Bayesian meta-learning for modeling Alzheimer's disease progression 事件

Bayesian meta-learning for modeling Alzheimer's disease progression arXiv:2606.02228v1 Announce Type: cross Abstract: 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. Classical statistical regression models and single-ta