Bridging data gaps of rare conditions in ICU: a multi-disease adaptation approach for clinical prediction - Top-Institutions - MDSpire

Bridging data gaps of rare conditions in ICU: a multi-disease adaptation approach for clinical prediction

  • By

  • Mingcheng Zhu

  • Yu Liu

  • Zhiyao Luo

  • Tingting Zhu

  • January 3, 2026

  • 0 min

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Top Institutions in Emergency Medicine

Brief introduction explaining scope and methodology.

  • #1

    Massachusetts General Hospital
    Massachusetts General Hospital

    Boston, MA

    Key Differentiators

    • Critical Care Medicine
    • Biomedical Informatics
    • Artificial Intelligence

  • #2

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Critical Care Medicine
    • Biomedical Engineering
    • Machine Learning

  • #3

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

    San Francisco, CA

    Key Differentiators

    • Critical Care Medicine
    • Clinical Informatics
    • Deep Learning

  • #4

    Stanford University
    Stanford University

    Stanford, CA

    Key Differentiators

    • Critical Care Medicine
    • Artificial Intelligence
    • Data Science

  • #5

    Cleveland Clinic
    Cleveland Clinic

    Cleveland, OH

    Key Differentiators

    • Critical Care Medicine
    • Clinical Research
    • Health Data Analytics

Original Source(s)

Bridging data gaps of rare conditions in ICU: a multi-disease adaptation approach for clinical prediction

  • by Mingcheng Zhu, Yu Liu, Zhiyao Luo, Tingting Zhu

  • January 3, 2026

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