IW | Genetics and Machine Learning in Epilepsy: Discovery and Applications

This workshop explores how Artificial Intelligence (AI) and advanced genomics can address the clinical heterogeneity of epilepsy. We present an integrated framework spanning large-scale genetic discovery to real-world clinical application. Three complementary approaches are highlighted: (1) multi-generational genome-based multi-omics analysis to elucidate mechanisms of epilepsy; (2) a multimodal deep learning model integrating clinical and genomic data to predict treatment success; and (3) polygenic risk scores (PRS) combined with machine learning to predict disease severity.