Latest AI and machine learning research in diabetes for healthcare professionals.
IMPORTANCE: A deep learning system (DLS) is a machine learning technology with potential for screeni...
BACKGROUND: Osteoprotegerin (OPG) is an arterial calcification marker which has been associated with...
OBJECTIVE: The aim of this study was to evaluate the association between insulin resistance and thyr...
PURPOSE: A possible association between metformin use and the development of prostate cancer (PCa) h...
We hypothesized that maternal nutrition and day of gestation would impact utero-placental mRNA expre...
The objective of this study was to evaluate the effects of the hormones prolactin (PRL) and hydrocor...
Alterations in progesterone (P4) catabolism due to high feed intake underlie some effects of nutriti...
The effect of chronic metabolic acidosis (MA) on cardiovascular disease (CVD) in the setting of chro...
Activated immune cells become obligate glucose utilizers, and a large i.v. lipopolysaccharide (LPS) ...
Surgical site infection (SSI) is a common cause of morbidity in general and vascular surgery patient...
This study investigated a simple method for calculating the single-kidney glomerular filtration rate...
The quality of input images significantly affects the outcome of automated diabetic retinopathy (DR)...
Oxidative stress plays a key role in pathophysiology of brain ischemia. This study aimed to test whe...
We demonstrate that model-based unsupervised learning can uniquely discriminate single-cell subpopul...
A new UPLC-MS/MS method (method A), for simultaneous determination of alogliptin (ALN) and metformin...
RATIONALE: Obesity is considered a relative contraindication to pancreas transplantation due to incr...
The aim of this study was to compare the effect of intravitreal diclofenac, a non-steroidal anti-inf...
A previously healthy 24 yo male presented with a two-month history of epigastric pain, nausea, vomit...
In healthcare, applying deep learning models to electronic health records (EHRs) has drawn considera...
In clinical practice, many patients may have unknown or missing values for some predictors, causing ...
This paper mainly focuses on the deep learning application in classifying the stage of diabetic reti...