Diabetes

Improving Diabetic Foot Care With Infrared Thermography and Artificial Intelligence: A Review.

BACKGROUND: One of the most common consequences in individuals with diabetes is the diabetic foot, w...

SoleFusion-Net: an explainable multimodal deep learning framework for diabetic foot syndrome classification in type II diabetes mellitus.

SELFormer-guided discovery of xanthohumol and cirsilineol as multi-target natural therapeutics for type 2 diabetes: computational prediction and experimental validation.

Type 2 diabetes mellitus (T2DM) requires multi-target therapeutic approaches addressing both insulin...

Precision Risk Model Using Quantitative Assessment of Vascular Severity in Telemedicine-Based Screening.

IMPORTANCE: Retinopathy of prematurity (ROP) screening requires frequent examinations to avoid misse...

Retinal vascular phenotyping for early detection of coronary artery disease: quantitative assessment and diagnostic modelling.

OBJECTIVES: To investigate the association between quantitative retinal vascular parameters and coro...

Artificial Intelligence-Guided Optimization of Hyaluronic Acid-Coated Liposomal Linagliptin for Targeted Management of Polycystic Ovary Syndrome.

Linagliptin, a DPP-4 inhibitor commonly used in the management of diabetes mellitus, has shown poten...

Biochemical biomarker-Driven deep learning framework with SHAP-based feature interpretation for diabetes classification.

Diabetes mellitus is a long-term metabolic condition that develops when the body cannot produce insu...

Traffic noise, air pollution, and greenness in relation to age-related macular degeneration: Evidence from a cross-national cohort study.

Age-related macular degeneration (AMD) is influenced not only by biological factors but also by the ...

A lightweight and explainable cardiac signal framework for screening-oriented cardiometabolic risk assessment.

Early identification of cardiometabolic and autonomic dysfunction using electrocardiogram (ECG) sign...

A fundus image dataset for intelligent diabetic retinopathy system.

Diabetic retinopathy (DR), the most prevalent microvascular complication of diabetes mellitus, is th...

Re-evaluating heart rate variability biomarkers for glucose sensing: the impact of age normalisation and subject-independent validation.

BACKGROUND: Heart rate variability (HRV) derived from electrocardiogram (ECG) signals offers a promi...

DRSPLUS RETINOGRAPHER IN PATIENTS WITH DIABETES: A Comparison Study by Consensus Grading, Reading Center, and Artificial Intelligence.

PURPOSE: To evaluate the gradable rate of the retinal images acquired with DRSplus retinographer in ...

Multi-Omics and Machine Learning-Driven Discovery of ABCC8 (SUR1) for Diabetes Mellitus: Integrating Molecular Insights on Nigella sativa Bioactives and Sulfonylurea.

Diabetes mellitus is a chronic metabolic disorder characterized by hyperglycemia and pancreatic β-ce...

Pre-heart failure in early chronic kidney disease: clinical epidemiology and treatment.

Chronic kidney disease (CKD), defined per the Kidney Disease: Improving Global Outcomes (KDIGO) guid...

Federated Learning Framework for Privacy-Preserving Explainable AI-Driven Clinical Decision-Making.

The application of artificial intelligence (AI) in clinical diagnostics has shown substantial potent...

Designing a Carbohydrate Counting App for Young Adults With Type 1 Diabetes: Usability Testing Interview Study.

BACKGROUND: Carbohydrate counting (CC) assists people with type 1 diabetes (T1D) adjust mealtime ins...

Exploring Components and Feasibility of Health Coaching Interventions for Self-Management of Type 2 Diabetes: Protocol for a Systematic Review.

BACKGROUND: Type 2 diabetes (T2D) currently has no cure. However, extensive evidence suggests that a...

Identification and Validation of miR-206-3p Targeting WT-1 Promotes Membranous Nephropathy Through a Comprehensive Bioinformatics and Machine Learning Algorithm.

Membranous nephropathy (MN), a major cause of end-stage renal disease, has limited therapeutics due ...

Artificial intelligence in pediatric endocrinology: clinical applications, governance, and future directions.

PURPOSE OF REVIEW: Artificial intelligence has transitioned from theoretical promise to practical im...

The oral-gut microbiome axis in diabetes mellitus: a systematic review and emerging clinical perspectives.

Emerging evidence suggests that diabetes mellitus (DM) is not only a metabolic disorder but also a m...

Artificial intelligence in retinal care: transforming the doctor-patient partnership.

BACKGROUND: The integration of artificial intelligence into retinal practice represents more than a ...