Latest AI and machine learning research in anxiety & stress for healthcare professionals.
Developing innovative materials with superior properties has been a major engineering challenge. Rationally designed polymer nanocomposites represent an emerging field that offers materials with enhanced mechanical properties and added functionalities. Here, we propose a computational methodology for predicting the heterogeneous mechanical behavior of model polymer nanocomposites that combines dee...
Artificial nanomaterials known as nanozymes, which possess inherent enzyme-mimetic characteristics, have transformed environmental research, biomedicine, and catalysis. Compared with natural enzymes, nanozymes are advantageous due to their high stability, low cost, and adaptability. They exhibit oxidation, reduction, peroxidation, and superoxide dismutation activities, which are essential for envi...
BackgroundAcetyl tributyl citrate (ATBC), an eco-friendly plasticizer, exhibits poorly characterized neurotoxic effects.ObjectiveWe integrated network...
\textbf{Objective:} Physiological measurements obtained from wearable devices reflect complex autonomic nervous system dynamics that are often ass...
PURPOSE: Vaginal tissue tearing during childbirth is a prevalent injury with potential long-term consequences, yet the mechanical factors influencing ...
BACKGROUND: Polysubstance use continues to complicate the US overdose landscape, with over 107,000 lives lost to drug overdoses in 2022. The present s...
BACKGROUND: Stress is a key determinant of health outcomes and may influence work performance. Questionnaire-based assessments of stress are typically...
The rapid integration of artificial intelligence (AI) has transformed how people learn, work, and make decisions, while raising growing concerns about...
PURPOSE: This study applied the Interaction of Person-Affect-Cognition-Execution (I-PACE) model and the Relational Development System Theory (RDS) to ...
BACKGROUND: Occupational heat stress poses a growing threat to worker health and productivity in low- and middle-income countries. This study investig...
Deep brain stimulation (DBS) for treatment-resistant depression (TRD) is challenged by significant individual variability in efficacy and unclear neur...
BACKGROUND: Digital biomarkers are gaining interest as proxy markers for mental health, as they enable passive and continuous data collection. However...
BACKGROUND: Epilepsy is a chronic neurological disorder characterized by altered cortical excitability. The disorder is often associated with psycholo...
Metabolic dysfunction-associated steatotic liver disease (MASLD) is one of the most prevalent chronic liver diseases worldwide. Growing evidence indic...
BACKGROUND AND OBJECTIVE: Cerebral aneurysms affect 2-5% of the global population and pose a significant health risk upon rupture. While computational...
BACKGROUND: Gestational diabetes mellitus (GDM) is a common pregnancy complication linked to adverse outcomes, highlighting the need for new diagnosti...
Identity dissociation is challenging to detect and treat, and its etiology remains incompletely understood. Childhood maltreatment and FKBP5 polymorph...
BACKGROUND: Healthcare Artificial Intelligence (AI) offers transformative potential but often inherits biases from training data, worsening disparitie...
PURPOSE: This study aims to clarify the associations between task complexity and Artificial Intelligence (AI) dependency among university students and...
BACKGROUND: The incidence of mental health concerns is growing, and demand for support is exceeding service capacity. Digital tools can provide additi...