Diabetes

Hyperglycemia-driven metabolic memory signaling destabilizes METTL1 to trigger inflammatory hypertrophy and fibrosis in diabetic cardiomyopathy.

BACKGROUND: Diabetic cardiomyopathy (DCM) occurs in the context of coronary artery disease or pressure overload heart disease, characterized by alterations in cardiac structure and function. The mechanisms linking metabolic memory and METTL1-mediated modifications to DCM progression remain unclear. METHODS: This study integrated multiple public transcriptome datasets to conduct a systematic analys...

Continuous Glucose Monitoring-Derived Metrics and Cardiovascular Risk Among People With Diabetes: Systematic Scoping Review.

BACKGROUND: Conventional clinical markers guide cardiovascular risk stratification; however, continuous glucose monitoring (CGM) data remain absent from prediction models. A synthesis of the current literature is needed to clarify the prognostic relevance of CGM data for cardiovascular outcomes in people with diabetes. OBJECTIVE: This scoping review aimed to identify published studies examining (1...

MORGAS (MORtality ORiented Glucose, Age, Smoking, and Stent Score) predicts mortality after percutaneous coronary intervention.

BACKGROUND: Accurate prediction of mortality after percutaneous coronary intervention (PCI) remains a clinical challenge. Existing risk scores often l...

Multimodal deep learning prediction of treatment response to anti-vascular endothelial growth factor in diabetic macular oedema.

OBJECTIVE: To develop and validate a multimodal deep learning model that predicts treatment responses to intravitreal anti-vascular endothelial growth...

Artificial intelligence applications in OCT and OCTA for diabetic retinopathy: A systematic review.

PURPOSE: Diabetic retinopathy (DR) is a leading cause of vision impairment worldwide. Optical coherence tomography (OCT) and OCT angiography (OCTA) pr...

Regional disparities and metabolic determinants of type 2 diabetes in women aged 55 and older.

OBJECTIVE: To assess long-term trends, regional disparities, determinants, and quality of care for type 2 diabetes mellitus (T2DM) among women aged 55...

Classification of retinal diseases based on optical coherence tomography angiography using cross-modal transfer learning of domain-specific foundation AI models.

AIMS: This study evaluated the use of ophthalmic foundation deep-learning models with cross-modal transfer learning to classify multiple diseases on o...

Topology-preserving, diameter-specific framework for conjunctival vessel segmentation and tortuosity analysis in diabetes.

Diabetes is associated with progressive microvascular remodelling, commonly assessed using retinal imaging, yet alternative non-invasive vascular biom...

Non-destructive classification of type 2 diabetic teeth using LIBS-derived elemental biomarkers and machine learning.

BACKGROUND: Type 2 diabetes mellitus (T2DM) is a chronic metabolic illness that severely alters oral health, elevating periodontal infection incidence...

AI in Clinical Decision Support Systems: Promising Applications and Strategies for Managing Data Challenges.

The translation of big data analytics and artificial intelligence (AI) into clinical decision support systems (CDSSs) has advanced from proof of conce...

An interpretable progressive residual network for automated multiclass diabetes diagnosis.

Diabetes mellitus remains one of the most widespread and burdensome chronic diseases worldwide, yet invasive assays and high costs constrain early det...

The association between triglyceride glucose-frailty index and cardiometabolic multimorbidity among Chinese middle-aged and older adults: a national prospective cohort study.

BACKGROUND: Cardiometabolic multimorbidity (CMM) poses a growing global health burden, yet few studies have combined the Triglyceride-Glucose (TyG) in...

Auto Machine Learning for Diabetic Retinopathy Screening: A Head-to-Head Multiplatform Comparison Against Human Graders and IDx-DR.

PURPOSE: To benchmark multiple automated machine learning (AutoML) platforms for diabetic retinopathy (DR) screening from fundus photographs using a u...

Smart label-free SPR biosensing platform for hemoglobin and urine glucose detection via machine learning.

This article presents the design and the numerical analysis of a smart label-free Surface Plasmon Resonance (SPR) sensor to detect the concentration o...

Identification of MMP14 and FOS as key regulators of vascular smooth muscle cell senescence in diabetic kidney disease: A combined bioinformatics and experimental study.

OBJECTIVE: Diabetic kidney disease (DKD) is a leading microvascular complication of diabetes in which vascular smooth muscle cell (VSMC) senescence pl...

Comment On: "External validation of an artificial intelligence-based model for retinopathy of prematurity screening using Phoenix ICON retinal images".

OCT biomarkers in patients with diabetic macular edema treated with dexamethasone implant.

Beyond conventional OCT-based morphological classifications of diabetic macular edema (DME), an expanding range of OCT-derived biomarkers has been ide...

Identification of COL5A1 and TGFBI as key basement membrane genes and their molecular mechanisms in gestational diabetes mellitus.

Gestational diabetes mellitus (GDM) is a common complication during pregnancy, but the role of the basement membrane (BM) in GDM is not well understoo...

Clinically Explainable Disease Diagnosis Based on Biomarker Activation Map.

OBJECTIVE: Artificial intelligence (AI)-based disease classifiers have achieved specialist-level performances in several diagnostic tasks. However, re...

Machine Learning Interpretability to Assess the Association Between Time in Tight Range and Mortality in Cardiogenic Shock.

BACKGROUND: Cardiogenic shock (CS) is a critical condition of end-organ hypoperfusion with high mortality. Fluctuations in blood glucose (BG) levels m...