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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

2018; Oxford University Press; Volume: 73; Issue: 8 Linguagem: Inglês

10.1093/jac/dky179

1460-2091

Andrew Revell, Dechao Wang, María Jesús Pérez‐Elías, Robin Wood, Dolphina Cogill, Hugo Tempelman, Raph L Hamers, Peter Reiss, Ard I. van Sighem, Catherine Rehm, Anton Pozniak, Julio Montaner, H. Clifford Lane, Brendan Larder, Peter Reiss, Ard van Sighem, Julio Montaner, Richard Harrigan, Tobias Rinke de Wit, Raph L Hamers, Kim Sigaloff, Brian K. Agan, Vincent C. Marconi, Scott A. Wegner, Wataru Sugiura, Maurizio Zazzi, Rolf Kaiser, Eugen Schuelter, Adrian Streinu‐Cercel, Gerardo Alvarez‐Uria, María Jesús Pérez‐Elías, Túlio de Oliveira, José M. Gatell, Elisa de Lazzari, Brian Gazzard, Mark Nelson, Anton Pozniak, Sundhiya Mandalia, Colette Smith, Lı́dia Ruiz, Bonaventura Clotet, Schlomo Staszewski, Carlo Torti, Cliff Lane, Julie A. Metcalf, Catherine Rehm, María Jesús Pérez‐Elías, Stefano Vella, Gabrielle Dettorre, Andrew Carr, R. P. Norris, Karl Hesse, Emanuel Vlahakis, Hugo Tempelman, Roos E. Barth, Robin Wood, Carl Morrow, Dolphina Cogill, Christopher J. Hoffmann, Luminiţa Ene, Gordana Dragović, Ricardo S. Diaz, Cecília Sucupira, Omar Sued, Carina César, Juan Sierra Madero, Pachamuthu Balavskrishnan, Shanmugam Saravanan, Sean Emery, D. James Cooper, Carlo Torti, John D. Baxter, Laura Monno, Carlo Torti, José M. Gatell, B. Clotet, Gastón Picchio, Marie-Pierre deBethune, María Jesús Pérez‐Elías, Sean Emery, Paul Khabo, Lotty Ledwaba,

HIV/AIDS Research and Interventions

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.