Computational models as predictors of HIV treatment outcomes for the Phidisa cohort in South Africa
<strong>Background:</strong> 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 th...
| Main Authors: | , , , , , , , , , , , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Health and Medical Publishing Group
2016
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