Epilepsy syndromes classification
Abstract Epilepsy syndromes are distinct electroclinical entities which have been recently defined by the International League Against Epilepsy Nosology and Definitions Task Force. Each syndrome is associated with “a characteristic cluster of clinical and EEG features, often supported by specific etiologic findings”.
Elaine C. Wirrell +4 more
wiley +1 more source
Magnetic Resonance Imaging Assessment of Arrhythmogenic Right Ventricular Cardiomyopathy/Dysplasia in Children [PDF]
Shi‐Joon Yoo +2 more
openalex +1 more source
Precision therapies for genetic epilepsies in 2025: Promises and pitfalls
Abstract By targeting the underlying etiology, precision therapies offer an exciting paradigm shift to improve the stagnant outcomes of drug‐resistant epilepsies, including developmental and epileptic encephalopathies. Unlike conventional antiseizure medications (ASMs) which only treat the symptoms (seizures) but have no effect on the underlying ...
Shuyu Wang +3 more
wiley +1 more source
Congenital Hypotrichosis in a female Rottweiler [PDF]
Ihrke, P. J. +2 more
core +1 more source
Febrile status epilepticus and epileptogenesis: The FEBSTAT study
Abstract The multicenter FEBSTAT study (Consequences of Prolonged Febrile Seizures in Childhood: https://grantome.com/grant/NIH/R37‐NS043209‐12; PI S. Shinnar) examined the outcome of febrile status epilepticus (FSE) in over 200 prospectively enrolled infants, with many followed for 10 years after FSE.
Darrell V. Lewis +14 more
wiley +1 more source
Challenges and solutions in the treatment of spinal disorders in patients with skeletal dysplasia: A comprehensive review. [PDF]
Tsirikos AI, Jain A, Ahuja K.
europepmc +1 more source
Multinodular and vacuolating neuronal tumors in epilepsy: dysplasia or neoplasia? [PDF]
An S +17 more
core
AI‐based localization of the epileptogenic zone using intracranial EEG
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida +5 more
wiley +1 more source
Advances in endoscopic dysplasia detection in inflammatory bowel disease. [PDF]
Pal P +7 more
europepmc +1 more source
Screening for Barrett’s esophagus: Balancing clinical value and cost-effectiveness [PDF]
Gyawali, C Prakash, Patel, Amit
core +1 more source

