Endocrinology

Diabetes

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

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Artificial Intelligence Methodologies and Their Application to Diabetes.

In the past decade diabetes management has been transformed by the addition of continuous glucose mo...

Investigations of severity level measurements for diabetic macular oedema using machine learning algorithms.

BACKGROUND: The macula is an important part of the human visual system and is responsible for clear ...

Machine Learning Methods to Predict Diabetes Complications.

One of the areas where Artificial Intelligence is having more impact is machine learning, which deve...

Selective Arterial Calcium Stimulation With Hepatic Venous Sampling in Immune-Mediated Hypoglycemia.

The purpose of the current study was to review the biochemical results of selective arterial calcium...

Deep image mining for diabetic retinopathy screening.

Deep learning is quickly becoming the leading methodology for medical image analysis. Given a large ...

Supervised learning and dimension reduction techniques for quantification of retinal fluid in optical coherence tomography images.

PurposeThe purpose of the present study is to develop fast automated quantification of retinal fluid...

Anti-inflammatory effect of cinnamaldehyde and linalool from the leaf essential oil of Cinnamomum osmophloeum Kanehira in endotoxin-induced mice.

Cinnamomum osmophloeum Kanehira is a Taiwan native plant that belongs to genus Cinnamomum and is als...

A Predictive Model for Guillain-Barré Syndrome Based on Single Learning Algorithms.

. Guillain-Barré Syndrome (GBS) is a potentially fatal autoimmune neurological disorder. The severit...

Automated Identification of Diabetic Retinopathy Using Deep Learning.

PURPOSE: Diabetic retinopathy (DR) is one of the leading causes of preventable blindness globally. P...

Polymorphism of angiotensin-converting enzyme (rs4340) and diabetic nephropathy in Caucasians with type 2 diabetes mellitus.

Diabetic nephropathy (DN) is the leading cause of endstage renal disease (ESRD) in developed countri...

An extensive analysis of various texture feature extractors to detect Diabetes Mellitus using facial specific regions.

INTRODUCTION: Researchers have recently discovered that Diabetes Mellitus can be detected through no...

Learning Effective Treatment Pathways for Type-2 Diabetes from a clinical data warehouse.

Treatment guidelines for management of type-2 diabetes mellitus (T2DM) are controversial because exi...

Predicting DPP-IV inhibitors with machine learning approaches.

Dipeptidyl peptidase IV (DPP-IV) is a promising Type 2 diabetes mellitus (T2DM) drug target. DPP-IV ...

Multimodal Imaging in Diabetic Macular Edema.

Throughout ophthalmic history it has been shown that progress has gone hand in hand with technologic...

The Potential Therapeutic Application of Peptides and Peptidomimetics in Cardiovascular Disease.

Cardiovascular disease (CVD) remains a leading cause of mortality and morbidity worldwide. Numerous ...

Diagnostic Method of Diabetes Based on Support Vector Machine and Tongue Images.

. The purpose of this research is to develop a diagnostic method of diabetes based on standardized t...

Effects of Ipragliflozin on Diabetic Nephropathy and Blood Pressure in Patients With Type 2 Diabetes: An Open-Label Study.

BACKGROUND: Sodium-glucose cotransporter 2 (SGLT2) inhibitors are novel agents used to treat type 2 ...

Asymptomatic Epstein-Barr Virus Shedding in the Urine of Kidney Transplant Recipients: Case Reports and Review of the Literature.

Epstein-Barr virus (EBV) is associated with a wide range of malignancies and complications like post...

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