Transfer learning-trained convolutional neural networks identify novel MRI biomarkers of Alzheimer’s disease progression.

Genome-wide association studies (GWAS) for late onset Alzheimer’s disease (AD) may miss genetic variants relevant for delineating disease stages when using clinically defined case/control as a phenotype due to its loose definition and heterogeneity.