Development and external validation of a composite biomarker-based machine learning model for sarcopenia risk stratification in patients with cardiovascular disease - Top-Institutions - MDSpire

Development and external validation of a composite biomarker-based machine learning model for sarcopenia risk stratification in patients with cardiovascular disease

  • By

  • Pengcheng Mei

  • Tao Ying

  • Jing Wu

  • Han Wang

  • July 9, 2026

  • 0 min

Share

Top Institutions in Cardiology

Brief introduction explaining scope and methodology.

  • #1

    China Health and Retirement Longitudinal Study (CHARLS)
    China Health and Retirement Longitudinal Study (CHARLS)

    Beijing, Beijing

    Key Differentiators

    • Cardiology

  • #2

    English Longitudinal Study of Ageing (ELSA)
    English Longitudinal Study of Ageing (ELSA)

    London, England

    Key Differentiators

    • Cardiology

  • #3

    Chengdu Third People's Hospital
    Chengdu Third People's Hospital

    Chengdu, Sichuan

    Key Differentiators

    • Cardiology

  • #4

    UK Biobank
    UK Biobank

    Manchester, England

    Key Differentiators

    • Cardiology

Original Source(s)

Development and external validation of a composite biomarker-based machine learning model for sarcopenia risk stratification in patients with cardiovascular disease

  • by Pengcheng Mei, Tao Ying, Jing Wu, Han Wang

  • July 9, 2026

Related Content

Percutaneous Closure of Multiple Large Coronary Fistulae and Right Ventricular Outflow Tract Opening to Establish Biventricular Circulation in a Child with Pulmonary Atresia and Intact Ventricular Septum – A Case Report

uFlowAM: an unsupervised framework for detection and visualization of abnormal intracardiac microflow on early-pregnancy fetal cardiac microflow imaging

Comparative analysis of myocardial strain parameters in acute decompensated heart failure phenotypes: a cross-sectional study