An Aging Clock Derived from Brain MRI Data – Fight Aging!

Aging clocks are becoming increasingly sophisticated, with the use of biological data to predict biological age, mortality, and disease risk. Epigenetic clocks, derived from methylation status, have paved the way for various other clocks, including those based on omics data, grip strength, and imaging. Brain scans are now being used to create aging clocks, showing promise in predicting dementia, morbidity, and mortality. This new approach, named DunedinPACNI, offers a unique insight into the longitudinal pace of aging and its correlation with various health outcomes. In comparison to traditional biomarkers, DunedinPACNI shows stronger links to clinical outcomes, making it a valuable tool in aging research and anti-aging strategies.