Endocrinology

Diabetes

Latest AI and machine learning research in diabetes for healthcare professionals.

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A Deep Neural Network Application for Improved Prediction of [Formula: see text] in Type 1 Diabetes.

[Formula: see text] is a primary marker of long-term average blood glucose, which is an essential me...

Deep learning algorithms for detection of diabetic retinopathy in retinal fundus photographs: A systematic review and meta-analysis.

BACKGROUND: Diabetic retinopathy (DR) is one of the leading causes of blindness globally. Earlier de...

Multi-label classification of retinal lesions in diabetic retinopathy for automatic analysis of fundus fluorescein angiography based on deep learning.

PURPOSE: To automatically detect and classify the lesions of diabetic retinopathy (DR) in fundus flu...

Prediction of progression from pre-diabetes to diabetes: Development and validation of a machine learning model.

AIMS: Identification, a priori, of those at high risk of progression from pre-diabetes to diabetes m...

Precision Medicine and Artificial Intelligence: A Pilot Study on Deep Learning for Hypoglycemic Events Detection based on ECG.

Tracking the fluctuations in blood glucose levels is important for healthy subjects and crucial diab...

Machine learning as new promising technique for selection of significant features in obese women with type 2 diabetes.

Background The global trend of obesity and diabetes is considerable. Recently, the early diagnosis a...

The sweet detection of rolling circle amplification: Glucose-based electrochemical genosensor for the detection of viral nucleic acid.

Herein, an isothermal padlock probe-based assay for the simple and portable detection of pathogens c...

Membranous Nephropathy with Rapid Progression.

We report a 49-year-old man with microscopic hematuria, subnephrotic proteinuria, and rapidly progre...

Effects of post-weaning supplementation of immunomodulatory feed ingredient on body weight and cortisol concentrations in program-fed beef heifers.

The objective of this study was to determine the effects of an immunomodulatory feed ingredient duri...

Single-cell ATAC-Seq in human pancreatic islets and deep learning upscaling of rare cells reveals cell-specific type 2 diabetes regulatory signatures.

OBJECTIVE: Type 2 diabetes (T2D) is a complex disease characterized by pancreatic islet dysfunction,...

Evaluation of platelet-rich plasma from diabetic donors shows increased platelet vascular endothelial growth factor release.

BACKGROUND: Platelet-rich plasma (PRP) contains pro-angiogenic growth factors including vascular end...

Gait Biomarkers Classification by Combining Assembled Algorithms and Deep Learning: Results of a Local Study.

Machine learning, one of the core disciplines of artificial intelligence, is an approach whose main ...

High-level expression of Thermobifida fusca glucose isomerase for high fructose corn syrup biosynthesis.

Glucose isomerase (GIase), an efficient enzyme in the isomerization of d-glucose to d-fructose, has ...

ISFET and Dex-AgNPs based portable sensor for reusable and real-time determinations of concanavalin A and glucose on smartphone.

In this paper, a portable real-time sensing device was built for Concanavalin A (Con A) and glucose ...

Implementation of machine learning algorithms to create diabetic patient re-admission profiles.

BACKGROUND: Machine learning is a branch of Artificial Intelligence that is concerned with the desig...

Predicting long-term type 2 diabetes with support vector machine using oral glucose tolerance test.

Diabetes is a large healthcare burden worldwide. There is substantial evidence that lifestyle modifi...

Pulse Wave Velocity and Machine Learning to Predict Cardiovascular Outcomes in Prediabetic and Diabetic Populations.

Few studies have addressed the predictive value of arterial stiffness determined by pulse wave veloc...

Global transcriptome analysis reveals relevant effects at environmental concentrations of cypermethrin in honey bees (Apis mellifera).

Cypermethrin is a frequently used insecticide in agriculture and households but its chronic and mole...

Glycemic-aware metrics and oversampling techniques for predicting blood glucose levels using machine learning.

Techniques using machine learning for short term blood glucose level prediction in patients with Typ...

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