Here, we describe our latest computational models to predict treatment responses, with or without a genotype, a...

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Veröffentlicht in:	Journal of antimicrobial chemotherapy 2016-10, Vol.71 (10), p.2928-2937
Hauptverfasser:	Revell, Andrew D, Wang, Dechao, Wood, Robin, Morrow, Carl, Tempelman, Hugo, Hamers, Raph L, Reiss, Peter, van Sighem, Ard I, Nelson, Mark, Montaner, Julio S G, Lane, H Clifford, Larder, Brendan A
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Anti-HIV Agents - therapeutic use Antiretroviral Therapy, Highly Active Computer Simulation Genotype Health Resources HIV Infections - drug therapy HIV Infections - epidemiology HIV Infections - virology Humans Models, Statistical Original Research ROC Curve Software South Africa - epidemiology Treatment Outcome Viral Load - drug effects
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