Anxiety & Stress

SIRT1 Downregulation by Advanced Glycation End Products Activates RANKL-Dependent Osteoclast Signaling and Drives Chondrocyte Senescence During Osteoarthritis Development.

Advanced glycation end products (AGEs) accumulate with aging and metabolic stress and are increasingly implicated in osteoarthritis (OA) pathology. However, how AGEs regulate osteoclast-chondrocyte signaling remains poorly defined. Here, we integrated proteomic and transcriptomic analyses with machine learning to identify molecular networks altered by AGEs in osteoclasts. SIRT1 emerged as a centra...

Enhancing patient education in cataract surgery using a conversational artificial intelligence chatbot: pilot randomized controlled trial.

PURPOSE: To evaluate the effectiveness and usability of a safety-first, clinician-validated conversational artificial intelligence (AI) chatbot for cataract surgery education compared with standard brochures. SETTING: University Hospital (UZ Brussel), Brussels, Belgium. DESIGN: Prospective, single-center, randomized controlled trial. METHODS: Adults scheduled for cataract operation were randomized...

AI-Enabled Imaging for Pathogen Detection Under Stress Conditions: A Systematic Review.

Advances in pathogen detection that incorporate artificial intelligence (AI) may capture microbial signals under challenging environmental conditions ...

Multivariate Pattern Analysis Identifies Potential Intertrial Resting-State EEG Biomarkers in Fibromyalgia.

Fibromyalgia involves widespread musculoskeletal pain and hypersensitivity, often accompanied by neurological, cognitive, and affective disturbances. ...

Combined Effects of Long-Term Sulfur Dioxide Exposure and Environmental Heat Stress on the Risk of Kidney Stone Disease.

OBJECTIVES: Kidney stone disease is influenced by environmental, metabolic, and climatic factors. Although sulfur dioxide and environmental heat stres...

Smart Livestock: A Federated Learning Based System for Real-Time Cattle Health, Stress and Water Resource Monitoring.

BACKGROUND: Centralized machine learning (ML) models often face challenges related to data privacy, messaging latency and limited internet access in r...

The Role of Mathematical Modeling in Plant Abiotic Stress Biology: Current Trends and Future Prospects.

Plant responses to abiotic stress are governed by complex interactions operating across physiological, biochemical, and molecular levels, which remain...

Use of a Large Language Model to Reveal Narrative Architectures of Veteran Transition Stress: Development and Validation Study.

BACKGROUND: The stress caused by multiple aspects of veterans' transitions from military to civilian, termed transition stress, represents a unique so...

Machine learning-enabled implantable plant biomarker sensor for early detection and classification of acid and salt stress.

Abiotic stresses, particularly acid and salt stress, severely limit plant productivity. Conventional detection is often hindered by physiological lags...

Integration of 117 machine learning algorithms and single-cell transcriptomics identifies macrophage polarization and ER stress signatures for cancer prognosis and precision therapy.

BACKGROUND: Macrophage polarization and endoplasmic reticulum (ER) stress play critical yet incompletely understood roles in cancer progression and th...

Artificial intelligence related anxiety among dental students: associations with demographics and AI use behaviors.

BACKGROUND: Artificial intelligence (AI) is increasingly integrated into dental diagnostics and education, including AI-assisted radiograph interpreta...

The Impact of Death Anxiety and Spirituality Level on Psychological Well-Being of Geriatric Home Care Patients: Machine Learning Approach.

OBJECTIVE: To investigate the effects of death anxiety and spirituality on the psychological well-being of geriatric home care patients. METHODS: A de...

Machine-learning framework for conditional estimation and scenario-based projection of the heat index for public health interventions.

BACKGROUND: Heatwaves are becoming more frequent and intense in Bangladesh, particularly in urban areas such as Dhaka, where the combined effects of e...

Hyper-scanning and hyper-pursuit define eye movement biomarkers of anxiety disorders.

BACKGROUND: Anxiety disorders are highly prevalent yet lack objective biomarkers. Whereas threat-related attentional biases are well documented, less ...

Deep learning-assisted proteomic dissection reveals sex biased and shared proteomic patterns in Populus deltoides under waterlogging stress and subsequent recovery.

Sexual dimorphism in dioecious tree species and proteomic responses under stress represents an underappreciated axis of stress resilience. Here, we in...

AI Applications Integrating Legal and Regulatory Perspectives in Mental Health: Systematic Review.

BACKGROUND: Artificial intelligence (AI) offers new methods to improve diagnosis and treatment in mental health. However, its use raises legal and eth...

Attentional Avoidance of Sexual Cues in Psychogenic Erectile Dysfunction: An Eye-Tracking and Machine Learning Study.

BACKGROUND: Psychogenic erectile dysfunction (pED) is a prevalent male erectile dysfunction without organic causes, and difficulties in erection attai...

A scoping review on conversational AI in mental health: A human-centered perspective.

BACKGROUND: Conversational AI offers scalable mental health support, with large language models (LLMs) enabling personalized interactions. Human-cente...

Daily Mortality Prediction Under Compound Environmental Stressors: Comparing Epidemiological Time Series Models and Machine Learning Models.

Accurate prediction of daily mortality is vital for effective early warning systems and the strategic allocation of medical resources, particularly gi...

A relational agent for treating substance use in adults: A randomized controlled trial with a psychoeducational comparator.

BACKGROUND: Highly accessible and scalable, digital mental health interventions can reduce barriers associated with traditional treatment. Woebot for ...