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Along with the early development and clinical trials of these drugs, and new field of research emerged called\n                    <jats:italic>viral dynamics<\/jats:italic>\n                    , which uses mathematical models to interpret and predict the time\u2010course of viral levels during infection and how they are altered by treatment. In this review, we summarize the contributions that virus dynamics models have made to understanding the pathophysiology of infection and to designing effective therapies. This includes studies of the multiphasic decay of viral load when antiretroviral therapy is given, the evolution of drug resistance, the long\u2010term persistence latently infected cells, and the rebound of viremia when drugs are stopped. We additionally discuss new work applying viral dynamics models to new classes of investigational treatment for\n                    <jats:styled-content style=\"fixed-case\">HIV<\/jats:styled-content>\n                    , including latency\u2010reversing agents and immunotherapy.\n                  <\/jats:p>","DOI":"10.1111\/imr.12698","type":"journal-article","created":{"date-parts":[[2018,8,12]],"date-time":"2018-08-12T01:48:11Z","timestamp":1534038491000},"page":"9-25","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":74,"title":["Insight into treatment of\n                    <scp>HIV<\/scp>\n                    infection from viral dynamics models"],"prefix":"10.1111","volume":"285","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6583-3623","authenticated-orcid":false,"given":"Alison L.","family":"Hill","sequence":"first","affiliation":[{"name":"Program for Evolutionary Dynamics Harvard University Cambridge Massachusetts"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniel I. 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