How your DNA reveals your true age with astonishing accuracy
Peer-Reviewed Publication
Updates every hour. Last Updated: 14-Jul-2025 17:11 ET (14-Jul-2025 21:11 GMT/UTC)
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.
Most men who are treated for prostate cancer according to modern guidelines have good survival rates and the majority of these men will die of causes other than prostate cancer. This is revealed in a new study from Uppsala University published in the Journal of the National Comprehensive Cancer Network.
“We were surprised by how much life expectancy affected the prognosis. This shows the importance of a thorough assessment of the general health of a man with newly diagnosed prostate cancer. The patient’s life expectancy has a substantial impact on the choice of appropriate treatment strategy,” says Marcus Westerberg, researcher at the Department of Surgical Sciences at Uppsala University, who led the study.
Researchers have developed an open-source molecular diagnostic assay for pathogen detection, successfully tested for COVID-19. The innovative RT-LAMP method is heat-stable, uses only non-proprietary reagents, and eliminates the need for expensive commercial kits and cold chain storage. Demonstrating performance in both Vienna and Ghana, the low-cost solution has potential for enhancing quick and equitable testing capabilities in resource-limited areas worldwide.