In recent years, researchers have established that machine learning approaches can be used to produce any number of clocks from biological data that shifts with age, finding patterns that match chronological or biological age to a great enough accuracy to suggest that they can be useful assays for the assessment of potential age-slowing and rejuvenating therapies. It remains an open question as to whether and how exactly the assessed patterns correlate to the specific forms of molecular damage that cause aging, or to any of the specific downstream consequences of that damage. Scientists here raise the possibility that much of the epigenetic change of aging may not in fact be as use…
Finding Cautions in the Ease with which it is Possible to Create Epigenetic Clocks
In recent years, researchers have established that machine learning approaches can be used to produce any number of clocks from biological data that shifts with age, finding patterns that match chronological or biological age to a great enough accuracy to suggest that they can be useful assays for the assessment of potential age-slowing and rejuvenating therapies. It remains an open question as to whether and how exactly the assessed patterns correlate to the specific forms of molecular damage that cause aging, or to any of the specific downstream consequences of that damage. Scientists here raise the possibility that much of the epigenetic change of aging may not in fact be as use…