Latest AI and machine learning research in obesity for healthcare professionals.
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 recording devices and decoding algorithms to transform brain activity directly into real-time control of a machine, archetypically a robotic arm or a cursor. The standard procedure treats neural activity-vectors of spike counts in small temporal windows-a...
OBJECTIVE: Lower-limb, powered robotics systems such as exoskeletons and orthoses have emerged as novel robotic interventions to assist or rehabilitate people with walking disabilities. These devices are generally controlled by certain physical maneuvers, for example pressing buttons or shifting body weight. Although effective, these control schemes are not what humans naturally use. The usability...
With the maturation of metabolomics science and proliferation of biobanks, clinical metabolic profiling is an increasingly opportunistic frontier for ...
Diet and physical activity are known as important lifestyle factors in self-management and prevention of many chronic diseases. Mobile sensors such as...
Bayesian Networks (BNs) are often used for designing diagnosis decision support systems. They are a well-established method for reasoning under uncert...
BACKGROUND: A challenge of using electronic health records for secondary analyses is data quality. Body mass index (BMI) is an important predictor for...
BMI Investigator (BMII) is an interactive web-based tool with a learning knowledge base, which provides a way for researchers to query structured, uns...
OBJECTIVE: Obesity is a moderate low-grade chronic inflammatory condition. The cause of low-grade inflammation in obese patients who have clinically s...
The aim of the study was to review the current literature on the role of vitamin D in dentistry. The term vitamin D is defined as a group of compounds...
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...
BACKGROUND: Monocyte chemoattractant protein-1 (MCP-1) is expressed in adipose tissue, macrophages, endothelial cells, and osteoblasts by parathyroid ...
OBJECTIVE: Making mistakes is inevitable, but identifying them allows us to correct or adapt our behavior to improve future performance. Current brain...
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...
Obesity is a low-grade chronic inflammatory state, in which a cytokine chemerin with its immunometabolic modulation has an important role. We aimed to...
This paper presents the preliminary findings of a multi-year clinical study evaluating the effectiveness of adding a brain-machine interface (BMI) to ...
Robotic systems offer the possibility of improving the life quality of people with severe motor disabilities, enhancing the individual's degree of ind...
Many common activities of daily living like open a door or fill a glass of water, which most of us take for granted, could be an insuperable problem f...
OBJECTIVE: Adiponectin is the major product of adipose tissue. The aim of this study was to associate adiponectin levels with adipose tissue and metab...
Tumor precision medicine is an emerging approach for tumor diagnosis, treatment and prevention, which takes account of individual variability of envir...