Diet & Nutrition

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

Previous research has studied medical professionals' perception of artificial intelligence (AI). However, there has been a limited understanding of how healthcare consumers perceive and use AI-powered technologies such as mobile health apps. We collected 40 popular mobile health apps that claim to have adopted AI, to study how AI is explained in these apps' descriptions, and how users react to it ...

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-infrared (MIR) spectroscopy is routinely used to determine fat and protein concentrations in milk samples. Mid-infrared spectra have successfully been used to predict other economically important traits, including fatty acid content, mineral content, body energy status, lactoferrin, feed intake, and methan...

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 concomitant soaring of multiple cardio-metabolic dise...

Various Neurological Symptoms with Vitamin B12 Deficiency and Posttreatment Evaluation.

BACKGROUND: Vitamin B12 deficiency occurs primarily as a result of insufficient dietary intake in children in developing countries. Vitamin B12 defici...

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 country. Physician and nurse availability is 30 and 50% ...

Optimization of spray drying process of Japanese apricot (Prunus mume Sieb. et Zucc.) juice powder using nondigestible maltodextrin by response surface methodology (RSM).

The optimal spray-drying conditions for manufacturing Japanese apricot ( Sieb. et Zucc.) juice powder (JAJP) using response surface methodology (RSM) ...

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. Its diagnosis can be challenging in primary care. Ba...

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-COVID-19 molecules in foods based on their capacity...

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 applications. The existing approaches mostly focus on ...

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 reduction. Weight loss improves metabolic parameters a...

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. However, there has been limited information about the...

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 kidney diseases, starting early in the course of disea...

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, as they are inexpensive, easily implemented and pro...

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-MIR) spectroscopy are rapid and cost-effective anal...

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 health and leading to diminished life expectancy. A ...

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 increased risk for a stress fracture.

A Process Evaluation Examining the Performance, Adherence, and Acceptability of a Physical Activity and Diet Artificial Intelligence Virtual Health Assistant.

Artificial intelligence virtual health assistants are a promising emerging technology. This study is a process evaluation of a 12-week pilot physical ...

Free amino acids in African indigenous vegetables: Analysis with improved hydrophilic interaction ultra-high performance liquid chromatography tandem mass spectrometry and interactive machine learning.

A hydrophilic interaction (HILIC) ultra-high performance liquid chromatography (UHPLC) with triple quadrupole tandem mass spectrometry (MS/MS) method ...

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 freshwater microalga, is known for immune system boosting, ...

Update on benign paroxysmal positional vertigo.

Benign paroxysmal positional vertigo (BPPV) is the most common cause of vertigo worldwide. This review considers recent advances in the diagnosis and ...