Before revision:  As opposed to current deep learning approaches, DKT is interpretable, which allowsus to understand underlying disease mechanisms. Here we demonstrate DKT on Alzheimer's disease (AD) variants and its ability to predict trajectories for multimodal biomarkers in Posterior Cortical Atrophy (PCA), in lack of such data from PCA subjects .
After revision:  Our proposed method allows, for the first time, the estimation of plausible, multimodal biomarker trajectories in Posterior Cortical Atrophy (PCA), in lack of such data from PCA subjects .