Aging clocks of many varieties have been produced in recent years by applying machine learning techniques to a wide range of biological data that changes with age. This approach yields a tool that is disconnected from our understanding of the mechanisms of aging; links between the forms of cell and tissue damage and dysfunction that drive aging and the measures making up the clocks have yet to be determined. This makes it hard to interpret resul…
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