Explainable AI multiomics analysis reveals shared and divergent host responses in COVID-19 and influenza - Top-Institutions - MDSpire

Explainable AI multiomics analysis reveals shared and divergent host responses in COVID-19 and influenza

  • By

  • Yan Zhang

  • Lining Zhang

  • Zehong Zhang

  • Yuxi Lin

  • Zexu Jiang

  • Fulong Yu

  • January 27, 2026

  • 0 min

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Top Institutions in Pulmonary

Brief introduction explaining scope and methodology.

  • #1

    Broad Institute of MIT and Harvard
    Broad Institute of MIT and Harvard

    Cambridge, MA

    Key Differentiators

    • Genomics
    • Infectious Diseases
    • Computational Biology

  • #2

    National Institute of Allergy and Infectious Diseases (NIAID), NIH
    National Institute of Allergy and Infectious Diseases (NIAID), NIH

    Bethesda, MD

    Key Differentiators

    • Immunology
    • Infectious Diseases
    • Translational Research

  • #3

    University of Washington
    University of Washington

    Seattle, WA

    Key Differentiators

    • Infectious Diseases
    • Genomics
    • Systems Biology

  • #4

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Infectious Diseases
    • Immunology
    • Clinical Research

  • #5

    University of California, San Francisco (UCSF)
    University of California, San Francisco (UCSF)

    San Francisco, CA

    Key Differentiators

    • Immunology
    • Infectious Diseases
    • Computational Biology

Original Source(s)

Explainable AI multiomics analysis reveals shared and divergent host responses in COVID-19 and influenza

  • by Yan Zhang, Lining Zhang, Zehong Zhang, Yuxi Lin, Zexu Jiang, Fulong Yu

  • January 27, 2026

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