2018 update to the HIV-TRePS system: the development of new computational models to predict HIV treatment outcomes, with or without a genotype, with enhanced usability for low-income settings
| Autor: | Revell, Andrew D, Wang, Dechao, Perez-Elias, Maria-Jesus, Wood, Robin, Cogill, Dolphina, Tempelman, Hugo, Hamers, Raph L, Reiss, Peter, van Sighem, Ard I, Rehm, Catherine A, Pozniak, Anton, Montaner, Julio S G, Lane, H Clifford, Larder, Brendan A |
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| Rok vydání: | 2018 |
| Zdroj: | Repositorio Institucional de la Consejería de Sanidad de la Comunidad de Madrid Consejería de Sanidad de la Comunidad de Madrid |
| Popis: | Optimizing antiretroviral drug combination on an individual basis can be challenging, particularly in settings with limited access to drugs and genotypic resistance testing. Here we describe our latest computational models to predict treatment responses, with or without a genotype, and compare their predictive accuracy with that of genotyping. |
| Databáze: | OpenAIRE |
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