Anxiety & Stress

A Three-Slice Deep Learning-Radiomics Nomogram for Challenging Renal Mass Cases: A Double-Center Study.

To determine the optimal spatial-depth architecture for deep learning-radiomics (DLR) differentiation of fat-poor angiomyolipoma (fp-AML) from clear cell renal cell carcinoma (ccRCC), and to validate the resulting integrated nomogram under stringent stress test conditions using only diagnostically equivocal or discordant cases, thereby simulating the real-world clinical scenarios where such a tool...

NRP1 silencing induces ROS-mediated cell cycle arrest and mitochondrial apoptosis in non-small cell lung cancer via upregulation of AGER.

OBJECTIVE: The specific role of Neuropilin-1 (NRP1) and its link to oxidative stress in Non-Small Cell Lung Cancer (NSCLC) progression remains unclear. METHODS: Integrated bioinformatics, including weighted gene co-expression network analysis and machine learning, were applied to the TCGA cohort and validated in an age-stratified clinical cohort. In vitro assays evaluated proliferation, apoptosis,...

The diagnostic value of the circadian rhythm gene KLF10 in anxiety-depressive disorders and its neuroimmune regulatory mechanisms.

BACKGROUND: Anxiety-depressive disorder (ADD) is one of the important subtypes of depression, which has been shown to be closely related to neuroimmun...

Patterns of Engagement With an AI Conversational Agent for Mental Health and Associations With Anxiety and Depression: Cross-Sectional Study.

BACKGROUND: Digital mental health interventions using conversational AI agents are increasingly being adopted as scalable alternatives to traditional ...

Psychological consequences of AI-assisted training and the buffering role of mindfulness.

The integration of artificial intelligence (AI) into athletic training is accelerating, yet its psychological implications for athletes remain insuffi...

Adaptive voice interaction as a cognitive regulation mechanism during second-language listening: The roles of learner agency and listening anxiety.

The increasing integration of artificial intelligence into learning environments has created new opportunities to examine how adaptive technologies in...

Evaluating clinical and neuroimaging predictors for cognitive-behavioral therapy outcome in obsessive-compulsive disorder.

Cognitive-behavioral therapy (CBT) is the first-line treatment for obsessive-compulsive disorder (OCD), yet a significant number of patients do not ac...

Tissue-specific metabolite profiling reveals diverse metabolic response under N deficiency and high temperature stress in soybean.

INTRODUCTION: Climate change has increased the incidence of compound stresses, including the co-occurrence of nitrogen deficiency (-N) and high temper...

Prediction of Clinically Meaningful Improvement After Internet-Delivered Cognitive Behavioral Therapy for Depression and Anxiety Disorders: Machine Learning-Based Predictive Model Development and Temporal Validation Study.

BACKGROUND: Up to 50% of patients treated with internet-delivered cognitive behavioral therapy (ICBT) for depression and anxiety disorders do not expe...

Legume-based selenium bioavailability for crop and human nutrition: A global meta-analysis.

Selenium (Se) plays an important role in plant growth and human nutrition, and its narrow safety margin can cause adverse effects in the legume-based ...

From Environmental Lead Exposure to Colorectal Cancer: Integrated Transcriptomic and Genetic Analyses Identify HMOX1 as a Prioritized Candidate.

Colorectal cancer (CRC) is a leading cause of cancer mortality, and the mechanisms linking lead exposure to CRC remain unclear. In this study, we inte...

Frequency of use and attitudes toward AI-based health counseling among patients attending the dermatology outpatient clinic: a cross-sectional study.

PURPOSE: To quantify the prevalence of pre-visit AI consultation among dermatology outpatients and to assess associated attitudes, anxiety changes, an...

Machine Learning Prediction of First Suicide Attempts in Early Adolescence Among Child Ideators.

OBJECTIVE: Identifying those at highest risk of making a first suicide attempt during adolescence is crucial to inform early suicide prevention. Our s...

Urinary Peptide Signatures Distinguish Overactive Bladder and are Associated with Improvement in Incontinence Following Therapy.

OBJECTIVE: To characterize urinary peptide signatures in patients with and without overactive bladder (OAB), identify peptide differences by OAB pheno...

Machine Learning Classification of Prevalent Chronic Disease Using Multidimensional Social, Behavioral, and Psychological Determinants: A Cross-Sectional Analysis of the 2024 National Health Interview Survey.

BACKGROUND: Chronic diseases account for approximately 90% of the $4.5 trillion annual healthcare expenditure in the United States. While traditional ...

Psychological stress-associated ceramide and diacylglyceride lipotoxicity as contributors to first-episode depression pathophysiology: A neuroimmune-metabolic-oxidative stress (NIMETOX) perspective.

BACKGROUND: Aberrations in neuro-immune, metabolic, and oxidative stress (NIMETOX) pathways are implicated in major depressive disorder (MDD). First-e...

Di(2-ethylhexyl) Phthalate (DEHP) Exposure Exacerbates Subarachnoid Hemorrhage by Inducing Astrocyte-Mediated Inflammation and Oxidative Stress through the ADORA1/PI3K-Akt/MAPK Axis.

Di(2-ethylhexyl) phthalate (DEHP) is a widespread plasticizer, but its role in subarachnoid hemorrhage (SAH) remains unclear. Integrating network toxi...

Resting-state fMRI-based machine learning for predicting SSRI treatment response in major depressive disorder.

BACKGROUND: Major Depressive Disorder (MDD) is a prevalent mental health condition with significant societal impact. Although prior research has highl...

From anxiety to adaptation: A study on the relationship between college students' AI interaction experience and mental health in higher education.

In addition to the successful application of technology in empowering education through generative artificial intelligence, there may be certain dange...

Hair neuroendocrine signatures of acute stress reaction symptoms: Cross-national validation and latent profile heterogeneity.

The Acute Stress Reaction (ASR) involves transient emotional, somatic, cognitive, and behavioral symptoms after stressful exposure. Acute stress engag...