Article

Adapting Biomedical Foundation Models for Predicting Outcomes of Anti Seizure Medications

2025-08-11

Abstract excerpt

Epilepsy affects over 50 million people worldwide, with anti-seizure medications (ASMs) as the primary treatment for seizure control. However, ASM selection remains a “trial and error” process due to the lack of reliable predictors of effectiveness and tolerability. While machine learning approaches have been explored, existing models are limited to predicting outcomes only for ASMs encountered during training and...

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Literature Corpus work: 051d19a2-7417-58e1-86c5-ac5f45717ed8
DOI: 10.1101/2025.08.07.25333198

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