AIMC Topic: Dietary Fiber
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Machine learning based gut microbiota pattern and response to fiber as a diagnostic tool for chronic inflammatory diseases.
BMC microbiology
Jun 6, 2025
Gut microbiota has been implicated in the pathogenesis of multiple gastrointestinal (GI) and systemic metabolic and inflammatory disorders where disrupted gut microbiota composition and function (dysbiosis) has been found in multiple studies. Thus, h...
Machine learning-enhanced modeling and characterization for optimizing dietary Fiber production from Highland barley bran.
International journal of biological macromolecules
Nov 14, 2024
This study investigated the modification of highland barley bran through co-fermentation of Lactobacillus bulgaricus and Kluyveromyces marxianus, and developed a dynamic prediction model for DF content under these co-fermentation conditions using mac...
Association between household income levels and nutritional intake of allergic children under 6 years of age in Korea: 2019 Korea National Health and Nutrition Examination Survey and application of machine learning.
Frontiers in public health
Jan 8, 2024
INTRODUCTION: This study investigated the prevalence of allergic diseases in Korean children aged 6 and below, focusing on the interplay between nutritional status, household income levels, and allergic disease occurrence.
Relative Validation of an Artificial Intelligence-Enhanced, Image-Assisted Mobile App for Dietary Assessment in Adults: Randomized Crossover Study.
Journal of medical Internet research
Nov 21, 2022
BACKGROUND: Thorough dietary assessment is essential to obtain accurate food and nutrient intake data yet challenging because of the limitations of current methods. Image-based methods may decrease energy underreporting and increase the validity of s...
An Innovative Machine Learning Approach to Predict the Dietary Fiber Content of Packaged Foods.
Nutrients
Sep 14, 2021
Underconsumption of dietary fiber is prevalent worldwide and is associated with multiple adverse health conditions. Despite the importance of fiber, the labeling of fiber content on packaged foods and beverages is voluntary in most countries, making ...
Fiber Jamming Transition as a Stiffening Mechanism for Soft Robotics.
Soft robotics
Apr 6, 2020
Robots made of soft materials are demonstrating to be well suited in applications where dexterity and intrinsic safety are necessary. However, one of the most challenging goals of soft robotics remains the ability to change the stiffness of body part...
Alginate fiber toughened gels similar to skin intelligence as ionic sensors.
Carbohydrate polymers
Feb 15, 2020
The stretchable hydrogels provide potential alternatives to bionic skins. However, skin simulation remains seriously challenging due to its complex nature, including mechanical property, protective effect, and sensory capability. Herein, conductive g...
Catalytic Properties of Amylolytic Enzymes Produced by Using Agroindustrial Residues on Solid-State Fermentation.
BioMed research international
Dec 10, 2017
Amylases catalyze the hydrolysis of starch, a vegetable polysaccharide abundant in nature. These enzymes can be utilized in the production of syrups, alcohol, detergent, pharmaceutical products, and animal feed formulations. The aim of this study was...
Sporulated Bacillus as alternative treatment for diarrhea of hospitalized adult patients under enteral nutrition: A pilot randomized controlled study.
Clinical nutrition ESPEN
Sep 6, 2017
BACKGROUND & AIMS: Among hospitalized patients receiving enteral nutrition (EN), malnutrition and antibiotic use are some of the most common causes of diarrhea. Prebiotics and probiotics agents have been used for treatment of diarrhea in such patient...
Family income per capita, age, and smoking status are predictors of low fiber intake in residents of São Paulo, Brazil.
Nutrition research (New York, N.Y.)
Dec 23, 2015
We hypothesized that dietary total fiber intake may be less than recommendations and that the intake of total, soluble, and insoluble fiber may be associated with demographic, lifestyle, and socioeconomic factors. Data were drawn from the Health Surv...
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