Machine learning assisted neuropathological assessment of 126 brains from PSEN1 E280A familial Alzheimer’s disease

During the last 25 years we have collected 126 brains from the largest family in the world carrying PSEN1 mutation E280A and suffering from familial Alzheimer’s disease (FAD). Classical neuropathology scales rate all FAD cases as severe, overlooking the degree of heterogeneity observed in these cases. Here we present a new approach involving High Throughput Digital Neuropathology (HTDNp), Machine Learning (ML) classification of pathology, and multidimensional data analysis.