SkeletAge, a Skeletal Muscle Transcriptomic Aging Clock

Source https://www.fightaging.org/archives/2025/08/skeletage-a-skeletal-muscle-transcriptomic-aging-clock/

Aging clocks can be manufactured using machine learning techniques from any sufficiently complex set of biological data obtained from people of different ages. An algorithm is found that maps age-related changes in the data to chronological age, on average. When that algorithm is applied to an individual not in the data set, the predicted age is called a biological age. Higher biological ages predicted by a clock usually correlate fairly well to risk of disease and mortality. Given the relatively low cost involved in creating clocks, new clocks are being produced at a rapid pace. It remains to be seen as to which of the many clocks created over the past decade or so prove to be useful enough in some context to be broadly adopted.

Identifying the set of genes that regulate baseline he…

What Do You Think?

comments