AIMC Topic: Obesity
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Impact of obesity on surgical and oncologic outcomes in patients with endometrial cancer treated with a robotic approach.
The journal of obstetrics and gynaecology research
Aug 20, 2020
AIM: The surgical treatment of endometrial cancer (EC) can be more complicated in obese patients. Robotic surgery could simplify the surgical approach in these patients. The aim of our study was to compare the outcomes of robotic surgery in obese (bo...
Machine Learning based histology phenotyping to investigate the epidemiologic and genetic basis of adipocyte morphology and cardiometabolic traits.
PLoS computational biology
Aug 14, 2020
Genetic studies have recently highlighted the importance of fat distribution, as well as overall adiposity, in the pathogenesis of obesity-associated diseases. Using a large study (n = 1,288) from 4 independent cohorts, we aimed to investigate the re...
Editorial Comment to Obese men undergoing radical prostatectomy: Is robotic or retropubic better to limit positive surgical margins? Results from SEARCH.
International journal of urology : official journal of the Japanese Urological Association
Jul 17, 2020
Decreased gremlin 1 expression in women with BMI ≥35 kg/m is mediated by interleukin 10 and interleukin 1β in the follicular fluid.
F&S science
Jun 29, 2020
OBJECTIVE: To determine how body mass index (BMI) affects the follicular fluid cytokine milieu and investigate how this inflammatory environment impacts cumulus signaling.
Identification of Risk Factors Associated with Obesity and Overweight-A Machine Learning Overview.
Sensors (Basel, Switzerland)
May 11, 2020
Social determining factors such as the adverse influence of globalization, supermarket growth, fast unplanned urbanization, sedentary lifestyle, economy, and social position slowly develop behavioral risk factors in humans. Behavioral risk factors su...
Current Developments in Digital Quantitative Volume Estimation for the Optimisation of Dietary Assessment.
Nutrients
Apr 22, 2020
Obesity is a global health problem with wide-reaching economic and social implications. Nutrition surveillance systems are essential to understanding and addressing poor dietary practices. However, diets are incredibly diverse across populations and ...
SAEROF: an ensemble approach for large-scale drug-disease association prediction by incorporating rotation forest and sparse autoencoder deep neural network.
Scientific reports
Mar 18, 2020
Drug-disease association is an important piece of information which participates in all stages of drug repositioning. Although the number of drug-disease associations identified by high-throughput technologies is increasing, the experimental methods ...
SVM-based waist circumference estimation using Kinect.
Computer methods and programs in biomedicine
Feb 24, 2020
BACKGROUND AND OBJECTIVE: Conventional anthropometric studies using Kinect depth sensors have concentrated on estimating the distances between two points such as height. This paper deals with a novel waist measurement method using SVM regression, fur...
Machine learning as new promising technique for selection of significant features in obese women with type 2 diabetes.
Hormone molecular biology and clinical investigation
Jan 11, 2020
Background The global trend of obesity and diabetes is considerable. Recently, the early diagnosis and accurate prediction of type 2 diabetes mellitus (T2DM) patients have been planned to be estimated according to precise and reliable methods, artifi...
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