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  • Announcing the COVID-19 Risk Factor Modeling Challenge on June 1st

    Identifying and improving our understanding of the risk and protective factors for severe COVID-19 illness is crucial to better protect, triage, and treat at-risk individuals. To date, researchers and medical professionals have identified several risk factors that are associated with greater risk for severe illness from COVID-19, but additional research is needed to better understand the impact these factors have on high-risk individuals. The Veteran population, in particular, has a higher prevalence of several of the known risk factors for severe COVID-19 illness. To improve our understanding of the risk and protective factors in the Veteran population, the VHA Innovation Ecosystem is utilizing the precisionFDA platform to call upon the public to develop machine learning and artificial intelligence models to predict health outcomes using synthetic Veteran health records.

    If you would like to learn more about the challenge and how the VHA Innovation Ecosystem and precisionFDA are working together to improve COVID-19 patient outcomes, please visit the challenge site! Pre-registration for the challenge opens today, and the challenge submission period runs from June 1st through July 1st.

    If you have any questions about the challenge, precisionFDA, or the VHA Innovation Ecosystem, please feel free to post them in this thread, and we will respond as quickly as possible.

Latest Articles

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  • seqadmin
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    by seqadmin


    Despite advancements in sequencing platforms and related sample preparation technologies, certain sample types continue to present significant challenges that can compromise sequencing results. Pedro Echave, Senior Manager of the Global Business Segment at Revvity, explained that the success of a sequencing experiment ultimately depends on the amount and integrity of the nucleic acid template (RNA or DNA) obtained from a sample. “The better the quality of the nucleic acid isolated...
    03-22-2024, 06:39 AM
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    Matthew DeSaix, a recent doctoral graduate from Kristen Ruegg’s lab at The University of Colorado, shared that most of his research...
    03-08-2024, 10:41 AM

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