The HIV Resistance Response Database Initiative (RDI) is made up of a small research team based in the UK, an International Scientific Advisory Group, and a network of collaborators and supporters. The main activities of the RDI are exploring the relationship between changes in the genetic code of HIV (genotype), as well as other clinical and laboratory factors and response to HIV drug therapy, on the basis of which computational models are developed to help physicians and their patients to select the best individualised combination of drugs in situations where resistant measurements are not possible.
The developed models power the RDI's HIV Treatment Response Prediction System (HIV-TRePS), a free online tool enabling informed, individualised treatment decision-making.
» Visit the RDI website
Publications relevant to RDI include:
2017 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 M-J,Wood R Cogill D, Tempelman H,Hamers RL, Reiss P, van Sighem A, Rehm CA, Pozniak A, Montaner JSG, Lane HC & Larder BA on behalf of the RDI study group.
J Antimicrob Chemother. 2018 Aug 1;73(8):2186-2196. doi: 10.1093/jac/dky179.
Computational models as predictors of HIV treatment outcomes for the Phidisa cohort in South Africa
Revell A, Khabo P, Ledwaba L, Emery S, Wang D, Wood R, Morrow C, Tempelman H, Hamers R, Reiss P, van Sighem A, Pozniak A, Montaner J, Lane HC, Larder B.
Southern African Journal of HIV Medicine 2016;1(17). doi: 10.4102/hivmed.v17i1.450
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, Wand D, Wood R, Morrow C, Tempelman H, Hamers RL, Reiss P, van Sighem AI, Nelson M, Montaner JSG, Lane HC, Larder Bam, on behalf of the RDI Data and Study Grou.
Journal of Antimicrobial Chemotherapy 2016; doi: 10.1093/jac/dkw217 » Abstract
The development of an expert system to predict virological response to HIV therapy as part of an on-line treatment support tool.
Revell AD, Wang D, Boyd MA, Emery S, Pozniak AL, De Wolf F, Harrigan PR, Montaner JS, Lane HC, Larder BA; on behalf of the RDI Study Group. AIDS. 2011 Sep 24;25(15):1855-1863. Epub 2011 Jul 21. » Abstract
Clinical evaluation of the potential utility of computational modeling as an HIV treatment selection tool by physicians with considerable HIV experience.
Larder BA, Revell A, Mican JM, Agan BK, Harris M, Torti C, Izzo I, Metcalf JA, Rivera-Goba M, Marconi VC, Wang D, Coe D, Gazzard B, Montaner J, Lane HC, The HIV Resistance Response Database Initiative (RDI).
AIDS Patient Care STDS. 2011 Jan;25(1):29-36. » Abstract