Early Immunological Biomarkers for Personalized Treatment Selection in Severe COVID-19: Post Hoc Machine Learning Analysis of a Randomized Clinical Trial - Top-Institutions - MDSpire

Early Immunological Biomarkers for Personalized Treatment Selection in Severe COVID-19: Post Hoc Machine Learning Analysis of a Randomized Clinical Trial

  • By

  • Symeon Savvopoulos

  • Anastasia Papadopoulou

  • Georgios Karavalakis

  • Ioanna Sakellari

  • Grigorios Georgolopoulos

  • Christos Argyropoulos

  • Evangelia Yannaki

  • Haralampos Hatzikirou

  • June 4, 2026

  • 0 min

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Top Institutions in Infectious Disease

Brief introduction explaining scope and methodology.

  • #1

    Massachusetts General Hospital
    Massachusetts General Hospital

    Boston, Massachusetts

    Key Differentiators

    • Immunology

  • #2

    Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai

    New York, New York

    Key Differentiators

    • Immunology

  • #3

    University Medical Center Hamburg-Eppendorf
    University Medical Center Hamburg-Eppendorf

    Hamburg, Germany

    Key Differentiators

    • Immunology

  • #4

    Hannover Medical School
    Hannover Medical School

    Hannover, Germany

    Key Differentiators

    • Immunology

  • #5

    Radboud University Medical Center
    Radboud University Medical Center

    Nijmegen, Netherlands

    Key Differentiators

    • Immunology

Original Source(s)

Early Immunological Biomarkers for Personalized Treatment Selection in Severe COVID-19: Post Hoc Machine Learning Analysis of a Randomized Clinical Trial

  • by Symeon Savvopoulos, Anastasia Papadopoulou, Georgios Karavalakis, Ioanna Sakellari, Grigorios Georgolopoulos, Christos Argyropoulos, Evangelia Yannaki, Haralampos Hatzikirou

  • June 4, 2026

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