Results 201 to 210 of about 6,522,305 (296)

Artificial intelligence in traumatic stress treatment: The TRUST framework for ethical development, clinical applications, and research advancement

open access: yesJournal of Traumatic Stress, EarlyView.
Abstract Posttraumatic stress disorder (PTSD) and depression are common diagnoses following traumatic events, with several available evidence‐based interventions to reduce symptomology. However, trauma populations face significant access barriers that limit their adoption and reach.
Leigh E. Ridings   +3 more
wiley   +1 more source

DERMACLEAR: AI‐Powered Insights Into Four Chronic Inflammatory Skin Diseases in Spain

open access: yesJEADV Clinical Practice, EarlyView.
Using an AI‐enhanced analysis of electronic health records from nearly 50,000 patients, the DERMACLEAR study provides real‐world insights into the prevalence, clinical complexity, comorbidities and treatment patterns of HS, CU, PsO and AD in Spain.
Ana Giménez‐Arnau   +11 more
wiley   +1 more source

Beyond Reality Avoidance: Unraveling the Paradox of Escapism Through Self‐Monitoring and Autonomy Mechanisms for Consumers' Life Satisfaction

open access: yesPsychology &Marketing, EarlyView.
ABSTRACT This study introduces the Paradox of Escapism, exploring how the act of escaping reality can evolve from a short‐term avoidance strategy to a mechanism for self‐regulation and enhanced life satisfaction. Employing five rigorous, multimethod investigations, including qualitative interviews and sentiment analysis (Study 1), Structural Equation ...
Thamiris Magalhães de Sousa   +3 more
wiley   +1 more source

Artificial Intelligence‐Driven Natural Product Drug Discovery: From Computational Genome Mining to Clinical Translation

open access: yesMedicinal Research Reviews, EarlyView.
ABSTRACT Natural products (NPs) have historically yielded numerous therapeutic agents, yet their integration into modern drug discovery has been constrained by chemical complexity, low abundance, laborious dereplication, and limited target annotation.
Antonio Lavecchia
wiley   +1 more source

Fault Diagnosis in an Induction‐Motor‐Driven Rotating Machinery Test Rig Under Unseen Operating Loads Using Multimodal Fusion and Multiagent Deep Reinforcement Learning

open access: yesInternational Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Conventional fault‐diagnosis methods, largely grounded in one‐dimensional signal analysis and linear modeling, often fail to detect complex nonlinear faults in rotating machinery operating under variable loads. Data‐driven approaches also face challenges in extracting discriminative information from high‐dimensional multisensor measurements ...
Amirreza Marzband, Javad Poshtan
wiley   +1 more source

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