Predicting Response to Antiretroviral Treatment by Machine Learning: The EuResist Project

Clinical Evaluation of the Potential Utility of Computational Modeling as an HIV Treatment Selection Tool by Physicians with Considerable HIV Experience

(2011) Brendan A. Larder et al.   AIDS PATIENT CARE AND STDS

Prediction of response to antiretroviral therapy by human experts and by the EuResist data-driven expert system (the EVE study)

(2010) M Zazzi et al.   HIV MEDICINE

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

(2010) A. D. Revell et al.   JOURNAL OF ANTIMICROBIAL CHEMOTHERAPY

Antiretroviral Therapy Optimisation without Genotype Resistance Testing: A Perspective on Treatment History Based Models

(2010) Mattia C. F. Prosperi et al.   PLoS One

Selecting anti-HIV therapies based on a variety of genomic and clinical factors

(2008) M. Rosen-Zvi et al.   BIOINFORMATICS

Determination of Clinically Relevant Cutoffs for HIV-1 Phenotypic Resistance Estimates Through a Combined Analysis of Clinical Trial and Cohort Data

(2008) Bart Winters et al.   JAIDS-JOURNAL OF ACQUIRED IMMUNE DEFICIENCY SYNDROMES

Comparison of Classifier Fusion Methods for Predicting Response to Anti HIV-1 Therapy

(2008) André Altmann et al.   PLoS One