Machine Learning Model Aims to Predict Epilepsy Treatment Success
This study focused on children with drug-resistant epilepsy, which means their seizures do not respond well to standard medications.
This study focused on children with drug-resistant epilepsy, which means their seizures do not respond well to standard medications.
Researchers looked at how well different studies predict whether people will be seizure-free after having surgery for epilepsy.
Researchers studied deep brain stimulation (DBS) as a treatment for people with epilepsy who do not respond to medications and cannot have surgery to remove the affected brain tissue.
Researchers studied how to treat seizures in newborns, particularly focusing on those who experience seizures shortly after birth.
Researchers studied how to detect unusual patterns in heart and brain activity data, specifically using ECG (heart) and EEG (brain) readings.
This study looked at how well three different neuromodulation techniquesβVagus Nerve Stimulation (VNS), Responsive Neurostimulation (RNS), and Deep Brain Stimulation (DBS)βwork for adults with refractory bitemporal lobe epilepsy (BTLE), which is a type of epilepsy that is hard to treatβ¦
Researchers studied 631 children aged 1 month to 6 years who experienced their first febrile seizure (FS) at Children’s Hospital 2 in Ho Chi Minh City, Vietnam.
Researchers studied the metabolic profiles of people with epilepsy to see if there are common patterns among different groups.
This study focuses on the use of vagus nerve stimulation (VNS) as a treatment for status epilepticus in children, which is a serious condition where seizures last too long or happen back-to-back.