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An update to the HIV-TRePS system: the development of new computational models that do not require a genotype to predict HIV treatment outcomes.
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.
Affiliation
  • Revell AD; HIV Resistance Response Database Initiative (RDI), London, UK.
J Antimicrob Chemother ; 69(4): 1104-10, 2014 Apr.
Article in En | MEDLINE | ID: mdl-24275116
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Computer Simulation / HIV Infections / HIV / Salvage Therapy / Antiretroviral Therapy, Highly Active / Anti-Retroviral Agents Type of study: Evaluation_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Female / Humans / Male Language: En Journal: J Antimicrob Chemother Year: 2014 Document type: Article Affiliation country: United kingdom
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Computer Simulation / HIV Infections / HIV / Salvage Therapy / Antiretroviral Therapy, Highly Active / Anti-Retroviral Agents Type of study: Evaluation_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Female / Humans / Male Language: En Journal: J Antimicrob Chemother Year: 2014 Document type: Article Affiliation country: United kingdom