Diet & Nutrition

Patient specific optimization and planning of vertebral augmentation in osteoporosis: Finite element and Artificial Intelligence approaches.

BACKGROUND: Osteoporotic Vertebral Compression Fractures (OVCFs) are responsible for significant disability, especially among individuals with low Bone Mineral Density (BMD). Although vertebral augmentation methods such as percutaneous vertebroplasty and kyphoplasty offer rapid pain relief and stability, the optimal combination of bone cement properties like volume, elasticity, and distribution re...

Step Counts and Stepping Intensity Among U.S. Adults: National Health and Nutrition Examination Survey 2011-2014.

OBJECTIVES: To characterize stepping in a nationally representative sample of U.S. adults by age, sex, and race and ethnicity. METHODS: Step counts are a simple, scalable metric of physical activity associated with lower mortality and chronic disease risks. However, nationally representative estimates of step volume and intensity across demographic groups remain limited. We analyzed data from U.S....

International consensus on adolescent metabolic health: prevention of obesity and type 2 diabetes.

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...

Association between diagnostic history and cancer incidence within 5 years: a real-world observational analysis.

Cancer is associated with many pre-existing health conditions (PHCs), but accurately quantifying these links remains challenging. Although some studie...

Integrating Sperm Microscopy, Environmental Exposures, and Lifestyle Factors for Male Fertility Analysis: Protocol for the Nippon Semen and Environmental Exposure Database (N-SEED) Cross-Sectional Study.

BACKGROUND: Conventional semen analysis does not fully capture male reproductive potential. The sperm DNA fragmentation index (DFI) may detect latent ...

Japanese sports dietitians' evidence-based practice implementation is associated with academic degree and English reading ability: A cross-sectional survey.

BackgroundSport Nutrition is a fast-growing academic subject. Language and/or insufficient training will be barriers to evidence-based practice (EBP) ...

Postbiotics and paraprobiotics in food biochemistry mechanisms stability and nutritional applications.

Postbiotics, defined as preparations of inanimate microorganisms and their components that confer health benefits, are emerging as stable and safe alt...

Dietary geroprotective peptides: structural determinants, AI-driven discovery, and synthetic biology production for healthy ageing.

Ageing is characterised by progressive physiological decline, driving global interest in interventions that target its fundamental mechanisms. Dietary...

Integrated multi-omics analysis identifies TBC1D10C as an NK- and T cell-associated diagnostic biomarker in childhood obesity.

Childhood obesity is a growing global health crisis associated with an increased risk of metabolic and cardiovascular diseases in adulthood. While acc...

Identification and Validation of Transcriptomic Signatures in Inflammatory Bowel Disease with Metabolic Syndrome via Bioinformatics and Machine Learning.

BACKGROUND: Inflammatory bowel disease (IBD) is a chronic, nonspecific inflammatory disorder affecting the gastrointestinal tract. The condition's pat...

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...

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 drive...

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 ...

A global perspective on autoimmunity and immunodeficiency: exploring geoepidemiology trends.

Autoimmune and primary immunodeficiency disorders represent a growing global health burden influenced by a complex interplay of genetic, environmental...

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 ...

Multiscale analysis and optimal glioma therapeutic candidate discovery using the CANDO platform.

Glioma is a highly malignant brain tumor with limited treatment options. We employed the Computational Analysis of Novel Drug Opportunities (CANDO) pl...

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...

Intelligence-driven Mechanomedicine for Weight Rebound in Obesity.

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...