Latest AI and machine learning research in diet & nutrition for healthcare professionals.
Laryngopharyngeal reflux (LPR) refers to the retrograde flow of stomach contents into the larynx due...
Accurate adult age estimation (AAE) is critical for forensic and anthropological applications, yet t...
BACKGROUND: Machine learning systems learn from historical data to forecast future outcomes. In the ...
Hyperuricemia is a global health concern, with environmental chemicals as risk factors. This study u...
BACKGROUND: Logistic regression (LR) has traditionally been the standard method used for predicting ...
BACKGROUND: Machine learning algorithms (MLA) gained prominence in nutritional epidemiology for anal...
BACKGROUND: Hip fractures are associated with reduced mobility, and higher morbidity, mortality, and...
Rapid and accurate detection of pea protein content is crucial for breeding and ensuring food qualit...
The domains of food safety, quality, and nutrition are inundated with complex datasets. Machine lear...
Mendelian randomization (MR) enables the estimation of causal effects while controlling for unmeasur...
Mental health disorders like depression, anxiety, and stress (DAS) are rising globally. Understandin...
We introduce the "Ripen Banana" dataset, a newly developed collection featuring two distinct classes...
BACKGROUND AND OBJECTIVES: Critically ill patients require individualized nutrition support, with as...
Alpha-Galactosidase has significant industrial application value in food processing, animal nutritio...
In an era where fast-paced lifestyles often conflict with the pursuit of healthy eating, the demand ...
Diabetes mellitus (DM), a prevalent metabolic disorder, has significant global health implications. ...
Colorectal cancer (CRC) is one of the most prominent cancers globally, with its incidence rising amo...
The prevalence of hearing loss (HL) has emerged as an escalating public health concern globally. The...
OBJECTIVES: To develop a corpus annotated for diet-microbiome associations from the biomedical liter...
OBJECTIVES: To investigate the impacts of a deep learning-based iterative reconstruction algorithm o...
The diagnostic accuracy for coronary heart disease (CHD) needs to be improved. Some studies have ind...