Anxiety & Stress

The lived experience of social anxiety disorder: A conceptual model focused on adolescents and young adults based on published literature and social media listening.

Social anxiety disorder (SAD) affects up to 1 in 8 individuals over their lifetime and is characterized by an intense fear of social situations involving unfamiliar people or possible scrutiny. This retrospective observational study reviewed published literature from PubMed and analyzed data from Reddit using social media listening (SML) to understand the lived experience of individuals with SAD. ...

An exploratory randomized controlled trial of an AI-enabled mental health intervention for generalized anxiety.

Generalized Anxiety Disorder (GAD) is prevalent and often co-occurs with depression, contributing to significant disability and healthcare burden. Although treatments such as CBT and SSRIs are effective, access remains limited. This exploratory, randomized controlled trial evaluated the effectiveness of an AI-powered mental health app (PATH) in reducing symptoms of anxiety and depression. A total ...

Integrated network pharmacology and bioinformatics analysis reveals MME as key target of Notoginsenoside R1 in diabetic nephropathy.

BACKGROUND: Diabetic nephropathy (DN) is a major diabetes complication and a primary cause of end-stage renal failure. Notoginsenoside R1 (NGR1) is kn...

Improving patient understanding of radiology reports using generative artificial intelligence: a vignette study of 2000 US adults.

OBJECTIVES: Patients value access to their medical reports on patient portals, but the terminology in those reports can cause confusion and anxiety. C...

Predicting Depression Risk Among Chinese College Students From Childhood Adversity and Recent Stress Exposure Using Interpretable Machine Learning.

Previous research has shown that both early-life stressors (e.g., adverse childhood experiences) and recent stress exposure (e.g., recent life events)...

A comprehensive analysis reveals the molecular mechanisms linking preservatives to prostate cancer risk.

BACKGROUND: Preservatives, widely used in food and skincare products, may influence prostate cancer (PCa) development. This study explores the effects...

Identifying a conserved transcriptional signature of drought and salt stress in Arabidopsis thaliana through meta-analysis, consensus network analysis, and deep learning.

Understanding plant responses to abiotic stress is critical for improving stress resilience. Here, we performed an integrative analysis that uniquely ...

Disulfidptosis in osteoarthritis: Role of SLC2A3 downregulation and potential therapeutic implications.

OBJECTIVE: Disulfidptosis is a newly recognized form of regulated cell death characterized by actin cytoskeleton collapse under disulfide stress. Rece...

Oxidative stress-associated genes TPPP3 and VEGFA in COPD revealed by bulk and single-cell sequencing analysis.

Chronic obstructive pulmonary disease (COPD) is characterized by chronic airway inflammation and is closely linked to oxidative stress. This study aim...

Emerging roles of artificial intelligence/machine learning (AI/ML) towards new understandings in molecular crosstalk between circRNA-CUL3-TKI to resensitize chemoresistant cancers.

Cancer arises and is resistant to therapy via intricate molecular networks that are poorly characterised. While individually, Cullin-3 (CUL3) and circ...

Where is the 'Anxious' in climate anxiety? Evidence from Chinese social media big data.

Climate anxiety has emerged as a significant global psychological and social response to climate change, potentially shaping public engagement and sup...

Health trajectories of patients with amyotrophic lateral sclerosis before and after initiation of non-invasive ventilation: a French nationwide database analysis.

BACKGROUND: Management of amyotrophic lateral sclerosis (ALS) is complicated by heterogeneous presentation and unpredictable disease course. This stud...

Childhood dyslexia risk elevated by heavy metal mixtures from e-waste: A machine learning-driven mixture modeling study.

Environmental heavy metal mixtures from informal e-waste recycling are potential neurotoxicants, but their link to developmental dyslexia remains uncl...

Identification of the biomarkers associated with lipid metabolism and endoplasmic reticulum stress in pediatric sepsis through bioinformatics analysis and quantitative reverse transcriptase PCR (qRT-PCR) assay.

BACKGROUND: Sepsis constitutes a critical clinical condition characterized by organ failure and systemic inflammation, especially affecting children. ...

A quantitative, multimodal wearable bioelectronic device for comprehensive stress assessment and sub-classification.

Stress is a universal experience impacting mental and physical health. However, no precise, objective wearable tool exists for continuous, long-term s...

Attitudes toward artificial intelligence and impostor phenomenon among nursing students: A five-country cross-sectional study.

BACKGROUND: AI tools are increasingly visible in nursing education and practice, yet student exposure and acceptance vary across settings. Limited dig...

Photoplasticity behavior in inorganic semiconductors: unraveling fundamental mechanisms across ionic and covalent systems.

Inorganic semiconductors exhibit photoplasticity, where light exposure alters dislocation-mediated plastic flow based on the material's bonding charac...

Neuroimmune Cross-Talk and Multilevel Cascades in Fentanyl Toxicity: Interplay of Hypoxic Stress, Glial Activation, and Synaptic Dysregulation in Systems-Level Neurodegeneration.

Fentanyl, an ultra-potent synthetic opioid, has traditionally been characterized by its acute toxic effects, particularly respiratory depression. Howe...

The Development and Use of AI Chatbots for Health Behavior Change: Scoping Review.

BACKGROUND: Artificial intelligence (AI) chatbots are technologies that facilitate human-computer interaction through communication in a natural langu...

Novel bayesian nonparametric unsupervised learning approach to precision symptom management in cancer survivors: a re-analysis of a comparative effectiveness trial.

Cancer survivors often experience multiple cooccurring symptoms such as insomnia, pain, fatigue, and anxiety; yet conventional analyses in symptom sci...