Primary Care

Diet & Nutrition

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

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Showing 715-735 of 2,561 articles
3D microscopy and deep learning reveal the heterogeneity of crown-like structure microenvironments in intact adipose tissue.

Crown-like structures (CLSs) are adipose microenvironments of macrophages engulfing adipocytes. Thei...

Supervised mutational signatures for obesity and other tissue-specific etiological factors in cancer.

Determining the etiologic basis of the mutations that are responsible for cancer is one of the funda...

Analyzing Description, User Understanding and Expectations of AI in Mobile Health Applications.

Previous research has studied medical professionals' perception of artificial intelligence (AI). How...

Predicting pregnancy status from mid-infrared spectroscopy in dairy cow milk using deep learning.

Accurately identifying pregnancy status is imperative for a profitable dairy enterprise. Mid-infrare...

Ranking of a wide multidomain set of predictor variables of children obesity by machine learning variable importance techniques.

The increased prevalence of childhood obesity is expected to translate in the near future into a con...

Various Neurological Symptoms with Vitamin B12 Deficiency and Posttreatment Evaluation.

BACKGROUND: Vitamin B12 deficiency occurs primarily as a result of insufficient dietary intake in ch...

AI for Improving Children's Health: A Community Case Study.

The Indian health care system lacks the infrastructure to meet the health care demands of the countr...

An artificial intelligence-derived tool proposal to ease disordered eating screening in people with obesity.

PURPOSE: In people with obesity, food addiction (FA) tends to be associated with poorer outcomes. It...

Network machine learning maps phytochemically rich "Hyperfoods" to fight COVID-19.

In this paper, we introduce a network machine learning method to identify potential bioactive anti-C...

A Study of Multi-Task and Region-Wise Deep Learning for Food Ingredient Recognition.

Food recognition has captured numerous research attention for its importance for health-related appl...

Renoprotective role of bariatric surgery in patients with established chronic kidney disease.

BACKGROUND: Bariatric surgery (BS) has been postulated as the most effective measure for weight redu...

Prevalence of and Risk Factors for Hypovitaminosis D in Patients with Rotator Cuff Tears.

BACKGROUD: It has been reported that vitamin D may play an important role in rotator cuff tears. How...

Development of a quantitative systems pharmacology model of chronic kidney disease: metabolic bone disorder.

Chronic kidney disease mineral bone disorder (CKD-MBD) is a virtually universal complication of kidn...

Optimising an FFQ Using a Machine Learning Pipeline to teach an Efficient Nutrient Intake Predictive Model.

Food frequency questionnaires (FFQs) are the most commonly selected tools in nutrition monitoring, a...

Comprehensive nutrient analysis in agricultural organic amendments through non-destructive assays using machine learning.

Portable X-ray fluorescence (pXRF) and Diffuse Reflectance Fourier Transformed Mid-Infrared (DRIFT-M...

Precision medicine in the era of artificial intelligence: implications in chronic disease management.

Aberrant metabolism is the root cause of several serious health issues, creating a huge burden to he...

Association of Serum Vitamin D Levels and Stress Fractures in Collegiate Athletes.

BACKGROUND: Low vitamin D levels along with high-intensity athletic training may put an athlete at i...

Improvement in vitamin B status of Wistar rats by supplementing the diet with biomass.

The sources of bioavailable vitamin B are limited, and most of them are animal-derived. a freshwate...

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