Latest AI and machine learning research in prevention for healthcare professionals.
BACKGROUND AND OBJECTIVE: The volunteer deep inspiration breath hold (vDIBH) technique is used to re...
Organic acids reflect the course of all important metabolic processes and the effects of diet, nutri...
The milk ladder (ML) approach, which is the gradual reintroduction of the milk allergen from the lea...
Recommending suitable exercises and providing the reasons for these recommendations is a highly valu...
PURPOSE: This study aims to evaluate the similarity, readability, and alignment with current scienti...
The incidence of heart failure with preserved ejection fraction (HFpEF) increases with the ageing of...
How do newborns learn to see? We propose that visual systems are space-time fitters, meaning visual ...
This work aims to comprehensively explore the influencing factors of aerobics athletes' performance ...
Obesity is a chronic disease correlated with numerous risk factors that not only negatively affect a...
Non-specific shoulder pain is a common musculoskeletal condition, especially among college students,...
OBJECTIVE: To determine circulating endothelial progenitor cells (EPC) counts and levels of inflamma...
BACKGROUND: Diet modification is a mainstay for the successful management of metabolic syndrome and ...
Cancer remains an increasing global health issue and is projected to cause 50% of all global deaths ...
There have recently been rapid developments in smart healthcare systems, such as precision diagnosis...
This study aims to use machine learning model to predict laboratory aspirin resistance (AR) in Chine...
Several studies report the benefits and accuracy of using autosegmentation for organ at risk (OAR) o...
BACKGROUND AND AIM: Carbonated sugar-sweetened beverages (CSSB) intake has been increasingly linked ...
Scholarly publishing has been shaped by the pressure of a liquid economy to become an exercise in br...
In the wake of growing concerns regarding diet-related health issues, this study investigates the ap...
The research is aimed at exploring the potential of marigold petal tea (MPT), rich in polyphenol co...
Studies on obesity and risk factors from a life-course perspective among residents in the Tibet Plat...