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 | Zendy

Andrew Revell | Zendy; Dechao Wang | Zendy; Robin Wood | Zendy; Carl Morrow | Zendy; Hugo Tempelman | Zendy; Raph L Hamers | Zendy; Peter Reiss | Zendy; Ard I. van Sighem | Zendy; Mark Nelson | Zendy; Joan Montaner | Zendy; H. Clifford Lane | Zendy; Brendan Larder | Zendy

Open Access

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

Author(s) -

Andrew Revell,

Dechao Wang,

Robin Wood,

Carl Morrow,

Hugo Tempelman,

Raph L Hamers,

Peter Reiss,

Ard I. van Sighem,

Mark Nelson,

Joan Montaner,

H. Clifford Lane,

Brendan Larder

Publication year - 2016

Publication title -

journal of antimicrobial chemotherapy

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.124

H-Index - 194

eISSN - 1460-2091

pISSN - 0305-7453

DOI - 10.1093/jac/dkw217

Subject(s) - genotype , genotyping , receiver operating characteristic , statistics , human immunodeficiency virus (hiv) , set (abstract data type) , medicine , biology , computer science , immunology , mathematics , genetics , gene , programming language

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, and compare the potential utility of global and local models as a treatment tool for South Africa.

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