Parenting

Dietary nutritional strategies for circadian rhythm regulation: advances, challenges and future directions.

The escalation of urban light pollution and the trend toward a globalized lifestyle have led to a notable increase in circadian rhythm disruption (CRD), which is emerging as a concealed epidemic in contemporary society. Dietary nutritional strategies (DNS) that optimize meal timing, dietary structure, and nutrient composition show promising potential for regulating CR and improving metabolic healt...

Use of Continuous Glucose Monitoring With Machine Learning to Identify Metabolic Subphenotypes and Inform Precision Lifestyle Changes.

The classification of diabetes and prediabetes by static glucose thresholds obscures the pathophysiological dysglycemia heterogeneity, primarily driven by insulin resistance (IR), β-cell dysfunction, and incretin deficiency. This review demonstrates that continuous glucose monitoring (CGM) and wearable technologies enable a paradigm shift toward non-invasive, dynamic metabolic phenotyping. We show...

Generative artificial intelligence-driven chatbots and medical misinformation: an accuracy, referencing and readability audit.

OBJECTIVES: Artificial intelligence (AI)-driven chatbots have been rapidly adopted across research, education, business, marketing and medicine. Most ...

Unsupervised phenotyping of the periodontal architecture through high-dimensional clustering of electronic health records: A multicenter study.

BACKGROUND: To identify novel periodontal phenotypes using unsupervised machine learning on a large-scale, multicenter cohort, specifically characteri...

Beyond Linearity: Transfer Learning Reveals Optimal Biochar Surface Area Window and Suggests Potential Syntrophic Mechanisms in Food Waste Co-Digestion.

UNLABELLED: Anaerobic co-digestion of food waste and paper mill wastewater offers a sustainable waste-to-energy solution, but performance instability ...

Deep learning analysis of soybean cyst nematode effectors to proven soybean resistance genes and homolog identification in the sugar beet-sugar beet root maggot plant pathosystem.

Sugar beet (Beta vulgaris ssp. vulgaris) is one of two plants from which sugar is broadly produced, accounting for 55% of U.S. sugar ($1B, U.S.) and 3...

Microbiome and multi-omics insights into sustainable aquaculture: A triennial systematic review.

Aquaculture is the fastest-growing food production sector, yet intensive practices drive disease outbreaks, antibiotic resistance, and environmental d...

Heavy metal exposure and dental caries in children and adolescents: a NHANES-based analysis integrating machine learning approaches.

BACKGROUND: Dental caries remains a major public health concern among children and adolescents. While established risk factors such as diet and oral h...

Future of Robotics and Integration of Artificial Intelligence: Toward Computer-Assisted Surgery and the Real Democratization of Surgical Care.

Minimally invasive surgery has evolved from a disruptive concept to a cornerstone of modern surgical oncology. The integration of imaging, robotics an...

ChatGPT for obesity management: a review of evidence, potential challenges, and clinical implications.

The global rise in the prevalence of obesity highlights the need for accessible and effective solutions for obesity management. ChatGPT, one of the fa...

Use and Perceptions of Large Language Models Among Dental Students: Implications for Dental Education.

PURPOSE: This study aimed to quantify the prevalence and use cases of large language models (LLMs) among dental students, estimate perceived usefulnes...

Exposome-wide patterns predict brain health in aging.

Promoting brain health is vital for well-being and reducing healthcare burdens. Brain health as measured with the Brain Age Gap (BAG) - the difference...

Machine Learning and Artificial Intelligence in Nutrition Research: Analytical Methods, Applications, and Key Considerations.

Nutrition research is increasingly utilizing artificial intelligence (AI) and machine learning to address analytical challenges posed by high-dimensio...

Co-occurrence patterns of malnutrition indicators among children in sub-Saharan Africa.

BACKGROUND: Despite progress towards SDG2, malnutrition remains a major concern. Little is known about co-occurrence patterns of nutritional deficits,...

Comparative analysis of text readability and writing styles in AI-generated vs. Human-written academic abstracts.

Research article abstracts are vital in scientific publications for readers to assess a study's significance. The increasing use of AI tools, such as ...

Data-Driven Tooth Selection Enhances Partial-Mouth Periodontal Screening.

The high prevalence of periodontitis has imposed a significant global disease burden. Epidemiologic surveys rely on full-mouth periodontal examination...

Enhancing prediabetes and diabetes detection through a machine learning-enabled self-assessment approach.

OBJECTIVES: Reliable, accessible, noninvasive self-assessment screening for prediabetes/diabetes is lacking, leading to missed opportunities for early...

The influence of e-commerce virtual streamer characteristics on consumers' purchase intention: Based on a hybrid SEM-ANN approach.

With the advancement of artificial intelligence technology, virtual streamers have gained significant traction in live streaming e-commerce. Despite t...

[Simulated consciousness, pseudo-empathy and the illusion of attachment: what can psychiatry do with artificial intelligence?].

Over the past decade, the burden of mental disorders has grown while services remain capacity-constrained, pushing generative artificial intelligence ...

From Earthly companions to extraterrestrial countermeasures: rethinking AI-mediated intimacy for long-duration spaceflight through modular autonomous intimacy companion architecture.

The prospect of multi-year missions to the Moon and Mars raises unresolved questions about intimacy, attachment, loneliness and sexual expression in i...