Anxiety & Stress

Correction to: Research on the selfefficacy and resilience of female graduate students in the era of artificial intelligence: analysis of the mechanism of mobile phone dependence, anxiety and mentoring relationship.

Detection of winding deformations in power transformers from inrush current characteristics using the Chen-Lee chaotic system and Gramian Angular Summation Field.

A short-circuit fault in a transmission line unbalances the electromagnetic stress or ferromagnetic ...

Innovations in Quail Welfare: Integrating Environmental Enrichment, Nutrition and Genetic Advances for Improved Health and Productivity.

The demand for ethical and sustainable poultry production is driving up the importance of quail welf...

Machine learning-based prediction of anxiety disorders using blood metabolite and social trait data from the UK Biobank.

Anxiety disorders are the most prevalent type of mental health disorders and are characterised by ex...

Screening of oxidative stress components of cigarette smoke based on machine learning model integration.

Cigarette smoke, a complex mixture of more than 7000 chemicals, poses a significant threat to human ...

Identifying metabolites of new psychoactive substances using in silico prediction tools.

New psychoactive substances (NPS) pose an increasing challenge for clinical and forensic toxicology ...

Anxiety disorder identification with biomarker detection through subspace-enhanced hypergraph neural network.

In this study, we propose a subspace-enhanced hypergraph neural network (seHGNN) for classifying anx...

Has artificial intelligence proven stress perfusion cardiac computed tomography obsolete or more relevant than ever?

Unveiling the systemic impact of airborne microplastics: Integrating breathomics and machine learning with dual-tissue transcriptomics.

Airborne microplastics (MPs) pose significant respiratory and systemic health risks upon inhalation;...

Real-time integrated modeling of soft tissue deformation and stress based on deep learning.

. Accurately and in real-time simulating soft tissue deformation and visualizing stress distribution...

[EVALUATION OF SCREENING FOR PTSD USING CONSORT AI RECOMMENDATIONS WITH A LARGE LANGUAGE MODEL].

Similar to major natural disasters and large-scale wars, the events of October 7th and the retaliato...

Predicting Stress, Anxiety, and Depression in Adult Men Based on Nutritional and Lifestyle Variables: A Comparative Analysis of Machine Learning Methods.

Mental health disorders like depression, anxiety, and stress (DAS) are rising globally. Understandin...

An approach to screen susceptible rats and efficacy of an antidepressive treatment after chronic stress.

Chronic stress during life has been considered a risk factor for the development of psychiatric illn...

Artificial intelligence driven mental health diagnosis based on physiological signals.

Mental health disorders like stress, anxiety, and depression are increasing rapidly these days. Diag...

Using Machine Learning to Identify Predictors of Maternal and Infant Hair Cortisol Concentration Before and During the COVID-19 Pandemic.

Hair cortisol concentration (HCC) has been theorized to reflect chronic stress, and maternal and inf...

Effect of Cumulative Exposure on the Efficacy of Paroxetine: A Population Pharmacokinetic-Pharmacodynamic and Machine Learning Analyses.

Selective serotonin reuptake inhibitors (SSRIs) are widely used in depression treatment. However, th...

KDELR3 and YOD1 proteins as critical endoplasmic reticulum stress mediators and potential therapeutic targets in diabetic foot ulcers: An integrated bioinformatics analysis.

BACKGROUND: Diabetic foot ulcers (DFU) represent one of the most severe complications of diabetes me...

Corrigendum to "Towards fast and reliable estimations of 3D pressure, velocity and wall shear stress in aortic blood flow: CFD-based machine learning approach" [Comput. Biol. Med. 191 (2025) 110137].

Concise multi-class anxiety disorder risk assessment: A novel advanced machine learning approach.

Rapidly assessing anxiety disorder risk is crucial for effective mental health screen and interventi...

Question-based computational language approach outperform ratings scale in discriminating between anxiety and depression.

Major Depression (MD) and General Anxiety Disorder (GAD) are the most common mental health disorders...

Assessing bias in AI-driven psychiatric recommendations: A comparative cross-sectional study of chatbot-classified and CANMAT 2023 guideline for adjunctive therapy in difficult-to-treat depression.

The integration of chatbots into psychiatry introduces a novel approach to support clinical decision...