Latest AI and machine learning research in exercise & fitness for healthcare professionals.
Various bio-based processes depend on controlled micro-aerobic conditions to achieve a satisfactory ...
Grading red blood cell (RBC) aggregation is important for the early diagnosis and prevention of rela...
Myasthenia gravis (MG) is a chronic autoimmune disease of the nervous system, which is still incurab...
OBJECTIVE: To present an overview of how artificial intelligence (AI) could be used to regulate eati...
Aptamers can be regarded as efficient substitutes for monoclonal antibodies in many diagnostic and t...
Nowadays, Human Activity Recognition (HAR) systems, which use wearables and smart systems, are a par...
Dry weight is the normal weight of hemodialysis patients after hemodialysis. If the amount of water ...
The problem of the automatic determination of the first and second ventilatory thresholds (VT1 and V...
Repetitive and specific verbal cues by a therapist are essential in aiding a patient's motivation an...
While neuro-recovery is maximized through active engagement, it has been suggested that the use of r...
Wrist accelerometers for assessing hallmark measures of physical activity (PA) are rapidly growing w...
PURPOSE: To investigate the effects of a supported home-based progressive resistance exercise traini...
The increased prevalence of childhood obesity is expected to translate in the near future into a con...
The study aims to formulate a mixed fruit beverage through sensory analysis, and the composition was...
INTRODUCTION: Administrative claims data provide an important source for real-world evidence (RWE) g...
This study aimed to identify the predictive capacity of wellness questionnaires on measures of train...
Faced with the serious problem of an aging population, exercise is one of the most effective ways t...
We investigated the effects of caffeine mouth rinse on endurance performance, muscle recruitment (i....
Autofluorescence microscopy is a promising label-free approach to characterize NADH and FAD metaboli...
The Khorana score (KS) is used to predict the risk of venous thromboembolism (VTE) for cancer patie...
A lack of sufficient training data, both in terms of variety and quantity, is often the bottleneck i...