An AI-based aging score linked to risk and death prediction in heart, kidney, and metabolic conditions

A new aging index, CKMAI, was developed to predict mortality and high-risk cardiovascular-kidney-metabolic status.

• CKM syndrome exhibits significant variability in how it progresses in individuals.
• Existing biological age measures do not specifically address the pathways involved in CKM syndrome.
• Machine learning techniques were utilized to create the CKMAI.
• The CKMAI's effectiveness in predicting mortality and high-risk CKM outcomes was evaluated.

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