Diabetes

Optimizing guideline-directed medical therapy in chronic kidney disease and type 2 diabetes mellitus patients in primary care.

BACKGROUND: Despite KDIGO (Kidney Disease: Improving Global Outcomes) recommendations for renin-angi...

Detection and quantification of fluorescein angiography leakage: From manual grading to advances in machine learning.

Fluorescein angiography (FA) has long been a cornerstone for evaluating retinal vascular leakage in ...

Exploration and analysis of methylglyoxal-driven chronic inflammation in polycystic ovary syndrome.

INTRODUCTION: Chronic low-grade inflammation drives polycystic ovary syndrome (PCOS)-related metabol...

Letter to the Editor "The role of artificial intelligence in diabetic retinopathy screening in type 1 diabetes: A systematic review".

Flexible wearable medical devices: from material innovations and data processing to intelligent healthcare applications.

BACKGROUND: Flexible wearable medical devices drive healthcare transformation via non-invasive, real...

Proteomic signature of dementia risk in type 2 diabetes.

INTRODUCTION: Type 2 diabetes (T2D) significantly increases dementia risk, yet the molecular mechani...

FTIR spectroscopy imaging coupled with machine learning reveals biochemical changes in the brains of diabetic mice.

Diabetic encephalopathy is a progressive complication of type 2 diabetes, yet its region-specific bi...

Predicting fracture toughness of human cortical bone from donors with and without type 2 diabetes using Raman spectroscopy and machine learning.

Type 2 diabetes mellitus (T2DM) is associated with increased skeletal fragility, yet standard clinic...

Emerging innovations in ophthalmic drug delivery for diabetic retinopathy: a translational perspective.

Diabetic retinopathy (DR) is a progressive microvascular complication of diabetes and a leading caus...

Modification and applications of glucose oxidase: optimization strategies and high-throughput screening technologies.

Glucose oxidase (GOD), an oxidoreductase (EC 1.1.3.4), catalyzes the oxidation of β-D-glucose to glu...

Prediabetes phenotypes: can aetiology and risk profile guide lifestyle strategies for diabetes prevention?

INTRODUCTION: Type 2 diabetes (T2D) continues to worsen globally alongside rise in obesity. Asymptom...

Identification of diagnostic biomarkers and dissecting immune microenvironment with crosstalk genes in the POAG and COVID-19 nexus.

An underlying association between primary open-angle glaucoma (POAG) and COVID-19 has been hypothesi...

Identification and validation of epithelial‑mesenchymal transition‑related genes for diabetic nephropathy by WGCNA and machine learning.

Diabetic nephropathy (DN) is the main cause of end‑stage renal disease, with epithelial‑mesenchymal ...

Development and validation of personalized risk prediction models for patients with IgA nephropathy: a nationwide multicenter cohort study.

BACKGROUND: Effective prediction of immunoglobulin A nephropathy (IgAN) progression is crucial for e...

Diagnostic immune-related markers for diabetic kidney disease: a bioinformatics and machine learning approach.

OBJECTIVE: Diabetic kidney disease (DKD) is a leading cause of chronic kidney disease, with chronic ...

Exhaled gas biomarkers: a non-invasive approach for distinguishing diabetes and its complications.

Exhaled gas detection offers a safe, convenient, and non-invasive clinical diagnostic method for pre...

Diabetic retinopathy detection using adaptive deep convolutional neural networks on fundus images.

Diabetic retinopathy (DR) is an age-related macular degeneration eye disease problem that causes pat...

Enhancing diabetes risk prediction through focal active learning and machine learning models.

To improve the effectiveness of diabetes risk prediction, this study proposes a novel method based o...

A comparative approach of machine learning models to predict attrition in a diabetes management program.

Approximately 11.6% of Americans have diabetes and South Carolina has one of the highest rates of ad...

Identification and verification of feature biomarkers associated with CD14 monocytes in type 1 diabetes.

AIMS/INTRODUCTION: Monocytes contribute to the immune dysregulation of pancreatic islets in Type 1 d...

Targeting PFKFB3 to restore glucose metabolism in acute pancreatitis via nanovesicle delivery.

BACKGROUND: Acute pancreatitis (AP) is a severe inflammatory disease frequently accompanied by distu...