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

OBJECTIVES: 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...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Revell, Andrew D., Wang, Dechao, Wood, Robin, Morrow, Carl, Tempelman, Hugo, Hamers, Raph, Alvarez-Uria, Gerardo, Streinu-Cercel, Adrian, Ene, Luminita, Wensing, Annemarie, Reiss, Peter, van Sighem, Ard I., Nelson, Mark, Emery, Sean, Montaner, Julio S. G., Lane, H. Clifford, Larder, Brendan A., van Sighem, Ard, Montaner, Julio, Harrigan, Richard, Rinke de Wit, Tobias, Sigaloff, Kim, Agan, Brian, Marconi, Vincent, Wegner, Scott, Sugiura, Wataru, Zazzi, Maurizio, Gatell, Jose, Lazzari, Elisa, Gazzard, Brian, Pozniak, Anton, Mandalia, Sundhiya, Ruiz, Lidia, Clotet, Bonaventura, Staszewski, Schlomo, Torti, Carlo, Lane, Cliff, Metcalf, Julie, Perez-Elias, Maria-Jesus, Carr, Andrew, Norris, Richard, Hesse, Karl, Vlahakis, Emanuel, Barth, Roos, Dragovic, Gordana, Cooper, David, Baxter, John, Monno, Laura, Clotet, Bonventura, Picchio, Gaston, deBethune, Marie-Pierre
التنسيق: Artigo
اللغة:Inglês
منشور في: Oxford University Press 2014
الموضوعات:
Original Research
الوصول للمادة أونلاين:https://ncbi.nlm.nih.gov/pmc/articles/PMC3956369/
https://ncbi.nlm.nih.gov/pubmed/24275116
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jac/dkt447
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