Epilepsy in children is a chronic neurological condition characterised by two or more unprovoked, recurring seizures resulting from sudden, abnormal electrical activity in the brain, affecting ...

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Abstract: In this work, we propose a novel hybrid architecture for epileptic seizure prediction, utilizing a deep learning approach by stacking the convolutional neural network (CNN) and bidirectional ...

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We were unable to process your request. Please try again later. If you continue to have this issue please contact customerservice@slackinc.com. Azetukalner is a novel Kv7 channel opener. Monthly focal ...

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Clinically meaningful efficacy demonstrated in the 8-week follow-up period (weeks 9-16), with a 90% median reduction in clinical seizures over baseline in weeks 9-12 and a 59% median reduction in ...

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Abstract: Epilepsy is a recurrent neurological disorder, and nearly 30% of patients with epilepsy continue to experience symptoms despite taking anti-epileptic drugs. Predicting epileptic seizures ...

Azetukalner data show significant reductions in seizure frequency across weekly, monthly and multi-year time points X-TOLE2 data featured in Late-breaking Science session show 53.2% reduction in ...