Diabetes

Exosomes in diabetic kidney disease: pathogenesis, biomarker discovery, and emerging therapeutics-a comprehensive systematic review.

Diabetic kidney disease (DKD), characterized by progressive renal dysfunction, is a prevalent microv...

A framework of hybrid deep learning and nature-inspired algorithms for accurate multi-class fundus disease classification.

Fundus imaging is an essential technique for detecting anatomical changes indicative of various opht...

Protective Effects of Riociguat Against Contrast-Induced Nephropathy: An Experimental and Machine Learning-Based Study in Rats.

Contrast-induced nephropathy (CIN) is an important cause of acute kidney injury following exposure t...

Artificial intelligence iterative reconstruction in lower extremity computed tomography angiography (CTA) of diabetic patients: Improved visualization of distal and collateral arteries.

BackgroundThe impact of deep learning (DL)-based computed tomography (CT) reconstruction on the visu...

Data-Driven Phenotypic Clusters of Gestational Diabetes Mellitus and Associations With Risk of Perinatal Complications and Postpartum Diabetes.

OBJECTIVE: Management of gestational diabetes mellitus (GDM) largely follows a uniform approach, des...

Adiposome Lipidomic Shifts Following Bariatric Surgery in Association With Weight Loss and Cardiometabolic Benefit.

CONTEXT: Adiposomes carry bioactive lipids that shape systemic metabolism and vascular function. OBJ...

Joint effects of physical activity and diet quality on depressive symptoms and all-cause mortality in adults with diabetes: NHANES 2007-2018.

Depressive symptoms are common among adults with diabetes and are associated with adverse clinical o...

Integrated molecular and clinical profiling of primary mitochondrial oxidative phosphorylation disorders in an Indian cohort: Insights from genetics, neuroimaging, and machine learning.

Primary mitochondrial disorders are clinically and genetically heterogeneous and remain underdiagnos...

A review on molecular crosstalk: Bioactive polysaccharides and gut microbiota in type 2 diabetes-Pathways, signaling, and therapeutic translation.

Type 2 diabetes mellitus (T2D) is a chronic metabolic disorder characterized by insulin resistance, ...

Insulin resistance prediction from wearables and routine blood biomarkers.

Insulin resistance (IR), a primary precursor to type 2 diabetes, is characterized by impaired insuli...

Tissue morphology predicts telomere shortening in human tissues.

We present TLPath, a deep learning framework that predicts bulk-tissue telomere length from tissue m...

High-Fidelity Synthetic Data Replicates Clinical Prediction Performance in a Million-Patient Diabetes Cohort.

Synthetic patient data offer a promising avenue for clinical research, but their usefulness depends ...

The Virtual Diabetes Control and Complications Trial #4: Relationship of HbA1c and Continuous Glucose Monitoring Metrics with Severe Hypoglycemic Events.

OBJECTIVE: To evaluate how continuous glucose monitoring (CGM)-derived metrics relate to severe hypo...

Improving the Algorithm: The Inclusion of a Socioeconomic Status Measure in Predicting Type 2 Diabetes Development in Youth With Prediabetes.

OBJECTIVE: To evaluate whether the Area Deprivation Index (ADI) contributes to predicting type 2 dia...

Patient Perceptions of Artificial Intelligence in Diabetes Self-Management: Cross-Sectional Survey Study.

BACKGROUND: Artificial intelligence (AI) is increasingly applied in chronic disease management, incl...

An inflammatory biomarker panel for prediabetes classification using interpretable machine learning.

OBJECTIVE: Prediabetes is a silent condition that often goes undetected. However, timely interventio...

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 ...