Cutting-Edge AI Techniques Predict Brain Age with Unprecedented Accuracy
Recent advancements in understanding brain age and health signal a transformative leap in diagnosing and potentially combating neurological diseases such as Alzheimer’s and dementia. Through the pioneering efforts of researchers Curtis Johnson and Austin Brockmeier at the University of Delaware (UD), a new method employing artificial intelligence and magnetic resonance elastography (MRE) is revolutionizing how scientists measure brain aging and deterioration. By accurately mapping brain stiffness and volume, the team provides a groundbreaking tool that aligns predictive accuracy with practical applicability for early identification of neurological disorders.