Andrew D. Revell

London, ENG, United Kingdom

Last Updated: 09/26/2026

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Found 12 publications

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.

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.

Journal: The Journal of antimicrobial chemotherapy

Published: October 09, 2020

Predicting Virological Response to HIV Treatment Over Time: A Tool for Settings With Different Definitions of Virological Response.

Predicting Virological Response to HIV Treatment Over Time: A Tool for Settings With Different Definitions of Virological Response.

Journal: Journal of acquired immune deficiency syndromes (1999)

Published: March 14, 2019

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 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.

Journal: The Journal of antimicrobial chemotherapy

Published: December 14, 2017

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.

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.

Journal: The Journal of antimicrobial chemotherapy

Published: January 28, 2016

Computational models as predictors of HIV treatment outcomes for the Phidisa cohort in South Africa.

Computational models as predictors of HIV treatment outcomes for the Phidisa cohort in South Africa.

Journal: Southern African journal of HIV medicine

Published: November 12, 2015

A comparison of computational models with and without genotyping for prediction of response to second-line HIV therapy.

A comparison of computational models with and without genotyping for prediction of response to second-line HIV therapy.

Journal: HIV medicine

Published: February 24, 2014

An update to the HIV-TRePS system: the development of new computational models that do not require a genotype to predict HIV treatment outcomes.

An update to the HIV-TRePS system: the development of new computational models that do not require a genotype to predict HIV treatment outcomes.

Journal: The Journal of antimicrobial chemotherapy

Published: November 27, 2013

Potential impact of a free online HIV treatment response prediction system for reducing virological failures and drug costs after antiretroviral therapy failure in a resource-limited setting.

Potential impact of a free online HIV treatment response prediction system for reducing virological failures and drug costs after antiretroviral therapy failure in a resource-limited setting.

Journal: BioMed research international

Published: April 22, 2013

Computational models can predict response to HIV therapy without a genotype and may reduce treatment failure in different resource-limited settings.

Computational models can predict response to HIV therapy without a genotype and may reduce treatment failure in different resource-limited settings.

Journal: The Journal of antimicrobial chemotherapy

Published: March 15, 2013

The use of computational models to predict response to HIV therapy for clinical cases in Romania.

The use of computational models to predict response to HIV therapy for clinical cases in Romania.

Journal: Germs

Published: December 13, 2011

The development of an expert system to predict virological response to HIV therapy as part of an online treatment support tool.

The development of an expert system to predict virological response to HIV therapy as part of an online treatment support tool.

Journal: AIDS (London, England)

Published: July 26, 2011

Modelling response to HIV therapy without a genotype: an argument for viral load monitoring in resource-limited settings.

Modelling response to HIV therapy without a genotype: an argument for viral load monitoring in resource-limited settings.

Journal: The Journal of antimicrobial chemotherapy

Published: February 16, 2010

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Last Updated: 09/26/2026