Results 111 to 120 of about 9,934 (216)
Abstract Objective Hypsarrhythmia is the classical EEG pattern of children with infantile epileptic spasms syndrome (IESS). Multifocal spikes, slow waves of large amplitude, and chaoticity are its main characteristics, but these lack clear definitions, and the interrater reliability (IRR) is poor.
T. P. Cramer +4 more
wiley +1 more source
Abstract Objective Infantile epileptic spasms syndrome (IESS) is an epileptic encephalopathy requiring rapid diagnosis and treatment to optimize neurodevelopmental outcomes. Although multiple national and regional guidelines exist, recommendations vary.
Gozde Erdemir +21 more
wiley +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
Neonatal seizures: Advances in diagnosis and management
Abstract The International League Against Epilepsy (ILAE) created the ILAE Neonatal Task Force that classified neonatal seizures, defined neonatal epilepsy syndromes, and specified treatment guidelines. These frameworks, in addition to improved access to genetic testing and other recent advances, have revolutionized the diagnosis and management of ...
Elissa G. Yozawitz +2 more
wiley +1 more source
ABSTRACT Objectives Dravet syndrome (DS) is a severe, drug‐resistant developmental and epileptic encephalopathy (DEE) that requires polytherapy for adequate seizure control. The need to combine multiple antiseizure medications (ASMs), together with variability in seizure types, safety considerations, and evolving patient needs, makes treatment ...
Elaine Wirrell, Joseph Sullivan
wiley +1 more source
This study integrates climatic simulations with machine learning to predict solar and wind energy across Iraq. Results show Random Forest excels for solar (R2 = 0.98) and neural networks for wind (R2 = 0.97), enabling a practical web tool for renewable energy planning. ABSTRACT Driven by the global shift away from fossil fuels, solar and wind resources
Bassam Musheer Kareem +3 more
wiley +1 more source
ABSTRACT Background Sinonasal malignancies (SNM) are rare, heterogeneous tumors with poor prognosis. There is an unmet need to improve treatment outcomes. Despite advances in imaging and molecular classification, optimal curative radiotherapy (RT) strategies remain undefined.
M. de Ridder +11 more
wiley +1 more source
ABSTRACT Introduction Head and neck cancer (HNC) survival is improving, increasing the need to address long‐term survivorship issues. Dental survivorship—care before, during, and after treatment—remains inconsistent across services. We conducted a review of systematic reviews and emerging evidence to inform contemporary dental survivorship care for HNC
David G. Tighe +3 more
wiley +1 more source
ABSTRACT The research‐practice gap (the gap) in HRD remains a significant challenge, hindering the application of academic research to practice and the integration of workplace challenges into research efforts. It is critical for HRD research to address the gap to develop evidence‐based solutions for learning and organizational performance. The purpose
Kelly Moore, Yonjoo Cho
wiley +1 more source
ESC Heart Failure, Volume 12, Issue 2, Page 1490-1491, April 2025.
Özant Helvacı +4 more
wiley +1 more source

