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    Using “ONEST” algorithm to improve reproducibility of PD-L1 assessment by pathologists

    Using “ONEST” algorithm to improve reproducibility of PD-L1 assessment by pathologists

    FromModPath Chat

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    Using “ONEST” algorithm to improve reproducibility of PD-L1 assessment by pathologists

    FromModPath Chat

    ratings:
    Length:
    15 minutes
    Released:
    Sep 1, 2020
    Format:
    Podcast episode

    Description

    A conversation with David Rimm, the author of a recent study on Triple negative breast cancer, on using a novel statistical algorithm (ONEST) to improve reproducibility of PD-L1 assessment by pathologists. Study by Reisenbichler et al, Prospective multi-institutional evaluation of pathologist assessment of PD-L1 assays for patient selection in triple negative breast cancer. Modern Pathology, 2020. https://www.nature.com/articles/s41379-020-0544-x Our GDPR privacy policy was updated on August 8, 2022. Visit acast.com/privacy for more information.
    Released:
    Sep 1, 2020
    Format:
    Podcast episode

    Titles in the series (58)

    ModPath Chat is the official podcast of Modern Pathology, the journal of the US and Canadian Academy of Pathology (USCAP). ModPath Chat features interviews with authors, opinion leaders and experts on the latest science, technology, and developments in the field of pathology. The monthly podcast series is hosted by Dr. George J. Netto, the Editor-in-Chief of Modern Pathology and the Chair of Pathology at the University of Alabama in Birmingham Our GDPR privacy policy was updated on August 8, 2022. Visit acast.com/privacy for more information.