One in five epilepsy patients has uncontrolled seizures due to brain abnormalities too subtle for doctors to spot.

An emerging type of artificial intelligence could improve the detection of seizures in epilepsy patients thanks to its ...

New research from Michigan State University focuses on diagnostic delays experienced by people with epilepsy, a neurological disorder characterized by unpredictable seizures that affects over 3 ...

AI model MELD Graph improves epilepsy lesion detection, outperforming current methods—enhancing diagnosis and treatment ...

and scans indicate a structural brain abnormality is the cause, surgery may be suggested. Read more about epilepsy: First UK child to have epilepsy device fitted in his brain has huge reduction in ...

This manuscript addresses the role of alpha oscillations in sensory gain control. The authors use an attention-cuing task in an initial EEG study followed by a separate MEG replication study to ...

The Epi-Scot study, led by the University of Glasgow and NHS Greater Glasgow & Clyde, will investigate childhood epilepsy in Scotland.

Cumulus will work with researchers at the universities of Bristol and Bath on a major 1,000-subject study of the three-minute Fastball EEG test, which measures brain activity while subjects watch ...

Biotech startup uses AI analysis of a ‘brain-on-a-chip’ made from stem cells to predict drug efficacy for neuropsychiatric ...

The software, known as Meld Graph, was developed by scientists at King’s College London and University College London.