Latest AI and machine learning research in obesity for healthcare professionals.
PURPOSE: To evaluate the impact of high body mass index (BMI) on outcomes following robotic laparoendoscopic single-site surgery (R-LESS) robotic-assisted laparoscopic partial nephrectomy (RPN).
AIMS: We applied artificial neural networks (ANNs) to understand the connections among polymorphisms of genes involved in folate metabolism, clinico-pathological features and promoter methylation levels of MLH1, APC, CDKN2A(INK4A), MGMT and RASSF1A in 83 sporadic colorectal cancer (CRC) tissues, and to link dietary and lifestyle factors with gene promoter methylation.
Genome-wide Association Studies (GWAS) have resulted in many discovered risk variants for several obesity-related traits. However, before clinical rel...
This paper aims to enlighten the complex etiology beneath obesity by analysing data from a large nutrigenetics study, in which nutritional and genetic...
BACKGROUND: Acute lymphoblastic leukemia survivors are predisposed to obesity. However, the exact underlying mechanisms are not known.
OBJECTIVE: Previous studies have shown an association between thyroid function and insulin resistance and obesity. We compared insulin resistance and ...
Breast cancer is the most commonly diagnosed cancer among women, but despite survival rates improvement, it is still the second major cause of cancer ...
This study was designed to evaluate insulin resistance and plasma levels of visfatin and resistin in obese and non-obese patients with polycystic ovar...