Diet & Nutrition

Construction of a predictive model for the risk of non-alcoholic fatty liver disease in patients with sleep apnea syndrome based on multiple machine learning algorithms: a multicenter study.

BACKGROUND: Sleep apnea syndrome (SAS) is closely related to an increased risk of non-alcoholic fatty liver disease (NAFLD), but current clinical tools lack the integration of multidimensional data for accurate risk prediction. This study employs various machine learning algorithms to develop and validate a risk prediction model for the occurrence of NAFLD in SAS patients. METHODS: This retrospect...

Beyond eGFR and Albuminuria: Biological Pathways and Multiomics in Cardiovascular-Kidney-Metabolic Disease.

Cardiovascular-kidney-metabolic disease (CKM) represents a growing public health challenge driven by the convergence of obesity, diabetes, and cardiovascular risk within aging populations. Despite major therapeutic advances, risk stratification remains anchored to conventional markers such as creatinine, urine albumin-to-creatinine ratio, natriuretic peptides, troponins, lipids, and glycated hemog...

Phenotyping Preeclampsia Using Unsupervised Machine Learning: A Prospective Cohort Study.

OBJECTIVE: To explore clinically meaningful phenotypes of preeclampsia using unsupervised machine learning. DESIGN: Prospective cohort study. SETTING:...

Comment on "Artificial intelligence in clinical nutrition: A narrative review".

Reply on comments. CLNESP-D-26-0000740. Original article: "Artificial Intelligence in Clinical Nutrition. A Narrative Review.".

A comparative study on in-situ and ex-situ microwave catalytic co-pyrolysis for phenolic bio-oil production through machine learning and response surface methodology.

The production of phenolic-rich bio-oil from biomass is a promising route for sustainable chemical generation. This study investigates the effects of ...

Identifying significant environmental predictors of change in delay discounting among adolescents in the Adolescent Brain Cognitive Development Study.

Delay discounting (a preference for smaller immediate rewards vs. larger delayed rewards; DD) is a transdiagnostic risk factor for health outcomes inc...

Cardiovascular Disease Events and Life Expectancy Lost Attributable to Machine Learning-Derived Dietary Networks: Evidence from Canadian National Nutrition Survey Linked to Routinely Collected Administrative Databases.

BACKGROUND: Artificial intelligence and machine learning (ML) are transforming nutritional epidemiology by revealing dietary network structures invisi...

Understanding Cell Wall Enzyme Function: From Classical Approaches to New Biotechnology.

Plant cell walls are complex networks of polysaccharides that underpin plant structure and provide dietary fibers that promote human health. These pol...

Identification of key genes related to macrophages and metabolic reprogramming in myocardial infarct based on single-cell and bulk transcriptomics data and experimental validation.

BACKGROUND: Myocardial infarction (MI), one of the most severe cardiovascular diseases, is influenced by altered macrophage status and metabolic repro...

Retinal biological age correlates with bone mineral density and fracture risk score and predicts incident osteoporosis.

Osteoporosis often lacks accessible screening tools, leading to underdiagnosis and increased fracture risk. We explored the potential of a retinal agi...

Tetrahedral framework nucleic acids as a promising vehicle for small molecule drugs of traditional Chinese medicine: application to disease prevention and treatment.

The modernization of Traditional Chinese Medicine (TCM) faces considerable challenges, primarily due to the poor water solubility, low chemical stabil...

Lower odds of prevalent vertebral fractures with b/tsDMARD use among rheumatoid arthritis patients in clinical remission: a retrospective observational study.

OBJECTIVES: This study investigated serum pentosidine levels as an advanced glycation end product (AGE)-related marker of bone matrix deterioration an...

Wearable Sensors for Monitoring Neurogenic Dysphagia: A Scoping Review.

Neurological disorders, such as Parkinson's disease and stroke, often lead to neurogenic dysphagia, a swallowing disorder that compromises nutrition a...

Element-to-mineral-properties conversion (EMPC) via MARSpline for 3D geometallurgical modeling of the Koashva Apatite-Nepheline Deposit, Kola Peninsula, Russia.

Efficient processing of complex ores is often hampered by an incomplete understanding of the spatial distribution of critical mineralogical properties...

Altered effective connectivity between the prefrontal cortex and caudate in children with overweight and obesity.

OBJECTIVE: This study aimed to examine the interaction patterns between the reward and inhibitory control systems in children with overweight and obes...

Integrative analysis of the mouse cecal microbiome across diet, age, and weight in the diverse BXD population.

BACKGROUND: The gut microbiota adapts to and shapes the host's metabolic state through affecting circulating metabolites and consequent gene regulator...

Experiences and Perceived Influence of the Artificial Intelligence-Based Health Education Accurately Linking System (AI-HEALS) on Health Behaviors Among Patients With Type 2 Diabetes: Qualitative Study.

BACKGROUND: The management of type 2 diabetes requires sustained self-management across diet, physical activity, medication adherence, and blood gluco...

Vertebral fractures identified on lateral DXA images by deep learning predict incident fractures in older women.

UNLABELLED: XVFA is an AI-based method for identifying vertebral fractures on DXA images. In 423 women followed for 8 years, vertebral fractures ident...

Big data and artificial intelligence in animal nutrition: a new era of precision feeding.

The convergence of Big Data and Artificial Intelligence (AI) is redefining animal nutrition by enabling precision feeding systems that are individuali...