Primary Care

Diet & Nutrition

Latest AI and machine learning research in diet & nutrition for healthcare professionals.

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Showing 1156-1176 of 2,514 articles
Clinical implication of monitoring rivaroxaban and apixaban by using anti-factor Xa assay in patients with non-valvular atrial fibrillation.

BACKGROUND: Although patients taking non-vitamin K antagonist oral anticoagulants (NOACs) do not req...

Sep 2015 26949430
Teriparatide for the rapid resolution of delayed healing of atypical fractures associated with long-term bisphosphonate use.

Bisphosphonates (BPs) are the most widely used drugs to treat osteoporosis. However, recent reports ...

Aug 2015 27708978
Machine Learning Techniques for Prediction of Early Childhood Obesity.

OBJECTIVES: This paper aims to predict childhood obesity after age two, using only data collected pr...

Aug 2015 26448795
Low Vitamin D Levels in Children with Fractures: a Comparative Cohort Study.

BACKGROUND: The currently accepted ranges for "normal" serum vitamin D have recently been challenged...

Aug 2015 26981060
Aromatase inhibitor treatment for breast cancer: short-term effect on bone health.

AIM OF THIS STUDY: Aim of this study was to examine the effects of aromatase inhibitors (AIs), which...

Aug 2015 26793021
Broiler responses to digestible threonine at different ages: a neural networks approach.

Three experiments were conducted with broiler chickens to evaluate the effects of digestible threoni...

Aug 2015 26249314
Myocardial function in Saudi adolescents with vitamin D deficiency: Tissue Doppler imaging study.

Vitamin D deficiency is a common health problem in Saudi Arabia especially in children and adolescen...

Jun 2015 26778902
Development of an antidiabetic formulation (ADJ6) and its inhibitory activity against α-amylase and α-glucosidase.

There has recently been much advancement in the diagnosis, treatment, and research of metabolic diso...

Feb 2015 27419082
Obesity and perioperative pulmonary complications in robotic gynecologic surgery.

OBJECTIVE: Robotic gynecological surgery is feasible in obese patients, but there remain concerns ab...

Jan 2015 25637843
Refining in silico simulation to study digestion parameters affecting the bioaccessibility of lipophilic nutrients and micronutrients.

Despite the considerable number of in vivo and in vitro studies on the digestive fate of lipophilic ...

Oct 2014 25340470
Appraisal of adaptive neuro-fuzzy computing technique for estimating anti-obesity properties of a medicinal plant.

This research examines the precision of an adaptive neuro-fuzzy computing technique in estimating th...

Oct 2014 25453384
ViTAMIn-O: Democratizing computer vision-based machine learning for stem cell research

Deep Learning (DL) holds exciting potential in automating the prediction of organoid differentiation...

Progeny differentiation in faba bean using hyperspectral images and machine learning

Though currently a minor crop, faba bean is a promising source of plant-based protein as global diet...

Factors Influencing Vitamin D Status in Guiyang, China: A Random Forest and SHAP Analysis

Objective To assess serum 25-hydroxyvitamin D [25(OH)D] levels in a health examination population in...

Use of Large Language Models by U.S. Adults to Support Exercise: A Survey Study

Background: Large Language Model (LLM) chatbots are increasingly used for exercise and fitness topic...

OmniFood8K: Single-Image Nutrition Estimation via Hierarchical Frequency-Aligned Fusion

Accurate estimation of food nutrition plays a vital role in promoting healthy dietary habits and per...

V-Nutri: Dish-Level Nutrition Estimation from Egocentric Cooking Videos

Nutrition estimation of meals from visual data is an important problem for dietary monitoring and co...

Cyclome: Large-scale replica-exchange dynamics of 930 cyclic peptide reveal thermal stability and critical metal-binding behavior

Cyclic peptides are recognized as versatile scaffolds for therapeutic and functional applications du...

DietDelta: A Vision-Language Approach for Dietary Assessment via Before-and-After Images

Accurate dietary assessment is critical for precision nutrition, yet most image-based methods rely o...

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