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James O. Kahn

Researcher at Stanford University

Publications -  146
Citations -  13066

James O. Kahn is an academic researcher from Stanford University. The author has contributed to research in topics: Medicine & Viral load. The author has an hindex of 54, co-authored 127 publications receiving 12656 citations. Previous affiliations of James O. Kahn include Memorial Sloan Kettering Cancer Center & San Francisco General Hospital.

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Immune activation set point during early HIV infection predicts subsequent CD4+ T-cell changes independent of viral load.

TL;DR: Data indicate that immunologic activation set point is established early in HIV infection, and that this set point determines the rate at which CD4+ T cells are lost over time.
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Acute Human Immunodeficiency Virus Type 1 Infection

TL;DR: The diagnosis of acute HIV-1 infection requires a high index of clinical suspicion and correct use of specific diagnostic laboratory tests and the potential clinical benefit of early antiretroviral treatment.
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HIV-1 protease inhibitors. A review for clinicians.

TL;DR: A systematic review of peer-reviewed publications, abstracts from national and international conferences, and product registration information through September 1996 is presented in this paper, where the authors assess the available data to aid clinicians and patients in choosing appropriate treatment.
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New Testing Strategy to Detect Early HIV-1 Infection for Use in Incidence Estimates and for Clinical and Prevention Purposes

TL;DR: The sensitive/less sensitive testing strategy provides accurate diagnosis of early HIV-1 infection, provides accurate estimates of HIV- 1 incidence, can facilitate clinical studies of earlyAIDS, and provides information on HIV-2 infection duration for care planning.
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Time trends in primary HIV-1 drug resistance among recently infected persons.

TL;DR: The frequency of primary resistance to NNRTIs is increasing, although resistance to all available classes of antiretroviral therapy remains rare, and genotypic resistance testing in recently infected persons predicts time to viral suppression during therapy.