Latest AI and machine learning research in diabetes for healthcare professionals.
In this study, we propose a technique for diagnosing both type 1 and type 2 diabetes in a quick, non...
BACKGROUND: Genotype-phenotype predictions are of great importance in genetics. These predictions ca...
Understanding patient accumulation of comorbidities can facilitate healthcare strategy and personali...
AIM: Predicting progression in diabetic kidney disease (DKD) is critical to improving outcomes. We s...
Novel photoactive and enzymatically active nanomotors were developed for efficient organic pollutant...
PURPOSE: To evaluate the effect of intravitreal injection of ranibizumab (IVR) on subfoveal choroida...
Type 2 diabetes mellitus (T2D) prevalence in the United States varies substantially across spatial a...
 The aim of this study was to detect the most important risk factors for recurrence after microwave...
Errors in medication self-administration (MSA) lead to poor treatment adherence, increased hospitali...
The World Health Organization (WHO) estimated that in 2016, 1.6 million deaths caused were due to di...
AIMS: To establish an automated method for identifying referable diabetic retinopathy (DR), defined ...
Conventional human leukocyte antigen (HLA) imputation methods drop their performance for infrequent ...
Dipeptidyl peptidase-4 (DPP4) is highly participated in regulating diabetes mellitus (DM), and inhib...
Free fatty acid receptor 1 (FFAR1 or GPR40) has attracted attention for the treatment of type 2 diab...
Studies regarding the influence of diabetes on perioperative outcomes after major hepatectomy are co...
The diabetic retinopathy accounts in the deterioration of retinal blood vessels leading to a serious...
To describe a database of longitudinally graded telemedicine retinal images to be used as a comparat...
The placenta is the first organ to form and performs the functions of the lung, gut, kidney, and end...
AIMS: The effective identification of individuals with early dysglycemia status is key to reduce the...
We trained a deep learning algorithm to use skin optical coherence tomography (OCT) angiograms to di...
Diabetes is a metabolic disorder comprising of high glucose level in blood over a prolonged period i...