Researchers at the Hebrew University have developed an exceptionally accurate method for predicting chronological age from DNA, based on two short genomic regions. Using deep learning networks analyzing DNA methylation patterns at a single-molecule resolution, they achieve age predictions with a median error as low as 1.36 years in individuals under 50. The method is unaffected by smoking, BMI, and sex, and has potential applications in forensics, aging research, and personalized medicine.
This article was originally published on MedicalXpress.com
