A Machine Learning Approach for Estimating Intrinsic Capacity Age and Its Associations with Multimorbidity and Geroprotective Agents.

Carlos Cruz-Montecinos, Joaquín Calatayud, Lars Louis Andersen, Rubén López-Bueno, Luis Peñailillo, Rodrigo Torres-Castro, Fernando Diefenthaeler, Rodrigo Núñez-Cortés

Department of Physical Therapy, Faculty of Medicine, University of Chile, Santiago, Chile. · pubmed

Paper

Abstract

Aging is associated with functional decline and multimorbidity, highlighting the need for holistic biomarkers to monitor healthy aging. The aim of this study was to validate intrinsic capacity age (IC-age) as a biomarker of aging and to examine its association with multimorbidity and geroprotective agents.

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Research summary

The paper claims that intrinsic capacity age (IC-age) can serve as a biomarker for aging and is associated with multimorbidity and geroprotective agents. This research is relevant as it seeks to establish a biomarker that could potentially help in understanding and monitoring the aging process, which is central to longevity research.

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