Diabetes

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 promising non-invasive window into glycemic status; however, existing studies frequently combine distinct glucose measurements and employ validation strategies susceptible to data leakage. Because HRV declines by approximately 3-5% per decade due to age-related autonomic degeneration, absolute HRV values...

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 patients with diabetes and to estimate the diabetic retinopathy (DR) severity, comparing different methods of analysis and grading. METHODS: Prospective, cross-sectional, observational study. A mosaic of overlapped retinal images in nonmydriatic condition was acquired, evaluating the gradable images...

Identifying Bariatric Surgery Patients With the Most Favorable Cost Outcomes.

OBJECTIVE: To examine whether the economic benefits of bariatric surgery differ by patient subgroups, with the aim of identifying those that may yield...

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-cell dysfunction. The ATP-sensitive potassium KATP c...

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) guidelines by persistent (≥3 months) abnormalities of ...

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

The application of artificial intelligence (AI) in clinical diagnostics has shown substantial potential; however, conventional centralized learning fr...

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 insulin doses; however, it is often burdensome. Mobil...

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 addressing key risk factors through lifestyle chang...

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 to unclear targets. MicroRNAs (miRs) play critical...

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

PURPOSE OF REVIEW: Artificial intelligence has transitioned from theoretical promise to practical implementation across medicine including pediatric e...

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 mucosal disease shaped by microbial interactions ac...

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

BACKGROUND: The integration of artificial intelligence into retinal practice represents more than a technological advancement; it constitutes an anthr...

Artificial Intelligence in Diabetes Care.

BACKGROUND: Diabetes care requires frequent and high-stakes decisions that must be made in the setting of substantial day-to-day physiologic variabili...

AI-Guided 4D Printing of Carnivorous Plants-Inspired Microneedles for Accelerated Wound Healing.

Artificial intelligence (AI) integrated with bioinspired design enables the development of materials that adapt and dynamically respond to biological ...

Polygenic and polysocial risk scores in post-type 2 diabetes dementia: Risk stratification and predictive modeling in the UK Biobank cohort.

BackgroundDementia is a common complication of type 2 diabetes mellitus (T2DM), influenced by both genetic susceptibility and social disadvantages. Wh...

Multi-scale adaptive fusion network for retinal layer and fluid segmentation in optical coherence tomography B-scans.

Major treats to visual health includes diabetic macular edema (DME), age-related macular degeneration (AMD) and retinal vein occlusion (RVO), which re...

A Wavelet AI Algorithm to Automatically Identify Postprandial Glucose Responses From Continuous Glucose Monitoring Profiles in People Without Diabetes.

BACKGROUND: Automated identification of postprandial glucose responses (PPGR) from continuous glucose monitoring (CGM) profiles may detect early dysgl...

Short-Peptide Biomaterials for Angiogenesis and Lymphangiogenesis: Advances in Tissue Engineering and Regenerative Medicine.

Vascular and lymphatic vessel regeneration is crucial for tissue repair and organ function restoration. However, conventional biomaterials are often c...

A Deep Learning Prognostic Model for Diabetes Patients Using Bilateral Fundus Imaging.

AIMS: Diabetes mellitus shortens life expectancy, driven primarily by premature mortality from vascular complications. Mortality models for intensive ...

Mesenchymal stem cell-derived extracellular vesicles in the treatment of type 2 diabetes and its complications: current progress and future directions.

Type 2 diabetes (T2D) and its complications represent a complex disorder involving multiple pathophysiological processes. Although conventional therap...