Machine learning approaches identify immunologic signatures of total and intact HIV DNA during long-term antiretroviral therapy.
L. Semenova, Y. Wang, S. D. Falcinelli, N. Archin, A. D. Cooper-Volkheimer, N. Goonetilleke, D. M. Murdoch, C. D. Rudin, D. M. Margolis, E. P. Browne
The paper uses machine learning to analyze HIV reservoir and immunology data to identify immune signatures associated with total and intact HIV DNA levels during ART.
bioRxiv · Nov 16, 2023Microbiology