Endocrinology

Diabetes

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

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Non-invasive blood glucose monitoring using PPG signals with various deep learning models and implementation using TinyML.

Accurate and continuous blood glucose monitoring is essential for effective diabetes management, yet...

Deep-learning prediction of cardiovascular outcomes from routine retinal images in individuals with type 2 diabetes.

BACKGROUND: Prior studies have demonstrated an association between retinal vascular features and car...

Type 2 diabetes prediction method based on dual-teacher knowledge distillation and feature enhancement.

Diabetes prediction is an important topic in the field of medical health. Accurate prediction can he...

Characterization of phenolic compounds and evaluation of anti-diabetic potential in L. seeds: and studies.

Moroccan L. seeds were investigated for their phenolic profile and antidiabetic potential. Ultra-hi...

Quantification of L-lactic acid in human plasma samples using Ni-based electrodes and machine learning approach.

This work presents a robust strategy for quantifying overlapping electrochemical signatures originat...

A deep learning-based ADRPPA algorithm for the prediction of diabetic retinopathy progression.

As an alternative to assessments performed by human experts, artificial intelligence (AI) is current...

Risk factors and predictive model construction for lower extremity arterial disease in diabetic patients.

OBJECTIVE: To understand the prevalence and associated risk factors of lower extremity arterial dise...

Methodology for Safe and Secure AI in Diabetes Management.

The use of artificial intelligence (AI) in diabetes management is emerging as a promising solution t...

Heterogeneous blood pressure treatment effects on cognitive decline in type 2 diabetes: A machine learning analysis of a randomized clinical trial.

AIM: We aimed to identify the characteristics of patients with diabetes who can derive cognitive ben...

StUdy of Gestational diabetes And Risk using Electronic Data (SUGARED): a population-based cohort study-study protocol.

INTRODUCTION: The incidence of gestational diabetes mellitus (GDM) in Australia has tripled in the l...

Deep learning-based automated tool for diagnosing diabetic peripheral neuropathy.

BACKGROUND: Diabetic peripheral neuropathy (DPN) is a common complication of diabetes, and its early...

Adipsin and Leptin Levels in Type 2 Diabetic Patients on Sitagliptin and Metformin Versus Metformin Therapy.

OBJECTIVES: Adipsin and leptin are adipokines that link adipose tissue dysfunction and increased fat...

Evaluation of ChatGPT-4 Performance in Answering Patients' Questions About the Management of Type 2 Diabetes.

OBJECTIVES: Type 2 diabetes mellitus is a disease with a rising prevalence worldwide. Person-centere...

Urinary TYROBP and HCK as genetic biomarkers for non-invasive diagnosis and therapeutic targeting in IgA nephropathy.

BACKGROUND: IgA nephropathy (IgAN) is a leading cause of renal failure, but its pathogenesis remains...

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