Diabetes

The shared mechanisms and potential diagnostic markers for IgA nephropathy and celiac disease.

IgA nephropathy (IgAN) and celiac disease (CeD) are autoimmune disorders characterized by dysregulat...

Smart Kiosk for Nutritional Management of People With Diabetes in Underserved Communities: Development and Technical Evaluation.

BACKGROUND: Diabetes is a chronic disease with a high global prevalence, increasing from 200 million...

Automated Report Generation in Ophthalmology: Integrating Artificial Intelligence, Multimodal Imaging, and Clinical Data.

Artificial intelligence (AI) has emerged as a transformative force in ophthalmology, enabling automa...

OPU-NET-DADENA: Optimized deep learning ensemble with u-net segmentation for early detection of diabetic retinopathy.

One of the most significant microvascular complications of diabetes mellitus (DM) is diabetic retino...

Hepatic and abdominal adiposity in type 2 diabetes as assessed with machine learning on computed tomography scans.

AIMS: The combined assessment of multiple abdominal imaging traits in relation to type 2 diabetes re...

A machine learning approach to predicting severe diabetes distress in adults with type 1 diabetes mellitus.

BACKGROUND: Diabetes distress is common in patients with type 1 diabetes mellitus (T1DM). The aim of...

Bioactive Substances Characterization in Probiotic-Fermented Guava (Psidium guajava L.) Juice and Systematic Evaluation of its Anti-Hyperglycemic Activity.

The development of natural anti-hyperglycemic agents with minimal side effects is a critical objecti...

Stacked ensemble learning and in-silico profiling reveal dual DPP-IV and SGLT2 inhibitors from Moringa oleifera metabolites.

Diabetes mellitus (DM) is a growing global health challenge, particularly in low-resource settings w...

Identifying a fatty acid metabolic gene signature in diabetic cardiomyopathy through integrated bioinformatics and machine learning.

BACKGROUND: Diabetic cardiomyopathy (DCM) is a major cardiovascular complication of diabetes mellitu...

Hypoglycemia problem-solving ability as a key predictor of severe hypoglycemia: a machine learning approach in adults with type 1 diabetes.

AIMS/INTRODUCTION: Severe hypoglycemia (SH) is a major complication in adults with type 1 diabetes m...

A machine learning model for optimizing treatment of patients with poorly controlled type 2 diabetes.

BACKGROUND: Cardiorenal-protective sodium-glucose cotransporter-2 inhibitors (SGLT-2i) and glucagon-...

Application of machine learning approaches to develop predictive models for diabetes and hypertension among Bangladeshi Adults.

With rapid urbanization, lifestyle changes, and an aging population, non-communicable diseases (NCDs...

Smart insulin dosage software based on trend arrows: an effective method for controlling hyperglycemia in hospitalized diabetic patients in non-endocrine departments (a randomized controlled trial).

Epidemiological Trajectories and Quality of Care Disparities of MASLD in Asia, 1990-2023.

BACKGROUND: To characterize temporal and geographic patterns of metabolic dysfunction-associated ste...

Exploring the feasibility of near-infrared spectroscopy and machine learning for detecting cardiovascular diseases and diabetes mellitus in fingernails.

Cardiovascular diseases (CVDs) and diabetes mellitus (DM) are significant conditions that impact liv...

Deep-Q-Network in Multiview Ensemble Learning to Predict Anti-diabetic Peptide and Diabetic Types.

Diabetes mellitus disease has become a significant human health concern globally, causing cardiovasc...

AI-integrated smartphone platform enables POC dual-channel glucose monitoring with an indicator-free nanozyme gel kit.

We developed an indicator-free, dual-mode glucose monitoring platform by synthesizing glucose oxidas...

Machine learning-predicted insulin resistance is a risk factor for 12 types of cancer.

Insulin resistance is suggested to be a risk factor for cancer; however, large-scale epidemiological...

Risk Prediction of Chronic Kidney Disease Progression in Type 2 Diabetes Mellitus Across Diverse Populations.

Chronic kidney disease (CKD) is a common complication of type 2 diabetes mellitus (T2DM), with limit...

Reliable discrimination of type 1 and type 2 diabetes by flow-through leukocyte-endothelium interactions exploiting advanced hydrodynamic detection parameters.

Type 1 (T1D) and type 2 diabetes (T2D) are both associated with chronic inflammation and endothelial...

Corrigendum to "Predicting postpartum glucose intolerance in women with gestational diabetes mellitus in primary care: A machine learning approach using XGBoost and SHAP values" [Diabetes Res. Clin. Pract. 232 (2026) 113098].