Predicting future regional tau accumulation in preclinical Alzheimer’s disease

Abstract:

Our machine learning approach combines baseline multimodal data to predict individualised trajectories of future pathological tau accumulation at asymptomatic and mildly impaired stages of Alzheimer’s disease with high accuracy and regional specificity.