Diabetes

Protective Effect of the FOXO3 Gene in Cardiometabolic Disease in the CHAMP Cohort.

Recent findings from the Honolulu Heart Program cohort in Hawaii suggest a longevity-associated vari...

Use of continuous glucose monitoring to stratify individuals without diabetes.

BACKGROUND: Early detection of metabolic dysfunction before diabetes onset remains a critical challe...

Integrated cortical-cognitive signatures identified by machine learning enable early detection of MCI in type 2 diabetes.

Type 2 Diabetes Mellitus (T2DM) confers a significant risk for Mild Cognitive Impairment (MCI), yet ...

Exploring the potential of XAI methods in generating clinically meaningful explanations for glycemia prediction in diabetes patients.

The economic imperative of artificial intelligence in maternal and neonatal health: a review of evaluation benefits, frameworks, challenges, future perspectives, and limitations.

Integrating artificial intelligence (AI) into maternal and neonatal health (MNH) offers significant ...

Interpretable Graph Convolutional Networks for cardiovascular disease risk prediction in patients with Type 2 Diabetes Mellitus.

BACKGROUND: Cardiovascular disease (CVD) is the most prevalent complication of Type 2 Diabetes Melli...

Development and Validation of a Deep Learning System for Echocardiographic Assessment of 16-Segment LV Wall Thickness.

OBJECTIVES: The quantitative analysis of 16-segment left ventricular wall thickness can provide insi...

Systematic review of Artificial Intelligence-based methods for glycemic control and risk prediction in intensive care units.

BACKGROUND: Achieving safe glycemic targets in intensive care remains difficult due to rapidly chang...

Real world practice of Artificial intelligence Diagnostic System for Diabetic Retinopathy in Taiwan.

PURPOSE: We evaluated the alterations of applying artificial intelligence (AI) diagnostic system for...

A generalizable eye disease detection method based on Zero-Shot Learning.

BACKGROUND: Deep learning faces a significant bottleneck in medical image analysis due to its relian...

Association of the estimated glucose disposal rate combined with a body shape index with all-cause and cardiovascular-specific mortality among individuals with cardiovascular-kidney-metabolic syndrome.

BACKGROUND: Individuals with cardiovascular-kidney-metabolic (CKM) syndrome exhibit a substantially ...

Identifying serum amino acid as biomarkers of gestational diabetes mellitus in second-trimester among Chinese pregnant women: a machine learning-based cross-sectional study.

BACKGROUND: Levels of plasma branched-chain and aromatic amino acids in pregnancy have been associat...

Glucose Predictions Improve Glycemic Control: A Digital Twin Evaluation.

BACKGROUND: Glucose predictions aim to empower continuous glucose monitoring (CGM) users by enabling...

Computational Redesign of an Ancestral Xylose Isomerase: Tuning the Substrate Preference and Thermostability for Biomass Valorization.

Xylose isomerase is a promising biocatalyst for lignocellulose valorization, but natural enzymes are...

Digital Health Solutions for Type 2 Diabetes and Prediabetes: Systematic Review of Engagement Barriers, Facilitators, and Outcomes.

BACKGROUND: Digital health interventions, including artificial intelligence (AI)-driven solutions, o...

Complete Blood Count-Derived Inflammation Indices to Predict 3-Year All-Cause Mortality in Patients With Diabetes and Acute Myocardial Infarction in Critical Care: Retrospective Cohort Study With Single-Center External Validation.

BACKGROUND: Inflammation plays a pivotal role in the progression of diabetes and its cardiovascular ...

Identification and validation of ferroptosis-related genes for diabetic nephropathy.

BACKGROUND: Emerging evidence highlights the pivotal role of ferroptosis in the pathophysiology of d...

Validation of the Eyerobo FC Portable Fundus Camera for Diabetic Retinopathy Screening Using Public Datasets and Deep Learning.

INTRODUCTION: To validate the diagnostic performance of the Eyerobo FC, a new portable non-mydriatic...

DeepStackVEGF a stacking ensemble deep learning framework for vascular endothelial growth factor prediction.

Vascular Endothelial Growth Factor (VEGF) plays a central role in angiogenesis, regulating both phys...

Quantitative Sensing of Monosaccharide Isomers with High Resolution and Attomolar Limit of Detection.

The quantitative detection of monosaccharide isomers holds significant promise for both the diagnosi...

Glucose forecasting and hypoglycemia forewarning in type 1 and type 2 diabetes using deep learning.

Hypoglycemia is a major barrier to safe diabetes management. Although deep learning has been widely ...