Real-Time Predictions of Reservoir Size and Rebound Time during Antiretroviral Therapy Interruption Trials for HIV

Collection UNKNOWN
Hill, Alison L. ; Rosenbloom, Daniel I. S. ; Goldstein, Edward ; Hanhauser, Emily ; Kuritzkes, Daniel R. ; Siliciano, Robert F. ; J. Henrich, Timothy (2016)
  • Publisher: Figshare
  • Related identifiers: doi: 10.1371/journal.ppat.1005535
  • Subject: Medicine | Molecular Biology | Biotechnology | Immunology | Cancer | Infectious Diseases | Virology | allogeneic hematopoietic | rebound | hiv monitoring | reservoir size | interruption studies | reservoir assays | load sampling | rebound time | antiretroviral therapy | estimate treatment effects | cell transplants | patient outcomes | treatment cessation | load assays | modeling tools | trial size | hiv researchers | laboratory assays | antiretroviral therapy interruption trials | reservoir dynamics
    • FOR: 19999 Mathematical Sciences not elsewhere classified | 80699 Information Systems not elsewhere classified

<div><p>Monitoring the efficacy of novel reservoir-reducing treatments for HIV is challenging. The limited ability to sample and quantify latent infection means that supervised antiretroviral therapy (ART) interruption studies are generally required. Here we introduce a... View more
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