Latest AI and machine learning research in diabetes for healthcare professionals.
Phenolic compounds as agro-industrial by-products have been associated with health benefits since th...
BACKGROUND: Enteric hyperoxaluria due to malabsorption may cause chronic oxalate nephropathy and lea...
Nanobiotechnology has been emerged as an efficient technology for the development of antimicrobial n...
Deep learning emerges as a powerful tool for analyzing medical images. Retinal disease detection by ...
BACKGROUND: Type 2 diabetes is the most expensive chronic disease in the United States. Two-thirds o...
The early diagnosis of disease is critical to preventing the occurrence of severe complications. Dia...
BACKGROUND: Growing evidence suggest that macrophage migration inhibitory factor (MIF) plays a vital...
The estimation of long-term diabetes complications risk is essential in the process of medical decis...
BACKGROUND AND OBJECTIVES: Diabetic retinopathy (DR) is one of the leading causes of preventable bli...
CONTEXT: Hyperinsulinemia is often observed in obese people, owing to their insulin resistance accom...
BACKGROUND: Persistent significant proteinuria has been associated with increased risk of progressio...
Diabetic retinopathy is one of the most common comorbidities of diabetes. Unfortunately, the recomme...
IMPORTANCE: There is a burgeoning interest in the use of deep neural network in diabetic retinal scr...
Individuals with type 1 diabetes have to monitor their blood glucose levels, determine the quantity ...
Non-invasive diabetes prediction has been gaining prominence over the last decade. Among many human ...
OBJECTIVE: The use of artificial intelligence techniques to find out which Single Nucleotide Polymor...
OBJECTIVE: Diabetic neuropathy is a chronic and often disabling condition that affects a significant...
Using kernel machine learning (ML) and random optimization (RO) techniques, we recently developed a ...
BACKGROUND AND OBJECTIVE: Diabetes is a silent killer. The main cause of this disease is the presenc...
We show that deep convolutional neural networks combined with nonlinear dimension reduction enable r...
OBJECTIVE: To examine the impact of a diabetes renal clinic (DRC) on renal functional and metabolic ...