Identification and analysis of diagnostic senescence-related gene signatures for acute myocardial infarction based on multi-omics data and machine learning - Top-Institutions - MDSpire

Identification and analysis of diagnostic senescence-related gene signatures for acute myocardial infarction based on multi-omics data and machine learning

  • By

  • Hanmo Zhang

  • Hongyu Huang

  • Zhuo Jiang

  • Shuangqi Qian

  • Xiandu Jin

  • Zeyan Peng

  • Fan Huang

  • Peipei Li

  • Liping Wei

  • Zhi Qi

  • Xin Qi

  • June 5, 2026

  • 0 min

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Top Institutions in Cardiology

Brief introduction explaining scope and methodology.

  • #1

    Mass General Brigham (Brigham and Women’s Hospital and Massachusetts General Hospital)
    Mass General Brigham (Brigham and Women’s Hospital and Massachusetts General Hospital)

    Boston, Massachusetts

    Key Differentiators

    • Cardiology
    • Multi-Omics
    • Machine Learning
  • #2

    Icahn School of Medicine at Mount Sinai/The Mount Sinai Hospital
    Icahn School of Medicine at Mount Sinai/The Mount Sinai Hospital

    New York, New York

    Key Differentiators

    • Cardiology
    • Genomics
    • Multi-Omics
  • #3

    University of Mississippi Medical Center
    University of Mississippi Medical Center

    Jackson, Mississippi

    Key Differentiators

    • Cardiology
  • #4

    Cedars-Sinai Medical Center
    Cedars-Sinai Medical Center

    Los Angeles, California

    Key Differentiators

    • Cardiology
  • #5

    UK Biobank
    UK Biobank

    Manchester, England

    Key Differentiators

    • Cardiology
    • Epidemiology

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