News-Medical.Net October 6, 2024
Using the next-generation CheekAge clock, scientists can now accurately predict mortality by analyzing cheek cells, offering new insights into aging and health risk assessment. This breakthrough could reshape the future of personalized health monitoring.
In a recent study published in Frontiers in Aging, researchers utilize CheekAge, a next-generation epigenetic clock, to predict mortality risk.
About epigenetic clocks
An epigenetic aging clock is a machine-learning model that predicts chronological age based on DNA methylation. DNA methylation primarily occurs on dinucleotides formed by cytosines followed by guanine residues (CpG).
Epigenetic clocks can be trained to determine chronological age or predict health outcomes at the population level. First-generation clocks are often used in forensic investigations, as they have been trained to predict chronological...
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