Integrative and interpretable machine learning framework for early non-invasive detection of clinically significant liver fibrosis - Top-Institutions - MDSpire

Integrative and interpretable machine learning framework for early non-invasive detection of clinically significant liver fibrosis

  • By

  • Dong Cao

  • Junjie Wang

  • Chenxi Hou

  • Jingyu Zeng

  • Baiyue Tian

  • Yuan Liu

  • Xing Luo

  • Jiaxin Tian

  • Mingbo Zhou

  • Pan Li

  • Huilong Fang

  • Ze Liu

  • Zheng Gong

  • June 23, 2026

  • 0 min

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Top Institutions in Gastroenterology

Brief introduction explaining scope and methodology.

  • #1

    Johns Hopkins Kimmel Cancer Center
    Johns Hopkins Kimmel Cancer Center

    Baltimore, MD

    Key Differentiators

    • Gastroenterology

  • #2

    Division of Gastroenterology and Hepatology
    Division of Gastroenterology and Hepatology

    Unknown, Unknown

    Key Differentiators

    • Gastroenterology

Original Source(s)

Integrative and interpretable machine learning framework for early non-invasive detection of clinically significant liver fibrosis

  • by Dong Cao, Junjie Wang, Chenxi Hou, Jingyu Zeng, Baiyue Tian, Yuan Liu, Xing Luo, Jiaxin Tian, Mingbo Zhou, Pan Li, Huilong Fang, Ze Liu, Zheng Gong

  • June 23, 2026

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