Primary Care

Diet & Nutrition

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

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Showing 148-168 of 2,552 articles
Physiological and morphological impact of physical activity and nutritional interventions to offset disuse-induced skeletal muscle atrophy.

Skeletal muscle tissue acts as a functional unit for physical movements, energy metabolism, thermoge...

A prediction model of pediatric bone density from plain spine radiographs using deep learning.

Osteoporosis, a bone disease characterized by decreased bone mineral density (BMD) resulting in decr...

Dietary and lifestyle determinants of vitamin D status in the UK Biobank Cohort study for predictive modeling.

Vitamin D (VD) is involved in a wide variety of physiological processes. The high prevalence of VD d...

Modeling PFAS Sorption in Soils Using Machine Learning.

In this study, we introduce PFASorptionML, a novel machine learning (ML) tool developed to predict s...

Predicting metabolic dysfunction associated steatotic liver disease using explainable machine learning methods.

Early and accurate identification of patients at high risk of metabolic dysfunction-associated steat...

Machine learning integration of multimodal data identifies key features of circulating NT-proBNP in people without cardiovascular diseases.

N-Terminal Pro-Brain Natriuretic Peptide (NT-proBNP) is important for diagnosing and predicting hear...

Early obesity risk prediction via non-dietary lifestyle factors using machine learning approaches.

Obesity poses a significant health threat, contributing to the development of noncommunicable diseas...

Prediction of IUGR condition at birth by means of CTG recordings and a ResNet model.

OBJECTIVE: Sub-optimal uterine-placental perfusion and fetal nutrition can lead to intrauterine grow...

The Influence of an AI-Driven Personalized Nutrition Program on the Human Gut Microbiome and Its Health Implications.

Personalized nutrition programs enhanced with artificial intelligence (AI)-based tools hold promisi...

Machine learning models to predict osteoporosis in patients with chronic kidney disease stage 3-5 and end-stage kidney disease.

Chronic kidney disease-mineral bone disorder is a common complication in patients with chronic kidne...

Weaning performance prediction in lactating sows using machine learning, for precision nutrition and intelligent feeding.

Traditional feeding strategy during lactation can result in nutrient deficiencies and negatively imp...

Advancing Enzyme-Based Detoxification Prediction with ToxZyme: An Ensemble Machine Learning Approach.

The aaccurate prediction of enzymes with environment detoxification functions is crucial, not only t...

Comparing machine learning models for osteoporosis prediction in Tibetan middle aged and elderly women.

The aim of this study was to establish the optimal prediction model by comparing the prediction effe...

AI-Enabled IoT for Food Computing: Challenges, Opportunities, and Future Directions.

Food computing refers to the integration of digital technologies, such as artificial intelligence (A...

The interpretable machine learning model for depression associated with heavy metals via EMR mining method.

Limited research exists on the association between depression and heavy metal exposure. This study a...

Nutritional predictors of lymphatic filariasis progression: Insights from a machine learning approach.

Lymphatic filariasis (LF) is a mosquito-borne neglected tropical disease that causes disfiguring of ...

Can AI reveal the next generation of high-impact bone genomics targets?

Genetic studies have revealed hundreds of loci associated with bone-related phenotypes, including bo...

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