Aging clock to predict healthspan and disease risks
Aging clocks offer precise measures of biological age, outperforming chronological age in predicting health outcomes and disease risks.
Various aging clocks, including epigenetic, proteomic, metabolomic, and phenotypic clocks, capture distinct aspects of aging, providing comprehensive insights into age-related decline.
Integration of aging clocks with disease prediction models enhances their utility in identifying individuals at high risk of chronic diseases and guiding personalized interventions.
Advances in omics technologies and machine learning enable the development of sophisticated aging clocks that can track aging at the molecular, cellular, and organ levels.
Future research should focus on refining aging clocks to account for interindividual variability, incorporating diverse populations, and exploring the potential of aging clocks in preventive medicine and therapeutic development.
https://www.cell.com/trends/molecular-medicine/fulltext/S1471-4914(25)00257-6
