Artificial Intelligence (AI) has emerged as a transformative force in the healthcare sector,
particularly in the realm of remote patient monitoring (RPM). RPM involves the collection …

Background Accurate measurement of food and nutrient intake is crucial for nutrition
research, dietary surveillance, and disease management, but traditional methods such as 24 …

Leading a healthy lifestyle significantly reduces the risk of develo** Non-Communicable
Diseases (NCD). However, defining and monitoring healthy eating behaviour depends on …

Personalized Nutrition (PN) represents an approach aimed at delivering tailored dietary
recommendations, products or services to support both prevention and treatment of nutrition …

This work presents the IMPROVE dataset, designed to evaluate the effects of mobile phone
usage on learners during online education. The dataset not only assesses academic …

The aging population has led to a growing number of falls in our society, affecting global
public health worldwide. This paper presents CareFall, an automatic Fall Detection System …

Introduction Precision prevention implements highly precise, tailored health interventions for
individuals by directly addressing personal and environmental determinants of health …

Early detection of chronic and Non-Communicable Diseases (NCDs) is crucial for effective
treatment during the initial stages. This study explores the application of wearable devices …

Background: Obese patients are increasingly recognized as being at higher risk for skin
diseases, particularly chronic wounds. While the exact mechanisms remain unclear, obesity …

For control-affine systems on non-compact manifolds, the notion of strong chain control sets
is introduced and related to the strong chain transitivity of the associated control flows. Affine …