Anxiety & Stress

Functional Outcome Prediction in Young Adults With Mental Health Symptoms Using Machine Learning and Large Language Models: Longitudinal Observational Study.

BACKGROUND: Functional impairments associated with mental health conditions are on the rise. Predicting functional outcomes may improve the targeting of preventive interventions. While prognostic models have primarily focused on psychosis, early recognition services require a transdiagnostic approach. OBJECTIVE: This study aimed to predict global functioning within a 2-year follow-up using baselin...

A scoping review of the use of artificial intelligence as a psychological assessment tool.

Mental health disorders are highly prevalent worldwide, yet access to timely and effective mental health assessment (and care) remains limited. Artificial intelligence (AI) offers potential solutions, but the literature on its use in psychological assessment contexts has not been comprehensively mapped. This review aimed to systematise existing research, identify gaps, evaluate methodological limi...

AI self-efficacy and anxiety among university teachers.

With the rapid integration of AI into higher education, teachers' psychological responses are critical for technology adoption. This study examines AI...

Quantitative Assessment of Nanoplastic Toxicity Risks Across Aquatic Trophic Levels with Data-Driven Models and Exposure Experiments.

Emerging contaminants such as nanoplastics (NPs) pose significant risks to aquatic ecosystems. However, the key features governing NPs toxicity and th...

Classifying mental stress from eye tracking data: deep learning approaches for out-of-the-lab conditions.

Eye-tracking signals such as pupil diameter and gaze behavior have been widely used for stress detection, yet most approaches rely on task-specific fe...

Association between long-term PM2.5 exposure and risk of urinary tract infection in children: a nationwide longitudinal cohort study.

BACKGROUND: Urinary tract infection (UTI) is among the most common bacterial infections in children and can lead to both acute and chronic complicatio...

Integrated network toxicology and experimental validation to investigate potential mechanisms associated with aspartame-induced malignant phenotypic changes in colorectal cancer.

To investigate the potential molecular mechanisms underlying aspartame (APM)-induced malignant phenotypic changes in colorectal cancer (CRC). Candidat...

Exploring the immune landscape and immunotherapy relevance of ER stress-related lncRNAs in melanoma through multi-omics and explainable machine learning.

BACKGROUND: Melanoma is a highly aggressive malignancy with poor clinical outcomes, and endoplasmic reticulum (ER) stress plays an important role in t...

Promoting Psychological Resilience and Well-Being in Youth With a Smartphone-Based Ecological Momentary mHealth Intervention: Secondary Analysis of a Microrandomized Trial.

BACKGROUND: Ecological momentary interventions (EMIs) may be a promising tool for promoting mental well-being in youth, as they allow for targeting re...

Neuroimmune mechanisms in PTSD: inflammatory heterogeneity, circuit dysfunction, and biomarker-based subtypes.

Post-traumatic stress disorder (PTSD) is characterized by exaggerated fear response, anxiety, hyperarousal and sleep disturbances. One of the major pa...

The Digital Mirror: Clinical Potentials and Relational Risks of Generative AI in Mental Health Interventions.

PURPOSE OF REVIEW: This review explores the rapidly evolving integration of Generative Artificial Intelligence (GenAI) in mental health care. It aims ...

Mechanical and flexural fatigue behaviour of steel fibre reinforced RAP-based concrete: experimental and machine learning investigation.

This study examines the mechanical and flexural fatigue behaviour of concrete with reclaimed asphalt pavement (RAP) aggregates with and without steel ...

Circ-EnviroPredict: A machine learning-based tool to predict potential involvement of circRNAs with cold and drought stress through a Word2Vec approach.

Circular RNAs (circRNAs) are a class of RNAs characterized by a covalently closed loop structure formed between the 5' and 3' splice sites. Over the y...

ULK1's role in cancer progression and its emerging therapeutic potential.

Macroautophagy (autophagy) enables cellular stress adaptation by degrading damaged components; ULK1, a serine/threonine kinase, initiates this process...

Surface-enhanced Raman spectroscopy and machine learning based profiling of β-lactam antibiotic-induced biochemical responses in methicillin-resistant and methicillin-susceptible Staphylococcus aureus strains.

The global escalation of antimicrobial resistance in Staphylococcus aureus (S. aureus) necessitates rapid analytical tools to reliably distinguish bet...

Deep-Learning Solution Providing Molecular Marker Subtyping of Breast Cancer Whole Slide Images: Protocol for a UK Clinical Service Evaluation Study.

BACKGROUND: As the histopathology workforce continues to struggle and service demand continues to increase, it has become prudent to consider viable a...

Modeling Human Expertise in a Sanding Task.

ObjectiveSanding strategies were identified that correlated with better performance and less physical stress.BackgroundSanding requires manual skill b...

Endometriosis and the mental health burden: a registry-based study of redeemed prescriptions and psychiatric hospital contacts before and after diagnosis of endometriosis.

STUDY QUESTION: Do women with endometriosis have a higher use of antidepressants and anxiolytics, and more frequent psychiatric hospital contacts due ...

The Role of ChatGPT in Reducing Preoperative Anxiety in Patients Planning to Undergo Rhinoplasty.

OBJECTIVE: This study investigates the impact of an artificial intelligence (AI) chatbot (ChatGPT-3.5, OpenAI) on preoperative anxiety among patients ...

Immune-Adaptive Transcriptomic Networks Supporting Sustained Milk Production and Reproductive Longevity in Dairy Cows.

In modern dairy systems, sustained milk production over the lifetime of a cow depends critically on maintaining reproductive efficiency across repeate...