Surfing The Web: Web Resources for HIV Type 1 Genotypic-Resistance Test Interpretation

By Tommy F. Liu, R. Shafer. 2006

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Automated subtyping of HIV-1 genetic sequences for clinical and surveillance purposes: performance evaluation of the new REGA version 3 and seven other tools. (2013, methodology): “The performance of the subtyping tools was not evaluated for URFs because of the limited number of sequences available and the complexity to evaluate recombinants when tools such as COMET, Stanford and STAR do not show the recombination breakpoints (Liu and Shafer, 2006; Myers et al., 2005; Struck e”
Investigation of expert rule bases, logistic regression, and non-linear machine learning techniques for predicting response to antiretroviral treatment (2008, unknown): “Many of these systems have been developed and some have evolved into widely used online treatment decision support tools [9].”
Tenofovir-Based Preexposure Prophylaxis for HIV Infection among African Women (2015, unknown): “(%)‡ 611 (12) 122 (12) 117 (12) 127 (13) 116 (12) 129 (13)”
Antiretroviral Therapy Optimisation without Genotype Resistance Testing: A Perspective on Treatment History Based Models (2010, background): “Accordingly, there is a plethora of GRT-based decision systems either for single drug susceptibility scoring or combined ART (cART) optimisation, from rule-based [23,24,25] to machine learning approaches [26,27,28,29,30,31,32].”