Integrating multi-omics and machine learning systematically deciphers cellular heterogeneity and fibrotic regulatory networks in the progression from MASLD to MASH - Top-Institutions - MDSpire

Integrating multi-omics and machine learning systematically deciphers cellular heterogeneity and fibrotic regulatory networks in the progression from MASLD to MASH

  • By

  • Weiheng Wen

  • Zenghui Liu

  • Wenliang Tan

  • Yingzheng Tan

  • Wei Li

  • Jian Wan

  • Hongsai Hu

  • Zhengwu Jiang

  • Xing Tang

  • Jing Yang

  • Jiao Xiao

  • Xiongjin Tan

  • Xun Chen

  • Peili Wu

  • Yukun Li

  • January 16, 2026

  • 0 min

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Top Institutions in Gastroenterology

Brief introduction explaining scope and methodology.

  • #1

    Massachusetts General Hospital
    Massachusetts General Hospital

    Boston, MA

    Key Differentiators

    • Hepatology
    • Computational Biology
    • Genomics

  • #2

    University of California, San Diego
    University of California, San Diego

    San Diego, CA

    Key Differentiators

    • Hepatology
    • Systems Biology
    • Machine Learning

  • #3

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

    New York, NY

    Key Differentiators

    • Hepatology
    • Genomics
    • Bioinformatics

  • #4

    University of California, San Francisco
    University of California, San Francisco

    San Francisco, CA

    Key Differentiators

    • Hepatology
    • Molecular Biology
    • Computational Medicine

  • #5

    Stanford University
    Stanford University

    Stanford, CA

    Key Differentiators

    • Hepatology
    • Genomics
    • Machine Learning

Original Source(s)

Integrating multi-omics and machine learning systematically deciphers cellular heterogeneity and fibrotic regulatory networks in the progression from MASLD to MASH

  • by Weiheng Wen, Zenghui Liu, Wenliang Tan, Yingzheng Tan, Wei Li, Jian Wan, Hongsai Hu, Zhengwu Jiang, Xing Tang, Jing Yang, Jiao Xiao, Xiongjin Tan, Xun Chen, Peili Wu, Yukun Li

  • January 16, 2026

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