Prescriptions

The role of social media influencer promotion in initiation and use of cigar, little cigar, cigarillo, and cannabis products among US youth and young adults: Using exogenous marketing exposure measures.

BACKGROUND: Influencer marketing on social media is a powerful, yet under-examined, driver of youth and young adult substance use. Yet, reliably identifying influencer promotion and measuring its effects, particularly at community level, remains challenging. Influencers rarely disclose brand relationships, and conventional self-reported exposure metrics fail to capture the complex digital media en...

Determinants of the Perceived Ageism Index using theory-driven and data-driven approaches: evidence from the Türkiye Elderly Profile Survey 2023.

OBJECTIVES: This study examines the multidimensional determinants of perceived ageism using a combined theory- and data-driven framework based on nationally representative Türkiye Elderly Profile Survey (2023) data, identifying age-specific risk and protective factors through an index-based measure. METHOD: Using a cross-sectional design, perceived ageism was measured with an 11-item scale split i...

A multi-task heterogeneous graph learning with cross-attention fusion for robust recommendation.

Recommender systems based on graph neural networks have demonstrated strong capability in modeling complex user-item interactions; however, their perf...

Proteomics for precision nutrition: current evidence and future directions.

PURPOSE OF REVIEW: This review critically evaluates proteomics research applied to clinical nutrition and metabolism published between mid-2024 and ea...

Identifying neuroimaging-based biomarkers for obsessive-compulsive disorder: A resting-state fMRI and machine learning study in patients and unaffected first-degree relatives.

BACKGROUND: Identifying whether brain alterations in obsessive-compulsive disorder (OCD) represent the illness itself or an underlying genetic vulnera...

Moisture-driven, self-powered noncontact sensing interfaces via turbulence-tailored hygroelectronic effect.

Noncontact human-machine interfaces (HMIs) provide a hygienic and intelligent approach for the communication between human and robots. However, they a...

A hybrid dual-stream CNN framework with dynamic data augmentation and improved Manta Ray Foraging Optimization for robust glaucoma detection.

A progressive neurological condition, glaucoma is one of the main causes of irreversible blindness in the globe. Early detection is crucial to prevent...

Deep learning based instance segmentation of mandarin fruit slices for precision assessment and morphological quantification.

Accurate instance segmentation of mandarin fruit slices is essential for quantifying segment morphology and central core structure, which are key trai...

Multidimensional urban morphology and carbon intensity: Nonlinear drivers in dense cities.

Urban morphology (UM) significantly influences carbon emissions (CEs), yet fine-scale mechanisms involving three-dimensional (3D) structure and natura...

Ultra-Robust and Hyperelastic Triboelectric Webbing for Self-Powered Rehabilitation Sensing with Invisible and Embedded Design.

Driven by the rapid evolution of flexible electronics, rehabilitation healthcare is shifting toward devices that seamlessly interface with human body....

Design and first experimental results of an edgeless PET prototype for breast imaging: DeepBreast.

BACKGROUND: Breast cancer causes the largest number of cancer-related deaths among women worldwide. With the aim of improving Positron Emission Tomogr...

Reimagining human-centric drug development with new approach methodologies.

Despite unprecedented technological progress, most drug candidates continue to fail in clinical trials, reflecting a persistent gap between preclinica...

Nursing Perceptions of the Intended Use of Artificial Intelligence to Prevent Medication Errors: A Qualitative Descriptive Study.

AIM: To explore the perceptions of nursing professionals in high-demand healthcare services regarding the adoption of AI-based support systems for the...

AI-enhanced approaches for personalized cardiac treatment: insights from ECG data.

The analysis of drug-induced alterations in the electrocardiogram (ECG) is essential in measuring cardiac safety, but manual analysis is not always ac...

Personalizing In-Vehicle warnings: A causal machine learning approach to optimizing workload and risk perception.

The effectiveness of in-vehicle Connected Information (CI) is often limited by uniform warning strategies that overlook the interaction among warning ...

Speaking Patient's Language: Assessment of Readability and Fidelity of Artificial Intelligence-Optimized Consent Forms.

INTRODUCTION: Informed consent requires patients to fully comprehend the risks, benefits, and alternatives of an intervention. The American Medical As...

HP-DIL: Deep heterogeneity profiling with graph-informed disentangled interaction learning for MRI-based liver fibrosis staging.

Liver fibrosis staging (LFS) informs treatment decisions and prognostic assessment in liver disease. Multiparametric MRI enables non-invasive, quantit...

Fact-Checking Large Language Model Responses to a Health Care Prompt: Comparative Study.

BACKGROUND: Large language models use machine learning to produce natural language. These models have a range of potential applications in health care...

Applications of Machine Learning, Natural Language Processing, and Generative Artificial Intelligence in Dermatology Education and Research: A Scoping Review.

Artificial intelligence (AI) is being increasingly used in dermatology education and research as digital health data expands and large language models...

Integrated multi-omics and machine learning identify Casp8 and Pycard as central regulators of pyroptosis and necroptosis in spinal cord injury.

Programmed cell death pathways exacerbate secondary damage after spinal cord injury, yet their shared regulators and tractable therapeutic points rema...