Computer methods and programs in biomedicineHumansMachine LearningAgingAgedMale
Novel machine learning framework for multidimensional biological age estimation reveals heterogeneous aging of organ systems.
Qi Yu, Lijuan Da, Qian Ma, Yushu Huang, Yue Dong, Yuan Liu, Xiaoyu Li, Xifeng Wu, Zilin Li, Wenyuan Li
Published: 202610.1016/j.cmpb.2025.109176
Abstract
OBJECTIVE: Existing biological age (BA) models often oversimplify aging's complexity, offering single-dimensional metrics. However, these fail to capture the critical heterogeneity of aging across organs.. This study aims to develop a machine learnin…
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