Machine Learning Improves Surgical Decisions for Epilepsy Care
This study looked at how machine learning (ML) can help doctors make better decisions about surgery for people with drug-resistant epilepsy (DRE).
This study looked at how machine learning (ML) can help doctors make better decisions about surgery for people with drug-resistant epilepsy (DRE).
Researchers studied the effects of a treatment called central responsive neurostimulation (RNS) on children with drug-resistant epilepsy (DRE) that affects multiple areas of the brain.
This study looked at how high-frequency activity (HFA) in the brain can help identify neonates (newborns) with seizures and predict their risk of developing epilepsy later on.
Researchers studied the effects of a drug called EQU-001 (ivermectin) on spasms in a rat model of infantile epileptic spasms syndrome (IESS).
This study looked at seizures in children and teenagers with high-grade gliomas, a type of brain tumor.
Researchers studied the use of third-generation anti-seizure medications (ASMs) to treat epilepsy.
This study focused on people in Martinique who experienced status epilepticus (SE), a serious condition where seizures last too long or occur repeatedly without recovery.
A study was conducted to compare two medications, brivaracetam and oxcarbazepine, in treating children with self-limited focal epilepsies (SeLFEs).
Researchers studied sexual dysfunction (SD) in people with epilepsy (PWE) to understand how common it is and what factors contribute to it.