Machine Learning Bolsters Evidence That D1, Nef, and Tat Influence HIV Reservoir Dynamics

• Auteurs principaux: LaMont Cannon (Auteur), Sophia Fehrman (Auteur), Marilia Pinzone (Auteur), Sam Weissman (Auteur), Una O'Doherty (Auteur)
• Format: Livre
• Publié: Case Western Reserve University, 2024-01-01T00:00:00Z.
• Sujets: article
• Accès en ligne: Connect to this object online.

Background: The primary hurdle to curing HIV is due to the establishment of a reservoir early in infection. In an effort to find new treatment strategies, we and others have focused on understanding the selection pressures exerted on the reservoir by studying how proviral sequences change over time....