LinAge2: providing actionable insights and benchmarking with epigenetic clocks.
Abstract
Biological aging is marked by a decline in resilience at the cellular and systemic levels, driving an exponential increase in mortality risk. Here, we evaluate several clinical and epigenetic clocks for their ability to predict mortality, demonstrating that clocks trained on survival and functional aging outperform those trained on chronological age. We present an enhanced clinical clock that predicts mortality more accurately and provides actionable insights for guiding personalized interventions. These findings highlight the potential of mortality-predicting clocks to inform clinical decision-making and promote strategies for healthy longevity.
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Research summary
The paper claims that enhanced clinical clocks trained on survival and functional aging can predict mortality more accurately than those based on chronological age. This research is relevant as it addresses the prediction of mortality through biological aging metrics, which can inform interventions aimed at promoting healthy longevity.
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