Diabetes

Integrated analysis of single-cell and bulk RNA-seq data identifies NR4A1-associated macrophages in immunoglobulin A nephropathy.

Immunoglobulin A nephropathy (IgAN), the most prevalent primary glomerulonephritis worldwide, is cha...

Machine learning-based prediction of large-for-gestational-age neonates in diabetic and non-diabetic pregnancies.

OBJECTIVE: This study determines whether a machine-learning model integrating sonographic biometry w...

Relationship between cardiometabolic index and worsening renal function in T2DM: Insights from machine learning, growth mixture modelling, and development of a web-based risk prediction tool.

AIM: Worsening renal function (WRF) is a common and serious complication of type 2 diabetes mellitus...

Neuroinflammation and insulin resistance in major depression and bipolar disorder: Implications for clinical trials evaluating immunometabolic targeted therapies.

Bipolar disorder (BD) and major depressive disorder (MDD) are highly prevalent, disabling psychiatri...

Federated Learning for Multi-Disease Ophthalmic Diagnostics Using OCT Angiography.

PURPOSE: To conduct a comprehensive systematic evaluation of federated learning (FL) strategies for ...

Pathway to precision: machine learning and bioinformatics in diabetes gene expression studies.

BACKGROUND: Diabetes mellitus is a metabolic disorder; understanding the pathogenic mechanisms under...

The efficacy of CGM driven machine learning algorithms in predicting hypoglycemia in patients with T1DM: a systematic review and meta-analysis.

PURPOSE: An important function of continuous glucose monitoring (CGM) is to alert individuals with t...

Comments on: "Artificial intelligence improves survival decision-making in diabetic emergencies: A cross-sectional study".

Literature-informed ensemble machine learning for three-year diabetic kidney disease risk prediction in type 2 diabetes: Development, validation, and deployment of the PSMMC NephraRisk model.

INTRODUCTION: Diabetic kidney disease (DKD) and diabetic nephropathy (DN) affect around 40% of diabe...

Synergistic impact of insulin resistance and hepatic fibrosis on cardiovascular events in patients with coronary artery disease: A machine learning subtyping and interaction analysis.

BACKGROUND AND AIMS: Insulin resistance (IR) and hepatic fibrosis are significant yet underexplored ...

Automated Feature Segmentation of Ultra-Widefield OCT Images.

OBJECTIVE OR PURPOSE: To develop a lightweight neural network for automated cross-sectional and en f...

AI-powered literature mining reveals the therapeutic significance of GLP-1 receptor: Simulation of natural agonist candidates based on molecular dynamics.

Glucagon-like peptide-1 (GLP-1), a pivotal incretin hormone modulating glycemic homeostasis, has eme...

Explainable machine learning-driven predictive modelling of incident cognitive impairment in individuals with early-stage cardiovascular-kidney-metabolic syndrome: Insights from a longitudinal CHARLS cohort study.

AIMS: While cardiovascular-kidney-metabolic (CKM) syndrome has been recognised as a continuum of int...

Clinical utility of an AI-based retinal imaging model for cardiovascular risk prediction in hypertensive retinopathy.

OBJECTIVE: This study presents an independent clinical evaluation of Dr.Noon CVD, a commercially dev...

Machine learning-based binary classification of elevated HbA1c (≥6.5 %) for risk assessment.

OBJECTIVE: One of the most important biomarkers for evaluating long-term glycemic management and est...

Prediction model for the risk of vitreous haemorrhage after vitrectomy combined with intraocular injection for the treatment of proliferative diabetic retinopathy.

OBJECTIVE: The purpose of this study was to develop a lightweight multimodal deep learning model for...

Predictors of glycemic control with imeglimin for type 2 diabetes: Results of machine learning analyses using clinical trial data.

INTRODUCTION: Identifying patient characteristics predictive of treatment response is crucial for op...

Early, unplanned readmission in diabetes inpatients: Comparing the utility and performance of machine learning and traditional prediction models to guide timely diabetes management team review.

BACKGROUND: Inpatients with diabetes have higher early unplanned readmission (EUR) rates. Diabetes m...

SODAS: Second-order optimization differential architecture search for diabetic retinopathy prediction.

Diabetic retinopathy, which is a retinal disease that results from diabetes, has become the leading ...

Joint Associations of Type D Personality and Allostatic Load With Coronary Artery Disease in Type 2 Diabetes: Evaluating the Role of Allostatic Load.

OBJECTIVE: This study aimed to (1) evaluate and compare the independent associations and predictive ...

Gut microbiome profiles and associated functional pathways are linked to Mediterranean diet adherence and blood glucose control in adults with type 1 diabetes mellitus.

BACKGROUND AND AIMS: The Mediterranean diet (MD) has been associated with better glycaemic control i...