Diabetes

Predictions of ocular changes caused by diabetes in glaucoma patients.

BACKGROUND AND OBJECTIVE: This paper builds different neural network models with simple topologies, ...

Needle-based sampling coupled with colorimetric reaction catalyzed by layered double hydroxide peroxidase mimic for rapid detection of the change of d-glucose levels with time in bananas.

For analyte detection in raw fruits, the conventional sample pretreatment method usually involves ma...

A Machine Learning Ensemble Classifier for Early Prediction of Diabetic Retinopathy.

The main complication of diabetes is Diabetic retinopathy (DR), retinal vascular disease and it lead...

Inhibitory activity of phenolic-rich pistachio green hull extract-enriched pasta on key type 2 diabetes relevant enzymes and glycemic index.

Phenolic compounds as agro-industrial by-products have been associated with health benefits since th...

A Successful Approach to Kidney Transplantation in Patients With Enteric (Secondary) Hyperoxaluria.

BACKGROUND: Enteric hyperoxaluria due to malabsorption may cause chronic oxalate nephropathy and lea...

Synthesis and characterization of ZnO phytonanocomposite using L. (Loganiaceae) and antimicrobial activity against multidrug-resistant bacterial strains from diabetic foot ulcer.

Nanobiotechnology has been emerged as an efficient technology for the development of antimicrobial n...

Multi-categorical deep learning neural network to classify retinal images: A pilot study employing small database.

Deep learning emerges as a powerful tool for analyzing medical images. Retinal disease detection by ...

A Fully Automated Conversational Artificial Intelligence for Weight Loss: Longitudinal Observational Study Among Overweight and Obese Adults.

BACKGROUND: Type 2 diabetes is the most expensive chronic disease in the United States. Two-thirds o...

Development of a Reinforcement Learning-based Evolutionary Fuzzy Rule-Based System for diabetes diagnosis.

The early diagnosis of disease is critical to preventing the occurrence of severe complications. Dia...

Relationship Between Serum Macrophage Migration Inhibitory Factor Level and Insulin Resistance, High-Sensitivity C-Reactive Protein and Visceral Fat Mass in Prediabetes.

BACKGROUND: Growing evidence suggest that macrophage migration inhibitory factor (MIF) plays a vital...

Comparison of Machine Learning Approaches Toward Assessing the Risk of Developing Cardiovascular Disease as a Long-Term Diabetes Complication.

The estimation of long-term diabetes complications risk is essential in the process of medical decis...

An ensemble deep learning based approach for red lesion detection in fundus images.

BACKGROUND AND OBJECTIVES: Diabetic retinopathy (DR) is one of the leading causes of preventable bli...

Hyperinsulinemia and Insulin Receptor Gene Mutation in Nonobese Healthy Subjects in Japan.

CONTEXT: Hyperinsulinemia is often observed in obese people, owing to their insulin resistance accom...

Low-dose Rituximab therapy in resistant idiopathic membranous nephropathy: single-center experience.

BACKGROUND: Persistent significant proteinuria has been associated with increased risk of progressio...

Learning ensemble classifiers for diabetic retinopathy assessment.

Diabetic retinopathy is one of the most common comorbidities of diabetes. Unfortunately, the recomme...

Phenotype Prediction from Metagenomic Data Using Clustering and Assembly with Multiple Instance Learning (CAMIL).

The recent advent of Metagenome Wide Association Studies (MGWAS) provides insight into the role of m...

Diabetic retinopathy screening using deep neural network.

IMPORTANCE: There is a burgeoning interest in the use of deep neural network in diabetic retinal scr...

Temporal case-based reasoning for type 1 diabetes mellitus bolus insulin decision support.

Individuals with type 1 diabetes have to monitor their blood glucose levels, determine the quantity ...

Real-Time Non-Invasive Detection and Classification of Diabetes Using Modified Convolution Neural Network.

Non-invasive diabetes prediction has been gaining prominence over the last decade. Among many human ...

Single Nucleotide Polymorphism relevance learning with Random Forests for Type 2 diabetes risk prediction.

OBJECTIVE: The use of artificial intelligence techniques to find out which Single Nucleotide Polymor...

Special section on artificial intelligence for diabetes.