Results 111 to 120 of about 3,581 (172)
Pre‐eclampsia is a hypertensive disorder of pregnancy affecting 3–8% of pregnancies worldwide, with no disease‐modifying therapy currently available. Drug repurposing offers a promising strategy, yet no candidate has been validated to date. Pregnancy‐associated physiological changes alter drug pharmacokinetics (PK), and pre‐eclampsia itself may further
Cassius M. Phogole +4 more
wiley +1 more source
Case Report: Jet lag and travel fatigue effects on performance in a world-class paralympic shot-putter after eastward long-haul transmeridian travel. [PDF]
Garcia-Carrillo E +12 more
europepmc +1 more source
ABSTRACT Growing concerns about the environmental and social consequences of plastics around the world, manufacturing industries are associated with business are focusing on sustainable end‐of‐life options‐based solutions which aim at increasing the product life cycle.
Sivakumar Kirupanandan +3 more
wiley +1 more source
Improved preservation of hearts from old donors during static cold storage by the senomorphic agent ruxolitinib. [PDF]
Saemann L +7 more
europepmc +1 more source
Through shear–tensile creep tests and viscoelastic modeling, the fracture evolution of thick soft protective layers is clarified. Results show thickness‐dependent rheological failure modes that govern four types of roof water inrush, providing a mechanism‐based framework for hazard prediction and control. Abstract In the Jurassic coal‐bearing strata of
Mengnan Liu +4 more
wiley +1 more source
The intervention effect of structured martial arts games on behavioral impairments and motor functions in children with autism spectrum disorder. [PDF]
Fu X, Shi P.
europepmc +1 more source
A comprehensive comparative study of five artificial neural network (ANN) architectures (convolutional neural network [CNN], recurrent neural network, feedforward neural network, multi‐layer perceptron, radial basis function network) was conducted for water saturation prediction in petroleum reservoirs.
Ali Akbari, Ali Ranjbar
wiley +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
Abstract Objective Artificial intelligence (AI)‐powered chatbots are increasingly used for patient education and mental health support, yet their effectiveness in epilepsy care remains underexplored. This study examines text‐based interactions between users and EpiloBot, an epilepsy‐focused chatbot, to understand conversational patterns and emotional ...
Keiichi Watanuki +10 more
wiley +1 more source

