RESEARCH ARTICLE Real-Time Predictions of Reservoir Size and Rebound Time during Antiretroviral Therapy Interruption Trials for HIV Alison L. Hill1*, Daniel I. S. Rosenbloom2, Edward Goldstein3, Emily Hanhauser4, Daniel R. Kuritzkes4, Robert F. Siliciano5☯‡, Timothy J. Henrich6☯‡ 1 Program for Evolutionary Dynamics, Department of Mathematics, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United States of America, 2 Department of Biomedical Informatics, Columbia University Medical Center, New York, New York, United States of America, 3 Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America, 4 Division of Infectious Diseases, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States of America, 5 Department of Medicine, Johns Hopkins University School of Medicine and Howard Hughes Medical Institute, Baltimore, Maryland, United States of America, 6 Division of Experimental Medicine, Department of Medicine, University of California, San Francisco, California, United States of America ☯ These authors contributed equally to this work. OPEN ACCESS ‡These authors are joint senior authors on this work. *
[email protected] Citation: Hill AL, Rosenbloom DIS, Goldstein E, Hanhauser E, Kuritzkes DR, Siliciano RF, et al. (2016) Real-Time Predictions of Reservoir Size and Rebound Time during Antiretroviral Therapy Abstract Interruption Trials for HIV. PLoS Pathog 12(4): e1005535. doi:10.1371/journal.ppat.1005535 Monitoring the efficacy of novel reservoir-reducing treatments for HIV is challenging. The Editor: Leor Weinberger, Gladstone Institute (UCSF), limited ability to sample and quantify latent infection means that supervised antiretroviral UNITED STATES therapy (ART) interruption studies are generally required.