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洞見 - Disease Progression Modeling
Joint Model with Latent Disease Age for Predicting Amyotrophic Lateral Sclerosis Progression
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.
A Novel Method for Modeling Disease Progression Using Optimal Transport to Infer Event Sequences
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.
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