,:

Chaoran Liu1, Hui Shen2, Kai Zhang1

  • 1Department of Rehabilitation Medicine, Peking University First Hospital, Beijing, China.

Experimental gerontology
|January 13, 2026
PubMed
概括

与年龄相关的肌肉变化可以通过超声波纹理分析和机器学习来识别. 这种非侵入性方法准确地分类年轻人和老年人,并预测肌肉功能.

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