14 research outputs found

    Acute HIV Infection in Pregnancy: The Case for Third Trimester Rescreening

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    Combination testing with anti-HIV Elisa and Western blot is both sensitive and specific for diagnosis of established HIV-1 infection but could not detect acute HIV infection (AHI). AHI is a time of extremely high viral load, which may correlate to increased risk of horizontal or vertical transmission. Thus, early identification of AHI could allow for interventions to decrease transmission. However, recognition of AHI can be challenging as symptoms could be absent or nonspecific, therefore, AHI is often not detected, particularly in pregnancy. We present a case report of AHI in a pregnant woman who presented with headache and fever. She tested negative for HIV in the first trimester and at time of AHI at 26 3/7 weeks by anti-HIV Elisa, but was diagnosed with AHI based on an HIV RNA viral load of 434,000 copies/mL. This report presents a case for improved awareness of AHI in pregnancy, and the need for repeat HIV testing in late pregnancy, and highlighted that early detection of AHI might be possible with adding HIV RNA testing at time of standard anti-HIV Elisa screening test in pregnancy. Novel laboratory approaches including pooling of sera for HIV RNA could reduce the cost of HIV RNA testing

    A deep learning approach to photo–identification demonstrates high performance on two dozen cetacean species

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    We thank the countless individuals who collected and/or processed the nearly 85,000 images used in this study and those who assisted, particularly those who sorted these images from the millions that did not end up in the catalogues. Additionally, we thank the other Kaggle competitors who helped develop the ideas, models and data used here, particularly those who released their datasets to the public. The graduate assistantship for Philip T. Patton was funded by the NOAA Fisheries QUEST Fellowship. This paper represents HIMB and SOEST contribution numbers 1932 and 11679, respectively. The technical support and advanced computing resources from University of Hawaii Information Technology Services—Cyberinfrastructure, funded in part by the National Science Foundation CC* awards # 2201428 and # 2232862 are gratefully acknowledged. Every photo–identification image was collected under permits according to relevant national guidelines, regulation and legislation.Peer reviewedPublisher PD
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