AI RESEARCH
Bayesian meta-learning for modeling Alzheimer's disease progression
arXiv CS.LG
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ArXi:2606.02228v1 Announce Type: cross Predicting whether an individual with Alzheimer's disease will experience mild or severe disease progression is essential for personalized treatment. Typically, practitioners seek to predict the distribution of a discrete disease score, conditional on an individual's current MRI volume and their historical disease trajectory.