Latest AI and machine learning research in exercise & fitness for healthcare professionals.
MOTIVATION: Regulatory sequences are not solely defined by their nucleic acid sequence but also by their relative distances to genomic landmarks such as transcription start site, exon boundaries or polyadenylation site. Deep learning has become the approach of choice for modeling regulatory sequences because of its strength to learn complex sequence features. However, modeling relative distances t...
OBJECTIVE: Considering the importance and the near-future development of noninvasive brain-machine interface (BMI) systems, this paper presents a comprehensive theoretical-experimental survey on the classification and evolutionary methods for BMI-based systems in which EEG signals are used.
OBJECTIVE: The aim of this work is to improve the state of the art for motor-control with a brain-machine interface (BMI). BMIs use neurological recor...
OBJECTIVE: Lower-limb, powered robotics systems such as exoskeletons and orthoses have emerged as novel robotic interventions to assist or rehabilitat...
This paper suggests a novel method of strengthening specific muscle groups in the lower limb during a functional movement. When the foot of an user we...
BACKGROUND: Current diagnosis of heart failure with preserved ejection fraction (HFpEF) is suboptimal. We tested the hypothesis that comprehensive mac...
MOTIVATION: As whole-genome tumor sequence and biological annotation datasets grow in size, number and content, there is an increasing basic science a...
With the maturation of metabolomics science and proliferation of biobanks, clinical metabolic profiling is an increasingly opportunistic frontier for ...
BACKGROUND: Remote monitoring of patients with heart failure (HF) using wearable devices can allow patient-specific adjustments to treatments and ther...
Naodesheng (NDS) formula, which consists of Rhizoma Chuanxiong, Lobed Kudzuvine, Carthamus tinctorius, Radix Notoginseng, and Crataegus pinnatifida, i...
BACKGROUND: Effective human-robot interactions in rehabilitation necessitates an understanding of how these should be tailored to the needs of the hum...
BACKGROUND: A challenge of using electronic health records for secondary analyses is data quality. Body mass index (BMI) is an important predictor for...
In this study, we aimed to teach elementary school students how to practically deal with elderly people with dementia and developed and evaluated teac...
BMI Investigator (BMII) is an interactive web-based tool with a learning knowledge base, which provides a way for researchers to query structured, uns...
The purpose of the study was to investigate gender features of abnormalities of blood serum lipid composition and their relationship with clinical and...
AIM: The aim of this study was to investigate the dose-dependent effects of prednisolone administration on serum vaspin levels and correlate this with...
The aim of this study was to explore the potential of ZORA robot-based interventions in rehabilitation and special education for children with severe ...
OBJECTIVE: Making mistakes is inevitable, but identifying them allows us to correct or adapt our behavior to improve future performance. Current brain...
Exercise may lead to kidney injury through several mechanisms. Urinary Kidney Injury Molecule-1 (uKIM1) and Neutrophil Gelatinase-Associated Lipocalin...
The circulating concentration of N-terminal pro-brain natriuretic peptide (NT-proBNP) has been shown to be a diagnostic tool for the detection of hear...