This paper is in the following e-collection/theme issue:

Physical Activity for Older People (288) Artificial Intelligence (2168) Medical imaging (116) Innovations in Exercise Rehabilitation (290) Aging with Chronic Disease (179) Aging in Place (392)

Published on in Vol 7 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58175, first published .
Quantifying the Enhancement of Sarcopenic Skeletal Muscle Preservation Through a Hybrid Exercise Program: Randomized Controlled Trial

Quantifying the Enhancement of Sarcopenic Skeletal Muscle Preservation Through a Hybrid Exercise Program: Randomized Controlled Trial

Quantifying the Enhancement of Sarcopenic Skeletal Muscle Preservation Through a Hybrid Exercise Program: Randomized Controlled Trial

Authors of this article:

Hongzhi Guo1 Author Orcid Image ;   Jianwei Cao2 Author Orcid Image ;   Shichun He3 Author Orcid Image ;   Meiqi Wei3 Author Orcid Image ;   Deyu Meng2, 3 Author Orcid Image ;   Ichen Yu2, 4 Author Orcid Image ;   Ziyi Wang3 Author Orcid Image ;   Xinyi Chang5 Author Orcid Image ;   Guang Yang3 Author Orcid Image ;   Ziheng Wang2, 3 Author Orcid Image
Article Authors Cited by (8) Tweetations (3) Metrics

Journals

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  7. Kanapari A, Lorenzoni G, Ocagli H, Gregori D. Current applications and future challenges of machine learning and artificial intelligence in clinical trials: A scoping review. DIGITAL HEALTH 2025;11 View
  8. Luo C, Wu H, Shen X, Han S, Lin L, Liu B. Transitions in Sarcopenia Status and Cognitive Trajectories Among Middle-Aged and Older Adults in China: Longitudinal Cohort Study. JMIR Aging 2025;8:e78277 View