Diabetes

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 opportunities for enhancing patient care through advanced predictive modeling, early disease diagnosis, and ongoing monitoring of conditions such as preeclampsia or gestational diabetes. However, significant challenges in economic valuation persist, including data scarcity, complexity, and the nasce...

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 Mellitus (T2DM) and a leading cause of mortality in this population. Early and accurate CVD risk prediction is essential for timely intervention, yet traditional clinical risk calculators may overlook complex, non-linear relationships between risk factors, and have exhibited varying performance. Graph ne...

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 insights into the pathological progression of left ven...

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 changing physiology, treatment effects, and measurement...

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 diabetic retinopathy (DR) screening in real-world...

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 reliance on large-scale, expert-annotated datasets. This...

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 elevated risk of all-cause and cardiovascular-spec...

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 associated with gestational diabetes mellitus (GDM), but t...

Glucose Predictions Improve Glycemic Control: A Digital Twin Evaluation.

BACKGROUND: Glucose predictions aim to empower continuous glucose monitoring (CGM) users by enabling preventive actions to reduce adverse glycemic eve...

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 limited by a preference for either d-xylose or d-...

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, offer promise for type 2 diabetes mellitus (T2DM) a...

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 complications, particularly acute myocardial infar...

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

BACKGROUND: Emerging evidence highlights the pivotal role of ferroptosis in the pathophysiology of diabetic nephropathy (DN). This study aimed to iden...

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 fundus camera for diabetic retinopathy (DR) scree...

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 physiological processes such as wound healing, tissue ...

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 diagnosis of metabolic diseases and the development of car...

Nephropathy 1 Formula (N1F) mitigates cisplatin-induced acute kidney injury by inhibiting TAK1-dependent NF-κB signaling.

ETHNOPHARMACOLOGICAL RELEVANCE: Nephropathy 1 Formula (N1F) derives from the classical traditional Chinese medicine (TCM) prescription Biejia Jian Wan...

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 applied to blood glucose (BG) prediction, most stu...

TLR3 as a PANoptosis-related gene: a potential diagnostic biomarker and therapeutic target for diabetic retinopathy.

UNLABELLED: WGCNA was used to identify DR-related PANoptosis genes, and the LASSO, SVM-RFE, and Random Forest machine learning models were then employ...

A multimodal retinal image dataset for diabetic retinopathy detection using foundation models.

Diabetic Retinopathy (DR), a leading cause of preventable blindness worldwide, underscores the urgent need for robust AI-driven diagnostic tools. Alth...