AI Medical Compendium Journal:
Frontiers in nutrition

Showing 1 to 10 of 28 articles

Seasonal fluctuation of total water intake and hydration status among young men and women: a prospective cohort study.

Frontiers in nutrition
BACKGROUND: Water intake and hydration status have been reported to fluctuate throughout the year. This study investigated seasonal fluctuations of total water intake and hydration status among young adults in Baoding, China.

Acute effect of endurance exercise on human milk insulin concentrations: a randomised cross-over study.

Frontiers in nutrition
INTRODUCTION: Insulin is present in human milk and its concentration correlates with maternal circulating levels. Studies on the association between human milk insulin concentrations and infant weight or growth show conflicting results, but some stud...

Comparative analysis of phytonutrients of leaves from South Africa and Nigeria, and their antimicrobial and antioxidant potentials by UPLC-ESI-QToF-MS and OPLS-DA chemometric analysis.

Frontiers in nutrition
BACKGROUND: Lam. has bioactive phytonutrients in abundance and offers diverse health benefits. The leaves of this plant have established significance in traditional medicine and nutrition. It is traditionally used by Nigerian and South African mothe...

A cohort study of serum 25-hydroxyvitamin D levels and the risk of hyperlipidaemia in adults.

Frontiers in nutrition
OBJECTIVE: This study aims to investigate the potential association between serum 25(OH)D levels and the risk of hyperlipidemia in adults through a prospective cohort study conducted in Zhejiang Province.

Analysis of the sensitization activity of leaves protein.

Frontiers in nutrition
The determination of allergenic proteins in leaves, which is the main components of immune activity, has enabled the development of a more effective method for evaluating the activity of extracted leaves protein. In this study, the extraction proce...

The potential of short-wave infrared hyperspectral imaging and deep learning for dietary assessment: a prototype on predicting closed sandwiches fillings.

Frontiers in nutrition
INTRODUCTION: Accurate measurement of dietary intake without interfering in natural eating habits is a long-standing problem in nutritional epidemiology. We explored the applicability of hyperspectral imaging and machine learning for dietary assessme...

Prospects of cold plasma in enhancing food phenolics: analyzing nutritional potential and process optimization through RSM and AI techniques.

Frontiers in nutrition
Consumption of plant-based food is steadily increasing and follows an augmented trend owing to their nutritive, functional, and energy potential. Different bioactive fractions, such as phenols, flavanols, and so on, contribute highly to the nutritive...

Risk prediction models for feeding intolerance in patients with enteral nutrition: a systematic review and meta-analysis.

Frontiers in nutrition
BACKGROUND: Although more risk prediction models are available for feeding intolerance in enteral-nourishment patients, it is still unclear how well these models will work in clinical settings. Future research faces challenges in validating model acc...

A data-driven machine learning algorithm to predict the effectiveness of inulin intervention against type II diabetes.

Frontiers in nutrition
INTRODUCTION: The incidence of type 2 diabetes mellitus (T2DM) has increased in recent years. Alongside traditional pharmacological treatments, nutritional therapy has emerged as a crucial aspect of T2DM management. Inulin, a fructan-type soluble fib...

Improved health outcomes of nasopharyngeal carcinoma patients 3 years after treatment by the AI-assisted home enteral nutrition management.

Frontiers in nutrition
OBJECTIVES: Patients with nasopharyngeal carcinoma (NPC) are prone to malnutrition, which leads to deterioration of health. This study is to clarify the effect of Artificial intelligence (AI)-assisted home enteral nutrition (HEN) management mode on t...