Endocrinology

Diabetes

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

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Enhancing pathological feature discrimination in diabetic retinopathy multi-classification with self-paced progressive multi-scale training.

Diabetic retinopathy (DR) is a common diabetes complication that presents significant diagnostic cha...

Deep phenotyping of health-disease continuum in the Human Phenotype Project.

The Human Phenotype Project (HPP) is a large-scale deep-phenotype prospective cohort. To date, appro...

Postoperative complication severity prediction in penile prosthesis implantation: a machine learning-based predictive modeling study.

Prediction of postoperative complications is crucial in surgical care, particularly for penile prost...

BertADP: a fine-tuned protein language model for anti-diabetic peptide prediction.

BACKGROUND: Diabetes is a global metabolic disease that urgently calls for the development of new an...

Multimodal deep learning improving the accuracy of pathological diagnoses for membranous nephropathy.

OBJECTIVES: Renal biopsy is the gold standard for the diagnosis of glomerular diseases including mem...

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...

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...

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...

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 ...

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...

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...

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...

Diabetic retinopathy in rural communities: a review of barriers to access of care and potential solutions.

INTRODUCTION: Diabetic retinopathy (DR) is a leading cause of vision loss. With an estimated 38.4 mi...

Unraveling the oxidative stress landscape in diabetic foot ulcers: insights from bulk RNA and single-cell RNA sequencing data.

BACKGROUND: Oxidative stress plays a crucial role in the development of diabetic foot ulcers (DFU). ...

Uncovering key markers and therapeutic targets for renal fibrosis in diabetic kidney disease through bulk and single-cell RNA sequencing.

BACKGROUND: Diabetic kidney disease (DKD) is the major cause of chronic kidney failure, with tubuloi...

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