Latest AI and machine learning research in exercise & fitness for healthcare professionals.
Brain-machine interfaces (BMIs) allow individuals to communicate with computers using neural signals...
Chest radiographs are primarily employed for the screening of cardio, thoracic and pulmonary conditi...
Chest radiographs are primarily employed for the screening of pulmonary and cardio-/thoracic conditi...
Automatic detection of R-peaks in an Electrocardiogram signal is crucial in a multitude of applicati...
MOTIVATION: The universal expressibility assumption of Deep Neural Networks (DNNs) is the key motiva...
Present robots for investigating lower-limb motor control and rehabilitation focus on gait training....
MOTIVATION: Peptide is a promising candidate for therapeutic and diagnostic development due to its g...
MOTIVATION: Therapeutic peptides failing at clinical trials could be attributed to their toxicity pr...
In this review article, the current and future impact of artificial intelligence (AI) technologies o...
MOTIVATION: Expert-labeled data are essential to train phenotyping algorithms for cohort identificat...
INTRODUCTION: The World Health Organization has estimated that 12 million deaths occur worldwide, ev...
MOTIVATION: Recent advances in the areas of bioinformatics and chemogenomics are poised to accelerat...
The rapid development of computer technologies brings us great changes in daily life and work. Artif...
MOTIVATION: Protein structure refinement is an important step of protein structure prediction. Exist...
Compounded medicinal products should be prepared using an appropriate quality-assurance system. Clea...
BACKGROUND: The Hybrid Assistive Limb (HAL) is a robotic exoskeleton designed to support impaired li...
BACKGROUND: This study evaluates the effects of training (on running distance measured with a Cooper...
Heart failure with preserved ejection fraction (HFpEF) is a complex, heterogeneous syndrome in need ...
MOTIVATION: Protein activity is a significant characteristic for recombinant proteins which can be u...
MOTIVATION: Studies have shown that the accuracy of random forest (RF)-based scoring functions (SFs)...
The purpose of this study was to verify the usefulness of machine learning (ML) for selection of ris...