Computational models can predict response to HIV therapy without a genotype and may reduce treatment failure in different resource-limited settings
A. D. Revell, B. A. Larder, H. Clifford Lane(National Institute of Allergy and Infectious Diseases), D. Wang, Adrian Streinu‐Cercel(Carol Davila University of Medicine and Pharmacy), F. DeWolf(Stichting HIV Monitoring), Annemarie M. J. Wensing(University Medical Center Utrecht), Robin Wood(Desmond Tutu HIV Foundation), Julio Montaner(University of British Columbia), Luminiţa Ene(Spitalul Clinic Dr. Victor Babes), Raph L Hamers(PharmAccess Group), Mark Nelson(University of Tasmania), Carl Morrow(Desmond Tutu HIV Foundation), Gerardo Alvarez‐Uria(Medical Trust Hospital), H. Tempelman(Right to Care)
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