Atherosclerosis

Activating the SDF-1/CXCR4 axis: Notoginsenoside R1-Functionalized zinc scaffolds accelerate fracture healing and angiogenesis in diabetic osteoporosis.

Effective treatment of diabetic osteoporotic fractures (DOF) requires biomaterials capable of promot...

Budget Impact of Faricimab in Neovascular Age-Related Macular Degeneration in the Netherlands: A Systematic Review and Meta-Analysis of Injection Count.

INTRODUCTION: Frequent anti-vascular endothelial growth factor (anti-VEGF) injections for the treatm...

Artificial intelligence based prediction of first recurrence in neovascular age related macular degeneration with validation by 19 experts.

This study aimed to investigate the value and difference in predictive performance between ophthalmo...

Foundation models enable wearable signal screening for cardiovascular disease among people living with HIV.

BACKGROUND: Cardiovascular disease screening faces significant challenges in resource-limited settin...

Accelerated brain aging in amyotrophic lateral sclerosis and its prognostic associations: a cohort study.

BACKGROUND: Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease, appearing to b...

Imaging and Quantification of Perivascular Adipose Tissue.

Perivascular adipose tissue (PVAT) is a metabolically active tissue that influences vascular functio...

Co-occurrence patterns and related risk factors of dementia and Parkinson's disease among older adults across 204 countries and territories: a spatial correspondence and systematic analysis.

BACKGROUND: Dementia and Parkinson's disease (PD) are among the most prevalent neurological disorder...

Unveiling the fate of heavy metals along the soil-rice-human pathway: Source-sink quantification, rhizospheric processes, and health implications.

Rapid industrial and agricultural intensification is increasing multi-source heavy metals (HMs) inpu...

Artificial intelligence based retinal imaging for cardiovascular risk and statin guidance in retinal vein occlusion.

Joint processing technology of laser radar and optical image for power distribution.

Due to the unpredictability of loads and the complexity of fault propagation, modern power distribut...

Machine Learning Predictive Models for Prognosis in Patients undergoing Endovascular Abdominal Aortic Aneurysm Repair.

BACKGROUND: An increasing number of patients with abdominal aortic aneurysms (AAAs) are opting for e...

Initial diagnosis and management of acute ischemic stroke: recent update and future direction.

Acute ischemic stroke (AIS) outcomes depend critically on rapid, accurate early diagnosis in the eme...

Assessment of Correlation Between Diabetic Retinopathy and Metabolic Biomarkers Using Artificial Intelligence.

BACKGROUND: One of the main causes of blindness in the world, diabetic retinopathy (DR) is a dangero...

Identifying endoplasmic reticulum stress-related key genes of vascular dementia using bioinformatics and biological experiments.

Vascular dementia (VaD) is the second most common type of dementia, yet its pathogenesis is not full...

Coronary artery calcium clinical utilization: An update.

Coronary artery disease (CAD) remains a leading cause of mortality and morbidity worldwide. Coronary...

Predicting Cerebral Aneurysm Recurrence after Coil Embolization: A Novel Deep Learning Approach Using Time-of-flight Magnetic Resonance Angiography.

The recurrence of cerebral aneurysms after coil embolization remains a significant concern in clinic...

Predictors of Outcome Clusters in Patients With Unruptured Intracranial Aneurysms Treated With Microsurgery: An Unsupervised Machine Learning Analysis.

BACKGROUND AND OBJECTIVES: Identifying surgical candidates who are prone to poor outcomes is crucial...

Association between the insulin resistance indices and incident type 2 diabetes across different body mass index states: a cohort study and external validation from two East Asian populations.

BACKGROUND: Insulin resistance (IR) indices like the TyG index are predictors of type 2 diabetes (T2...

Programmable lipid nanoparticles for RNA therapeutics: Design principles and clinical translation.

RNA therapeutics have come of age as clinically validated modalities including mRNA, siRNA, antisens...

YiQiFuMai ameliorates hypoperfusion-induced cerebral infarction by targeting the shear stress-PLBD1-glycolysis-angiogenesis axis.

BACKGROUND: Hypoperfusion-induced cerebral infarction remains a significant therapeutic challenge du...

A risk model to predict atrial fibrillation in diabetes using machine learning: The ACCORD study.

BACKGROUND: Machine learning (ML) may improve prediction of atrial fibrillation (AF), but its value ...