Results 121 to 130 of about 1,049,953 (229)
Abstract Objective Patients with drug‐resistant epilepsy (DRE) typically take multiple anti‐seizure medications (ASMs) and are at risk of treatment‐related adverse events (AEs). This study assessed the impact of cenobamate monotherapy or dual therapy in patients with drug‐resistant epilepsy.
Álvaro Sánchez‐Guijo Benavente +13 more
wiley +1 more source
Treatment for acquired aplasia and refractory cytopenia. Review of a historical cohort
Jesús González de Pablo +4 more
doaj +1 more source
Freedon study: Real‐life outcomes of cenobamate in different lines of treatment
Abstract Objectives Cenobamate is an antiseizure medication (ASM) with proven effectiveness in individuals with highly refractory epilepsy. This study investigated the effectiveness and tolerability of cenobamate in different treatment lines and a less refractory setting. Methods This was a multicenter, retrospective, observational study.
Vicente Villanueva +50 more
wiley +1 more source
Gut‐microbiota‐brain Axis and post‐traumatic epilepsy
Abstract There has been growing evidence that perturbations in gut‐microbiota‐brain axis (GMBA) are involved in mechanisms of chronic sequelae of traumatic brain injury (TBI). This review discusses the connection between GMBA and post‐traumatic epilepsy (PTE), the latter being a common outcome of TBI.
Andrey Mazarati
wiley +1 more source
Francisco E. Peña-Sandoval +2 more
openaire +2 more sources
Alteraciones psicopatológicas en epilepsia infantil e intervención terapéutica
Noelia Martínez Menéndez +3 more
doaj +1 more source
Abstract Objective Artificial intelligence chatbots have been a game changer in healthcare, providing immediate, round‐the‐clock assistance. However, their accuracy across specific medical domains remains under‐evaluated. Dravet syndrome remains one of the most challenging epileptic encephalopathies, with new data continuously emerging in the ...
Joana Jesus‐Ribeiro +4 more
wiley +1 more source
Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus +7 more
wiley +1 more source
Correction: Profiling Chinese children with symptoms of SpLD, ADHD, or ASD: a transdiagnostic and biopsychosocial study. [PDF]
Liu D +13 more
europepmc +1 more source
Abstract Objective The integration of neurotechnology and artificial intelligence (AI) in epilepsy research has led to significant advancements in diagnosis, monitoring, and treatment. However, the impact of these innovations is often diminished by inadequate and inaccurate reporting, limiting their reproducibility and implementation.
Pedro F. Viana +6 more
wiley +1 more source

