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Article

Computational models can predict response to HIV therapy without a genotype and may reduce treatment failure in different resource-limited settings

13 Mar 2013

Abstract excerpt

OBJECTIVES: Genotypic HIV drug-resistance testing is typically 60%-65% predictive of response to combination antiretroviral therapy (ART) and is valuable for guiding treatment changes. Genotyping is unavailable in many resource-limited settings (RLSs). We aimed to develop models that can predict response to ART without a genotype and evaluated their potential as a treatment support tool in RLSs. METHODS: Random...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 23485767
DOI: 10.1093/jac/dkt041

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