This paper introduces a novel joint modeling approach using a latent disease age to predict Amyotrophic Lateral Sclerosis (ALS) progression, overcoming limitations of traditional models reliant on unreliable reference times like symptom onset.
This paper introduces the variational event-based model (vEBM), a novel approach leveraging optimal transport theory to model disease progression as a sequence of events, enabling faster inference and analysis of high-dimensional data like pixel-level brain images.