Anxiety & Stress

Artificial Intelligence-Based Exploration of the Relationship Between Running Motion Patterns and Achilles Tendon Stress in Inactive Adults Initiating a Running Program.

Inactive adults face a measurable risk of chronic Achilles tendon injury when starting to run, yet the mechanisms remain unclear. We leverage machine learning and Shapley Additive Explanations (SHAP)-core methodologies in artificial intelligence-to identify running motion patterns that elevate Achilles tendon stress in this population. Our findings aim to inform safer running practices, ultimately...

The Role of Artificial Intelligence in Clinical Psychology: How AI and NLP Systems Are Reshaping Psychological Interventions. A Systematic Review.

Artificial Intelligence (AI) technologies are rapidly evolving and their integration into psychological practices has progressively expanded, offering new tools for diagnosis, treatment and therapeutic monitoring. This review examines the transformative role of AI, particularly Natural Language Processing (NLP) systems, in reshaping clinical psychology and digital mental health interventions (DMHI...

Nanozymes for Liver Disease Therapy: Advances in Catalytic Activity, Targeting Strategies, and Clinical Translation.

Natural and artificial enzymes have emerged as promising candidates for biomedical applications, possessing the potential to address redox imbalances ...

Use of Bioinformatics and Machine Learning to Identify Circadian Rhythm Disruption- and Endoplasmic Reticulum Stress-Associated Biomarkers in Nonalcoholic Fatty Liver Disease.

Nonalcoholic fatty liver disease (NAFLD) is a common chronic liver disorder closely linked to circadian rhythm disruption (CRD) and endoplasmic reticu...

Factors associated with job finding anxiety among senior health sciences students: the role of attitudes toward artificial intelligence.

BACKGROUND: Today, university students are experiencing increasing anxiety about finding a job after graduation. One of the factors intensifying this ...

Harnessing Hitchhikers: Outer Membrane Vesicles Leading the Way in Advanced Cancer Therapeutics and Diagnostic- A Review.

Cancer therapy is increasingly shaped by delivery platforms designed to overcome the limitations of conventional chemotherapy and radiotherapy. Among ...

Effects of a Semantically Irrelevant Virtual Reality Experience on Memory and Emotion After Watching a Traumatic Event: Randomized Controlled Experimental Study.

BACKGROUND: First responders, such as firefighters, experience significant mental health issues due to the high-stress nature of their work. Existing ...

Exploring stress and coping among black women in early midlife with elevated blood pressure in a safety-net health system: a qualitative focus group protocol.

INTRODUCTION: Black women in early midlife experience disproportionate exposure to stress and elevated cardiovascular risk, including hypertension. De...

Hypnosis reshapes multilevel stress response and enhances executive performance in stressed medical students.

Stress and anxiety impair executive function and degrade performance, yet rapid and scalable interventions remain limited. This controlled study teste...

Ryanodine receptor 2 mutations in catecholaminergic polymorphic ventricular tachycardia: From molecular mechanisms to precision medicine.

Catecholaminergic polymorphic ventricular tachycardia is a classic example of the successful transfer of genetic cardiology from gene discovery to imp...

Hydrodynamic modulation of microplastic bioaccumulation in edible fish: Integrating biomarker networks, machine learning, and food safety perspectives.

Microplastic (MP) pollution poses increasing environmental and food safety risks, yet the role of hydrodynamics in MPs bioaccumulation and fish physio...

Predictive machine learning algorithms for depression and anxiety disorders in six cancer types: a comprehensive multi-center population-based study.

OBJECTIVE: Machine learning (ML) has advanced predictive modeling in medical diagnosis and risk assessment through large clinical datasets, yet applic...

Nomogram based on the pre-treatment systemic oxidative stress score to predict the prognosis of surgically treated patients with oral squamous cell carcinoma: competing risk model analysis.

The aim of this study was to explore the prognostic predictive importance of the pre-treatment systemic oxidative stress score (SOS) in surgically tre...

Environmental toxicant exposure and diabetes risk: An exposome-wide association study integrating mixture effects and molecular mechanisms.

Environmental toxicant exposure has emerged as a potential contributor to diabetes, yet systematic investigations integrating multiple chemicals and b...

Rapid response teams for new leaders: a narrative review of global evidence and implementation strategies with a focus on Japan.

BACKGROUND: Rapid response systems (RRSs) are designed to detect and treat physiological deterioration before cardiac arrest occurs. Since 2020, Japan...

Association of allostatic load index with cognitive impairment in high-risk stroke populations.

BACKGROUND: Chronic psychosocial stress induces cumulative physiological dysregulation that accelerates biological aging and contributes to the develo...

Prediction of adolescent internalizing disorder risk: Evidence from the Norwegian mother, father, and child cohort study.

BACKGROUND: Internalizing disorders are among the most common psychiatric conditions in adolescence, often associated with long-term adverse outcomes....

Integrative Molecular Pattern Learning for Mental Disorders Via Dual-Effect Matrix-Enabled Multiomics Platform.

Mental health issues are surging in contemporary society, especially among adolescents and adults, harming well-being and social functioning. Objectiv...

The quantum method of planes-local pressure definitions for machine learning potentials.

Stress, or pressure, is a central quantity in engineering and remains vital in molecular modeling. However, the commonly used virial stress tensor is ...

Task-aware multiple instance learning for stress detection from facial video data.

Stress is a prevalent condition linked to a wide range of mental and physical health disorders. Timely detection of stress is critical for enabling ea...