Cultural Competence

Can heavy metal accumulation in crops be mitigated by microbial inoculants? A meta-analysis and machine learning.

"Hidden hunger" and heavy metal contamination in agricultural products pose critical challenges to agricultural security, with microbial inoculants offering a potential pathway for synergistic mitigation. This study conducted a systematic meta-analysis from 442 studies, exploring the regulation and mechanisms of microbial inoculants on crop essential and toxic heavy metal contents. Results indicat...

Care Robots as Emerging Health Technologies: Systematic Review and Meta-Analysis of Randomized Controlled Trials.

BACKGROUND: Global aging and health care workforce shortages are increasing demand for therapeutic support among older adult and pediatric populations. Care robots, an umbrella term for socially assistive robots, companion and pet platforms, and therapeutic humanoids sharing a social interaction component, have been proposed as embodied digital health adjuncts, but prior syntheses have remained po...

Therapeutic Interaction Features of AI Chatbots in Depression Interventions: Systematic Review and Meta-Analysis.

BACKGROUND: Depression is a prevalent mental health disorder and a leading cause of disability worldwide, creating substantial personal and societal b...

Decoding Algorithmic Inequity: Reversing the Generative AI Racial Divide in Healthcare.

Artificial intelligence is rapidly transforming healthcare delivery. Over the past decade, studies have increasingly demonstrated that healthcare AI s...

Exploring the operational challenges of navigating ethical oversight in the era of artificial intelligence: a qualitative study of health research ethics committees in Tanzania.

BACKGROUND: Health Research Ethics Committees (HRECs) play a pivotal role in safeguarding research participants and ensuring ethical conduct. The rapi...

Personalized Driven Instruction Through Explainable Agentic AI in Multicultural Higher Education Environments.

The need for intelligent, transparent, and adaptive personalized instruction systems has increased due to the quick diversification of higher educatio...

MeLSI: Metric Learning for Statistical Inference in microbiome community composition analysis.

Microbiome beta diversity analysis relies on distance-based methods, including permutational multivariate analysis of variance (PERMANOVA) combined wi...

Artificial intelligence in the imaging diagnosis of gallbladder and bile duct stones: a systematic review.

BACKGROUND: Gallbladder and bile duct stones (cholelithiasis and choledocholithiasis) represent a major global health burden. Conventional imaging mod...

Differential Effects of Prenatal Depression and Anxiety on Infant Sleep: Dual-Pathway Mechanisms Involving the HPA Axis and the Gut-Brain Axis.

STUDY OBJECTIVES: Prenatal psychological distress is associated with adverse offspring outcomes, including infant sleep disturbances and altered gut m...

State-of-the-art technologies for the digital transformation of healthcare services - a systematic scoping review.

BACKGROUND: The implementation of digital technologies within health services promises increased performance, quality, and efficiency. However, eviden...

DeepMASS v2: An enhanced deep learning platform for large-scale discovery and structural annotation of unknown plant metabolites.

Structural elucidation of unknown metabolites remains a fundamental bottleneck in plant metabolomics, where the vast chemical diversity of plant secon...

Diversity of Iodinated Water Disinfection Byproducts and Their Formation Dynamics Discovered Using Exposome-Scale Nontargeted Analysis and Machine Learning.

Water disinfection is critical to minimizing microbial risk, but unintentionally produces disinfection byproducts (DBPs). Exposure to the currently re...

Genomic scale analysis of assembly-line polyketide synthase diversity and evolution.

Covering: up to 2026Assembly-line polyketide synthases (PKSs) are among the most sophisticated catalysts in nature, responsible for the biosynthesis o...

Improving Models to Predict Care Utilization Using Machine Learning: Retrospective Observational Study.

BACKGROUND: The use of artificial intelligence and machine learning (ML) tools is now common in the advancement of health care services and clinical r...

Large Language Models for Breast and Cervical Cancers Communication: Mixed Methods Evaluation Study Assessing Linguistic Quality, Safety, and Accessibility.

BACKGROUND: Effective communication about breast and cervical cancers remains a public health challenge, with widespread misinformation and barriers t...

Selecting, Scaling, and Measuring the Value of Ambient AI in a Nonacademic Health System: Multiphase Pilot Study.

BACKGROUND: Most US health systems operate on a local or regional scale and face substantial financial and staffing pressures, which are intensified b...

Microeukaryotes are more vulnerable than picoeukaryotes to reservoir salinization: Evidence from multi-year high-frequency monitoring.

In freshwater ecosystems, rising salinity driven by factors such as climate change and urbanization can severely threaten ecosystem services. Eukaryot...

Artificial Intelligence Approaches for Osteoporotic Fracture Risk Prediction Using Administrative Health Data: A Systematic Review.

To systematically review Machine Learning (ML) fracture risk prediction models developed solely using administrative data, evaluating their developmen...

Associations of indoor bacterial, metabolomic, and other chemical exposures with allergic rhinitis in school-aged children.

BACKGROUND: The indoor environment has been implicated as a critical factor in the development of allergic diseases. However, the interplay among indo...

Both chronological age and individual differences in aging are the two indispensable components for predicting biological age.

Due to the lack of a gold standard for biological age (BA), existing studies usually adopt chronological age (CA) as the training label when construct...