Results 141 to 150 of about 529,570 (286)
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
The multiple hit model of infantile and epileptic spasms: The 2025 update
Abstract Objective Infantile and epileptic spasms syndrome (IESS) is a developmental and epileptic encephalopathy manifesting with epileptic spasms and poor neurodevelopmental outcomes. There is an urgent need for the development of more effective and tolerated therapies.
Aristea S. Galanopoulou +6 more
wiley +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
Sunitinib and Fenofibrate as Combination Therapy for MDR Glioblastoma: Insights from <i>In Vitro</i> and <i>In Silico</i> Studies. [PDF]
Alobid S +8 more
europepmc +1 more source
A New Vista of Opportunity in Diabetes Management: Natural Product‐Based β‐cell Preservation
Preserving functional β‐cells via natural products offers promising strategy for diabetes treatment. ABSTRACT A defining characteristic of diabetes is β‐cell failure, in which β‐cells cannot modulate insulin secretion to compensate for escalating insulin resistance, pushing forward disease development.
Yi‐San Lee +4 more
wiley +1 more source
Nowcasting World Trade With Machine Learning: A Three‐Step Approach
ABSTRACT We nowcast world trade using machine learning, distinguishing between tree‐based methods (random forest and gradient boosting) and their linear‐regression‐based counterparts (macroeconomic random forest and gradient boosting—linear). While much less used in the literature, the latter are found to outperform not only the tree‐based techniques ...
Menzie Chinn +2 more
wiley +1 more source
Retinol Binding Protein 4 Promotes Chondrocyte and Osteoclast Differentiation. [PDF]
Quincey A, Mohan S, Edderkaoui B.
europepmc +1 more source
A sensitive colloidal gold immunochromatographic assay for atrazine was successfully established using genetically engineered nanobody‐recombinant antibody, which overcame the shortcomings of traditional antigen‐antibody. ABSTRACT Colloidal gold immunochromatography (CG‐ICA) is distinguished by its cost‐effectiveness and rapid detection capabilities ...
Jiayong Bao +16 more
wiley +1 more source
Thermal and Kinetic Analysis of Benzimidazole Derivatives: Fenbendazole, Mebendazole, and Flubendazole. [PDF]
Ledeți A +10 more
europepmc +1 more source
Fenugreek and stevia extracts protect against dexamethasone‐induced testicular damage in male rats by enhancing antioxidant defenses, improving sperm quality, and restoring hormonal balance, highlighting their potential as natural therapeutics for preventing corticosteroid‐induced reproductive toxicity.
Mosab Gad +3 more
wiley +1 more source

