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Quantifying Uncertainty in Alzheimer’s Disease Progression Modelling: A Variational Disease Progression Score Framework

2026-08-22

Abstract excerpt

Predicting the course of Alzheimer’s disease for individual patients remains a major challenge due to the heterogeneity of disease expression and the sparsity of longitudinal data. We introduce a variational Disease Progression Score (DPS) framework that maps multimodal biomarker dynamics (Cerebrospinal fluid, neuroimaging, and cognitive assessments) onto a continuous latent timeline with quantified uncertainty. T...

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Literature Corpus work
740760fe-6cd8-5183-9130-fff2ec7a9c8f
DOI
10.64898/2026.08.19.26360855
Open publication

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Quantifying Uncertainty in Alzheimer’s Disease Progression Modelling: A Variational Disease Progression Score FrameworkDOI 10.64898/2026.08.19.26360855
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