Abstract This seminar addresses the complexity of the management of epilepsy in adults with intellectual development disorders (IDD), advocating holistic and multidisciplinary care aligned with the learning objectives of the International League Against Epilepsy. Epilepsy is significantly more prevalent in people with IDD, presenting unique diagnostic,
Elena Fonseca +10 more
wiley +1 more source
Barriers and opportunities in developing community-based maternal and child health surveillance: A mixed methods study in Depok, Indonesia. [PDF]
Sigit FS +4 more
europepmc +1 more source
An n‐of‐1 gene‐directed drug repurposing trial for an ultrarare genetic condition
Abstract Objective Gain‐of‐function (GoF) variants in the KCNC1 potassium channel subunit gene (Kv3.1) cause motor/cognitive delays and hypotonia and have been associated with seizures. Fluoxetine has inhibitory effects on Kv3.1. However, open‐label nonrandomized administration is insufficient to guide clinical decision‐making in ultrarare conditions ...
Vedika Jha +13 more
wiley +1 more source
Ivermectin's role in malaria control: the simplicity and the complexity. [PDF]
Schwartz E, Orshan L, Schlagenhauf P.
europepmc +1 more source
Members Only: Gated Communities and Residential Segregation in the Metropolitan United States. [PDF]
Vesselinov E.
europepmc +1 more source
Abstract Objective Epilepsy affects ~1% of the global population and often requires lifelong antiseizure medication (ASM) therapy. Valproic acid (VPA) is a commonly prescribed first‐line ASM, yet only approximately half of patients achieve sustained seizure freedom. Treatment selection remains largely empirical.
Simeon Platte +15 more
wiley +1 more source
Enrichment of <i>Candida</i> associated with dysbiosis contributes to mucosal CD4<sup>+</sup>FOXP3<sup>+</sup> regulatory T cell accrual and their dysfunction in aging. [PDF]
Jayaraman S +13 more
europepmc +1 more source
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
A simple <i>ex vivo</i> bladder infection model permits study of host-pathogen interactions in urinary tract infection. [PDF]
Köhn RM +6 more
europepmc +1 more source
A Comprehensive Review of AI‐Powered Energy Systems
The role of Artificial Intelligence (AI) in developing next‐generation energy systems is getting more day by day. Therefore, incorporating AI enables real‐time decision‐making and advanced grid management, which are essential for optimizing the use of intermittent renewable sources like wind and solar power.
Armin Razmjoo +5 more
wiley +1 more source

