Diet & Nutrition

Artificial Intelligence and Machine Learning Resource Guide: The Academy of Nutrition and Dietetics and the American Society for Nutrition Joint Taskforce for Artificial Intelligence.

Central Obesity Measured by Weight-Adjusted Waist Index Is Associated With Lean MASLD.

BACKGROUND: In individuals with normal body weight, altered fat distribution contributes to metabolic dysfunction and hepatic steatosis. We hypothesized that the weight-adjusted waist index (WWI), an indicator of abdominal fat accumulation, is associated with lean MASLD. METHODS: We analyzed lean adults from 2017-March 2020 pre-pandemic (N = 824). MASLD was defined using controlled attenuation par...

Growth curve models for weight among children up to 2 years: a scoping review.

OBJECTIVE: The aim of this scoping review was to systematically identify and map the literature on statistical and mathematical approaches used to est...

Artificial Intelligence and Machine Learning Resource Guide: The Academy of Nutrition and Dietetics and the American Society for Nutrition Joint Taskforce for Artificial Intelligence.

A Review of Vagus Nerve Stimulation for Disease: Comprehensive Theory and Evidence for Mechanisms of Action.

Vagus nerve stimulation (VNS) is an established neuromodulatory therapy approved for epilepsy, depression, obesity, stroke rehabilitation, rheumatoid ...

Development and Internal Validation of a Gradient Boosting Model for Pressure Injury Risk in the ICU.

Pressure injury (PI) is common in the ICU and not well captured by single-risk tools such as the Braden scale. We aimed to develop and internally vali...

Re: Artificial intelligence in the management of hospital malnutrition: A systematic review Clinical Nutrition ESPEN Volume 70, December 2025, Mancin et al.

The future of digital innovation in transforming food safety systems in the developing world.

Low- and middle-income countries bear the most significant burden of foodborne diseases, impacting their food and nutrition security, trade, and ultim...

Artificial intelligence in pediatric endocrinology: clinical applications, governance, and future directions.

PURPOSE OF REVIEW: Artificial intelligence has transitioned from theoretical promise to practical implementation across medicine including pediatric e...

Characterising oral microbial signatures for periodontal disease in the NHANES population.

OBJECTIVE: This study aims to characterise the relationship between the oral microbiota and periodontal disease (PD) by leveraging the latest and larg...

Physicochemical Principles Governing the Intrinsically Disordered Salivary Peptide Histatin 5: Ensemble Structure, Electrostatics, and Environmental Responsiveness.

Histatin 5 (Hst5) is a histidine-rich intrinsically disordered protein (IDP) whose biological function arises from a highly heterogeneous conformation...

Identification of biomarkers associated with endoplasmic reticulum stress-related cell death in osteoporosis based on bulk and single-cell transcriptomic analyses and experimental validation.

Osteoporosis (OP) is a metabolic bone disease characterized by low bone mineral density (BMD), and its pathogenesis involves endoplasmic reticulum (ER...

Univariate- and machine learning-based plasma metabolite signature differentiates PSC-IBD from IBD and is predicted to be driven by gut microbial changes.

INTRODUCTION: Inflammatory bowel disease (IBD) is a group of chronic inflammatory conditions of the gastrointestinal tract comprising two major phenot...

Machine and Deep Learning Models for Preoperative Prediction of Suboptimal Clinical Response One Year after Metabolic Bariatric Surgery: Findings from the Tehran Obesity Treatment Study.

Association between triglyceride-glucose index and related indicators with heart failure-related mortality in individuals with early-stage cardiovascular-kidney-metabolic syndrome.

BACKGROUND: Insulin resistance is a central pathophysiological feature of cardiovascular-kidney-metabolic (CKM) syndrome and has been implicated in ad...

DoTT-ML: Condition-aware detection of transcriptional readthrough from RNA-seq with optional ML-based prioritization.

Disruption of transcription termination (DoTT) occurs when RNA polymerase II reads past a gene's normal 3' end, generating downstream "readthrough" RN...

Multi-omics and machine learning reveal a critical mediator of PRKCA in quercetin-mediated protection against Sarcopenia.

BACKGROUND: Sarcopenia, the age-associated loss of skeletal muscle mass and function, poses a growing public health challenge. Although dietary flavon...

Development and validation of a tool for detecting misinformation risk in diet, nutrition, and health content (Diet-MisRAT).

High-density lipoprotein-related inflammatory ratios and coronary heart disease: A cross-sectional machine learning analysis of NHANES 2009 to 2020.

High-density lipoprotein (HDL)-related inflammatory ratios (monocyte-to-HDL cholesterol ratio [MHR], lymphocyte-to-HDL cholesterol ratio, neutrophil-t...

Human Activities Dominate Global Trends in Terrestrial Phosphorus Deposition.

Atmospheric deposition of phosphorus (P) has multitudes of environmental implications, but quantifying and validating its spatial and temporal pattern...