Scientists Use Machine Learning to Develop an Epigenetic Clock for Predicting Biological Age Better
In the quest to unravel the mysteries of aging, scientists have long turned to our genetic code for answers. While machine learning models have offered insights into predicting biological age, understanding the causal factors behind aging has yet to be discovered. However, a groundbreaking study has now shed light on the hidden workings of aging by delving deep into the intricate realm of epigenetics. Scientists at Brigham and Women’s Hospital, part of Mass General Brigham, have developed an innovative “epigenetic [more…]
