Latest AI and machine learning research in obesity for healthcare professionals.
This paper presents the preliminary findings of a multi-year clinical study evaluating the effective...
Robotic systems offer the possibility of improving the life quality of people with severe motor disa...
Paracetamol is one of the most common analgesic and antipyretic drugs. Recently intravenous paraceta...
RATIONALE: Obesity is considered a relative contraindication to pancreas transplantation due to incr...
Case-based reasoning and data interpretation is an artificial intelligence approach that capitalizes...
Chronic kidney disease (CKD) is a public health priority worldwide; however, its prevalence and inci...
Drug and supplement interactions (DSIs) have drawn widespread attention due to their potential to af...
BACKGROUND: The aim of this study is to compare serum and seminal level of leptin in the context of ...
The Risk of Malignancy Algorithm (ROMA) combines the diagnostic power of the CA125 and HE4 markers...
Black soybean teata is helpful to preventing obesity through enhancing energy expenditure and suppre...
In thought-based steering of robots, error potentials (ErrP) can appear when the action resulting fr...
BACKGROUND: The proinflammatory state induced by obesity plays an important role in obesity-related ...
PURPOSE: To evaluate the impact of high body mass index (BMI) on outcomes following robotic laparoen...
Genome-wide Association Studies (GWAS) have resulted in many discovered risk variants for several ob...
This paper aims to enlighten the complex etiology beneath obesity by analysing data from a large nut...
BACKGROUND: Acute lymphoblastic leukemia survivors are predisposed to obesity. However, the exact un...
OBJECTIVE: Previous studies have shown an association between thyroid function and insulin resistanc...
This study was designed to evaluate insulin resistance and plasma levels of visfatin and resistin in...