Fig. 1

Study setup. A Clustering of MMSE scores to classify subjects as Fast and Moderate Decliners (FD and MD, respectively). B Baseline AT(N) biomarkers including CSF Aβ (A), CSF p-tau (T), and FDG-PET along with T1-weighted images (N), from a cohort of subjects with prodromal and clinical AD (n = 321, augmented to 1104) were used to train the deep learning models for FD/MD prediction. C The predicted cognitive progression phenotypes in the test set (n_test = 97) were also examined for overlap with putative atrophy-based AD subtypes