Results 171 to 180 of about 4,155 (271)

The Serotonin 2B (5‐HT2B) Receptor: A Narrative Review of Preclinical and Clinical Evidence on the Safety Considerations and Therapeutic Potential for the Treatment of Depression

Clinical Pharmacology &Therapeutics, EarlyView.
Major depressive disorder (MDD) and treatment‐resistant depression (TRD) remain leading causes of disability, providing the impetus for receptor‐level treatment strategies beyond monoamine reuptake. The serotonin 5‐HT2B receptor (5‐HT2BR) is uniquely positioned at the interface of central‐antidepressant mechanisms and peripheral cardiac risks.
Gia Han Le, Sabrina Wong, Danica E. Johnson, Diana K. Orsini, Yang Jing Zheng, Kayla M. Teopiz, Christine E. Dri, Joshua D. Rosenblat, Roger S. McIntyre   +8 more
wiley   +1 more source

Humanlike AI for Corporate Social Responsibility Communication: How Perceived Anthropomorphism Shapes Stakeholder Acceptance of Chatbots

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Despite increasing interest in leveraging AI to improve CSR communication, there is limited understanding of consumers' reactions to chatbots in CSR communication. Building upon the HAII‐TIME model, this study proposes a theoretical model from the users' psychological perspective to explain facilitative pathways through which anthropomorphic ...
Yangzhi (Nicole) Jiang, Yang Cheng, Yuan Wang   +2 more
wiley   +1 more source

A Novel Multilevel Conceptual Framework for Flood Risk Governance

Environmental Policy and Governance, EarlyView.
ABSTRACT Globally, flood risk is increasing as climate change progresses. Contemporary flood risk management practice often utilises hydrodynamic modelling (for hazard risk assessments), social vulnerability assessments, and risk communications in silo, which fragments evidence‐based decision‐making for effective flood risk management. We hence develop
Aiperi Stambekova, Avidesh Seenath
wiley   +1 more source

A Directional Cognitive-Radio-Aware MAC Protocol for Cognitive Radio Sensor Networks

International Journal of Smart Home, 2015
Han Su, Sangman Moh
openaire   +1 more source

An Energy-Efficient Spectrum-Aware Reinforcement Learning-Based Clustering Algorithm for Cognitive Radio Sensor Networks. [PDF]

Sensors (Basel), 2015
Mustapha I, Mohd Ali B, Rasid MF, Sali A, Mohamad H.   +4 more
europepmc   +1 more source

A guide to neuromodulation in drug‐resistant epilepsy

Epileptic Disorders, EarlyView.
Abstract Neuromodulation is approved for the treatment of drug‐resistant epilepsy. It has been increasingly utilized over the past two decades with the approval of deep brain stimulation (DBS) and responsive neurostimulation (RNS) in addition to vagus nerve stimulation (VNS)—particularly in patients who are not deemed to be good resective surgical ...
Prachi Parikh, Irena Dolezawa, Manu Hegde, Lukas Imbach, Brian N. Lundstrom, Francesca Pizzo, Vikram R. Rao, Jaysingh Singh, Derek Southwell, Satsuke Watanabe, Birgit Frauscher   +10 more
wiley   +1 more source

Video‐based diagnostics supported by artificial intelligence as an opportunity to address the epilepsy diagnostic gap: A narrative review

Epilepsia, EarlyView.
Abstract Despite advancements in epilepsy care, a substantial diagnostic gap persists, particularly in resource‐limited settings. This narrative review explores the potential of video‐based diagnostics augmented by artificial intelligence (AI) to address this gap by enabling earlier and more accessible seizure detection and classification.
Gadi Miron, Robert Terziev, Maximilian Schöls, John McLaren, Tobias Loddenkemper, Jörg Wellmer, Sigrid Mues, Christian Meisel   +7 more
wiley   +1 more source

Fully automated three‐dimensional deep learning‐based magnetic resonance imaging segmentation of brain cavities in epilepsy surgery

Epilepsia, EarlyView.
Abstract Objective There are several clinical and research applications for determining the amount of brain tissue resected after epilepsy surgery; however, manual segmentation of postoperative magnetic resonance imaging (MRI) is imprecise and time‐consuming.
Raphael Fernandes Casseb, Brunno Machado de Campos, Wallace Souza Loos, Marcelo Eduardo Ramos Barbosa, Marina Koutsodontis Machado Alvim, Gabriel Chagas Lutfala Paulino, Enrico Ghizoni, Francesco Pucci, Samuel Worrell, Clarissa Lin Yassuda, Roberto Medeiros de Souza, Lara Jehi, Fernando Cendes   +12 more
wiley   +1 more source

A translational multimodal machine‐learning prototype predicting valproate response in epilepsy treatment

Epilepsia, EarlyView.
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, Afsheen Kumar, Giorgia Guerini, Massimo Pandolfo, Denise Haslinger, Colin B. Josephson, Guillermo Delgado‐García, Navprabhjot Kaur, Michaela‐Pauline Lux, Heiko Stempfle, Chantal Depondt, Reetta Kälviäinen, Felix Rosenow, Sophie von Brauchitsch, Karl Martin Klein, Andreas G. Chiocchetti   +15 more
wiley   +1 more source

Comparative assessment of artificial intelligence chatbots' performance in responding to healthcare professionals' and caregivers' questions about Dravet syndrome

Epilepsia Open, EarlyView.
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, Eugenia Roza, Bárbara Oliveiros, Joana Barbosa Melo, Mar Carreño   +4 more
wiley   +1 more source