Israeli researchers create AI tool to predict age from DNA with 1.36-yr accuracy
The method, detailed in Cell Reports, analyzes age-related chemical changes in DNA called methylation, read the statement.
Using just two DNA regions, the tool "MAgeNet" detects molecular aging signs. A deep learning model then predicts age with a median error of only 1.36 years for people under 50, unaffected by smoking, weight or gender, read the statement.
The method could help doctors offer treatments that match a person's biological age rather than their birthdate, facilitate forensic study in determining the age of a suspect with a tiny trace of DNA, and enhance the understanding of the aging process, read the statement.
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