A machine learning integrated multi-omics framework for risk prediction and target discovery in insomnia aggravated sepsis induced acute lung injury - Top-Institutions - MDSpire

A machine learning integrated multi-omics framework for risk prediction and target discovery in insomnia aggravated sepsis induced acute lung injury

  • By

  • Jinquan Zhang

  • Yuwei Zhang

  • Zeyu Liu

  • Xiaona Chen

  • Zhengzheng Yan

  • Zhixia Chen

  • Quan Li

  • June 1, 2026

  • 0 min

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Top Institutions in Pulmonary

Brief introduction explaining scope and methodology.

  • #1

    UCSF Health – University of California, San Francisco
    UCSF Health – University of California, San Francisco

    San Francisco, California

    Key Differentiators

    • Pulmonology
    • Critical Care
    • Sleep Medicine

  • #2

    Johns Hopkins Medicine
    Johns Hopkins Medicine

    Baltimore, Maryland

    Key Differentiators

    • Pulmonology
    • Critical Care

  • #3

    Affiliated Hospital of Jiangsu University
    Affiliated Hospital of Jiangsu University

    Zhenjiang, Jiangsu

    Key Differentiators

    • Pulmonology

  • #4

    Medical Information Mart for Intensive Care-IV (MIMIC-IV)
    Medical Information Mart for Intensive Care-IV (MIMIC-IV)

    Boston, Massachusetts

    Key Differentiators

    • Pulmonology
    • Critical Care

  • #5

    German Burn Registry
    German Burn Registry

    Berlin, Germany

    Key Differentiators

    • Pulmonology

Original Source(s)

A machine learning integrated multi-omics framework for risk prediction and target discovery in insomnia aggravated sepsis induced acute lung injury

  • by Jinquan Zhang, Yuwei Zhang, Zeyu Liu, Xiaona Chen, Zhengzheng Yan, Zhixia Chen, Quan Li

  • June 1, 2026

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