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The optimal individualized selection of antiretroviral drugs in resource-limited settings is challenging because of the limited availability of drugs and genotyping. Here we describe the development of the latest computational models to predict the response to combination antiretroviral therapy without a genotype, for potential use in such settings.

An update to the HIV-TRePS system: the development of new computational models that do not require a genotype to predict HIV treatment outcomes