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2021 update to HIV-TRePS: a highly flexible and accurate system for the prediction of treatment response from incomplete baseline information in different healthcare settings.
Revell AD, Wang D, Perez-Elias MJ, Wood R, Cogill D, Tempelman H, Hamers RL, Reiss P, van Sighem A, Rehm CA, Agan B, Alvarez-Uria G, Montaner JSG, Lane HC, Larder BA; RDI study group. Revell AD, et al. J Antimicrob Chemother. 2021 Jun 18;76(7):1898-1906. doi: 10.1093/jac/dkab078. J Antimicrob Chemother. 2021. PMID: 33792714 Free PMC article.
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 AD, Wang D, Wood R, Morrow C, Tempelman H, Hamers R, Alvarez-Uria G, Streinu-Cercel A, Ene L, Wensing A, Reiss P, van Sighem AI, Nelson M, Emery S, Montaner JS, Lane HC, Larder BA; RDI Study Group. Revell AD, et al. J Antimicrob Chemother. 2014 Apr;69(4):1104-10. doi: 10.1093/jac/dkt447. Epub 2013 Nov 24. J Antimicrob Chemother. 2014. PMID: 24275116 Free PMC article.
An update to the HIV-TRePS system: the development and evaluation of new global and local computational models to predict HIV treatment outcomes, with or without a genotype.
Revell AD, Wang D, Wood R, Morrow C, Tempelman H, Hamers RL, Reiss P, van Sighem AI, Nelson M, Montaner JS, Lane HC, Larder BA; RDI Data and Study Group. Revell AD, et al. J Antimicrob Chemother. 2016 Oct;71(10):2928-37. doi: 10.1093/jac/dkw217. Epub 2016 Jun 20. J Antimicrob Chemother. 2016. PMID: 27330070 Free PMC article.
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.
Revell AD, Wang D, Perez-Elias MJ, Wood R, Cogill D, Tempelman H, Hamers RL, Reiss P, van Sighem AI, Rehm CA, Pozniak A, Montaner JSG, Lane HC, Larder BA; RDI Data and Study Group. Revell AD, et al. J Antimicrob Chemother. 2018 Aug 1;73(8):2186-2196. doi: 10.1093/jac/dky179. J Antimicrob Chemother. 2018. PMID: 29889249 Free PMC article.
Computational models can predict response to HIV therapy without a genotype and may reduce treatment failure in different resource-limited settings.
Revell AD, Wang D, Wood R, Morrow C, Tempelman H, Hamers RL, Alvarez-Uria G, Streinu-Cercel A, Ene L, Wensing AM, DeWolf F, Nelson M, Montaner JS, Lane HC, Larder BA; RDI study group. Revell AD, et al. J Antimicrob Chemother. 2013 Jun;68(6):1406-14. doi: 10.1093/jac/dkt041. Epub 2013 Mar 13. J Antimicrob Chemother. 2013. PMID: 23485767 Free PMC article.
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