Latest Seizure prediction Stories
A UT Arlington assistant engineering professor has developed a computational model that can more accurately predict when an epileptic seizure will occur next based on the patient’s personalized medical information.
A device that could predict when a person with epilepsy might next have a seizure is one step closer to reality thanks to the development of software by researchers in the USA.
Researchers writing in the journal Lancet Neurology say they have been able to accurately predict epilepsy seizures in humans for the first time.
- Having no light.
- Of or relating to the region of a body of water that is not reached by sunlight and in which photosynthesis is unable to occur.