Personalized federated learning for predicting disability progression in multiple sclerosis using real-world routine clinical data

Abstract Early prediction of disability progression in multiple sclerosis (MS) remains challenging despite its critical importance for therapeutic decision-making. We present the first systematic evaluation of personalized federated learning (PFL) for 2-year MS disability progression prediction, lev...

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