Latest AI and machine learning research in diabetes for healthcare professionals.
In this paper, we introduce a network machine learning method to identify potential bioactive anti-C...
Diabetic retinopathy is one of the main causes of blindness in human eyes, and lesion segmentation i...
We identified the prevalence of elevated high-sensitivity C-reactive protein and interleukin-6 in pa...
BACKGROUND: Diabetes mellitus is a prevalent metabolic disease characterized by chronic hyperglycemi...
PURPOSE: Heatmapping techniques can support explainability of deep learning (DL) predictions in medi...
INTRODUCTION: C-peptide is used as a marker of endogenous insulin secretion in the assessment of res...
In this study, we proposed a systems biology approach to investigate the pathogenic mechanism for id...
OBJECTIVE: Gestational diabetes mellitus (GDM) is associated with adverse maternal and fetal outcome...
BACKGROUND: Despite excellent prediction performance, noninterpretability has undermined the value o...
One of the fundamental challenges when dealing with medical imaging datasets is class imbalance. Cla...
OBJECTIVE: To evaluate diabetic retinopathy (DR) screening via deep learning (DL) and trained human ...
BACKGROUND: The aim of a recent research project was the investigation of the mechanisms involved in...
BACKGROUND: Anti-oxidants were investigated in several studies as a preventive strategy for preventi...
The diagnosis of diabetic kidney disease can be delayed by limitations of primary biomarkers, which ...
Emerging data suggest that type 1 diabetes affects not only the β-cell-containing islets of Langerha...
We present a fully closed-loop design for an artificial pancreas (AP) that regulates the delivery of...
BACKGROUND: Aberrations in endothelial cells, immune and oxidative pathways are associated with athe...
Deep learning has achieved remarkable success in the optical coherence tomography (OCT) image classi...
Vascular structures in the retina contain important information for the detection and analysis of oc...
Machine learning and especially deep learning techniques are dominating medical image and data analy...
Deep learning methods for diabetic retinopathy (DR) diagnosis are usually criticized as being lack o...