Novel Four-gene Panel for Detecting Senescence-associated Cell States in Skeletal Muscle Tissue
A machine learning-driven framework to identify senescence-associated cell states in skeletal muscle tissue established a four-gene biomarker panel exhibiting high predictive accuracy, providing a practical tool for investigating sarcopenia pathophysiology and identifying therapeutic targets.