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

• Ngā kaituhi matua: Andrew Revell (Author), Paul Khabo (Author), Lotty Ledwaba (Author), Sean Emery (Author), Dechao Wang (Author), Robin Wood (Author), Carl Morrow (Author), Hugo Tempelman (Author), Raph L. Hamers (Author), Peter Reiss (Author), Ard van Sighem (Author), Anton Pozniak (Author), Julio Montaner (Author), H. Clifford Lane (Author), Brendan Larder (Author)
• Hōputu: Pukapuka
• I whakaputaina: AOSIS, 2016-06-01T00:00:00Z.
• Ngā marau: article
• Urunga tuihono: Connect to this object online.

Background: Selecting the optimal combination of HIV drugs for an individual in resourcelimited settings is challenging because of the limited availability of drugs and genotyping. Objective: The evaluation as a potential treatment support tool of computational models that predict response to therap...