Diet & Nutrition

Critical temperature and minimal water preservation of Litopenaeus vannamei in household refrigerators: Survival and quality responses.

Maintaining the survival and quality of Litopenaeus vannamei (L. vannamei) in household settings proves particularly challenging. This study aimed to explore a critical temperature and minimal-water preservation method with supporting equipment, and investigate its effects on the survival, physicochemical properties, and intestinal microbial responses of L. vannamei during preservation. Using sing...

Advances in the Application of Digital Health Technologies in the Management of Patients With Inflammatory Bowel Disease.

Inflammatory bowel disease (IBD) is a chronic disorder that requires long-term follow-up and individualized management. With the rapid development of digital health technologies (DHTs), tools such as telemedicine, smartphone applications, wearable devices, and artificial intelligence (AI) are increasingly integrated into the monitoring, assessment, and follow-up processes for IBD. Drawing on a syn...

A Systematic Review on Applications of Artificial Intelligence for Obesity Prevention.

This systematic review examines the applications of artificial intelligence (AI) in preventing obesity, addressing a critical public health issue that...

Visceral Adipose Tissue Alters Podometrics and Renal Compensation After Uninephrectomy.

INTRODUCTION: Obesity is an established risk factor for chronic kidney disease (CKD). However, excess visceral adipose tissue (VAT) termed visceral ob...

From Nutritional Epidemiology to Clinical Translation: Machine Learning Uncovers Antioxidant-Driven Prevention Strategies for Mitigating Cardiovascular-Arthritis Multimorbidity.

BACKGROUND: The aim of this study was to construct a machine learning (ML) model to predict the effect of dietary antioxidants on cardiovascular-arthr...

Laser-induced breakdown spectroscopy combined with multi-scale convolutional neural network and attention mechanisms for analyzing Dy, Nd, and Yb in uranium polymetallic ores.

BACKGROUND: Complex matrix effects and spectral interference severely limit the capability of laser-induced breakdown spectroscopy (LIBS) for quantita...

The scope of cardiology research: More than 300 topics covered through bibliometric evaluation.

This study provides a bibliometric overview of cardiovascular-related bibliometric research identified in the Scopus database using a title-abstract-k...

From mechanism to application: Harnessing oxidative stress signaling for innovative food design.

As a central pathological process in aging and chronic diseases, oxidative stress (OS) stems from redox imbalance and propagates cellular damage throu...

Evaluating an Artificial Intelligence software for opportunistic low bone mineral density and osteoporosis screening: a validation study.

Despite the profound prevalence and fracture risk of osteoporosis, access to the gold standard DXA scans remains limited, especially in rural communit...

Sustainable silk fibroin scaffolds for bone repair: assessing their osteogenic potential via AI-enhanced synchrotron imaging workflow.

Effective bone regeneration requires scaffolds capable of guiding and supporting new mineralized matrix formation. In this study, silk fibroin constru...

Multifactor machine learning models for predicting urinary tract infections: a pilot study.

PURPOSE: Vitamin D, a fat-soluble prohormone essential for calcium-phosphate homeostasis and bone health, also regulates innate and adaptive immunity ...

Genetic and epigenetic determinants of injury risk and recovery in elite athletes: toward precision sports medicine.

Musculoskeletal injuries and interindividual variability in recovery remain critical challenges for sustaining elite athletic performance. Despite adv...

Advances in endometrial cancer screening: a comprehensive review of current methods and emerging technologies.

Endometrial cancer represents a major global health concern, with rising incidence particularly in developed countries despite declining mortality rat...

Foods from the Mayan milpa: proposal for the metabolic syndrome management.

BACKGROUND: The growing prevalence of metabolic syndrome (MS) is a major public health issue. The traditional Maya milpa diet (MayDiet) offers a promi...

Development and Validation of an Interpretable Machine Learning Model for Predicting Early Fusion After Anterior Cervical Discectomy and Fusion.

STUDY DESIGN: Retrospective case-control study. OBJECTIVES: This study aimed to develop and preliminarily validate a machine learning (ML) model for p...

AI-powered literature mining reveals the therapeutic significance of GLP-1 receptor: Simulation of natural agonist candidates based on molecular dynamics.

Glucagon-like peptide-1 (GLP-1), a pivotal incretin hormone modulating glycemic homeostasis, has emerged as a clinically validated target for the trea...

Comparing ChatGPT and DeepSeek for ultra-processed food classification: AI models for nutritional research and dietary assessment.

OBJECTIVES: There is growing evidence linking the consumption of ultra-processed foods (UPFs) to adverse health outcomes. Accurate classification of f...

Developing explainable machine learning models from biochemical and clinical data to predict all-cause and cause-specific mortality in CVD-cancer comorbidity: A longitudinal study based on NHANES.

BACKGROUND: Cardiovascular disease (CVD) and cancer are leading causes of mortality, often coexisting in aging populations. Patients with comorbiditie...

Artificial Intelligence Across the Obesity Continuum: From Mechanistic Insights to Global Precision Prevention and Therapy.

Obesity is a complex, rapidly escalating global health challenge that demands innovation across biology, clinical care, and public health. This review...

Machine learning integrated visible diffuse reflectance spectroscopy for in-situ analysis of phosphorus status in Arabidopsis plants under soilless culture.

Phosphorus (P) is a vital macronutrient for plant growth, but its limited availability in soil due to fixation renders up to 80 % of fertilizers ineff...