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    WRAIR’s SeptiBurnAlert research team reduces the time to diagnose sepsis using genomic data and AI-empowered algorithms [Image 3 of 13]

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    WRAIR’s SeptiBurnAlert research team reduces the time to diagnose sepsis using genomic data and AI-empowered algorithms

    SILVER SPRING, MARYLAND, UNITED STATES

    01.20.2026

    Photo by Sgt. Mike Walters 

    Walter Reed Army Institute of Research

    The SeptBurnAlert team from WRAIR’s Integrated Systems Biology branch meets to discuss recent research updates, on January 20,2026. Sepsis is one of the leading causes of death among patients with burn injury in the United States, but WRAIR’s Integrated Systems Biology (ISB) is leading the charge to save lives. With collaborators at the Burn Center at MedStar Washington Hospital Center, the development of SeptiBurnAlert has reduced the time to diagnose sepsis by more than three days. A single drop of blood from patients admitted to burn ICU can predict the onset of sepsis. This project integrated blood genomics with an AI-empowered algorithm to customize interventions and enhance precision medication.

    IMAGE INFO

    Date Taken: 01.20.2026
    Date Posted: 02.03.2026 13:37
    Photo ID: 9489677
    VIRIN: 260120-A-ET312-1003
    Resolution: 8192x5464
    Size: 11.08 MB
    Location: SILVER SPRING, MARYLAND, US

    Web Views: 1
    Downloads: 0

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