Atherosclerosis

Key factors of the deranged antiviral response in elderly patients with COVID-19: a machine-learning analysis.

Age is a well-known risk factor to develop severe viral respiratory infections, including severe COV...

Prevalence of Lipoprotein(a) Testing in Patients With Atherosclerotic Cardiovascular Disease Within a Large Australian Cardiology Network.

BACKGROUND: Increased lipoprotein(a) (Lp[a]) is a genetically determined causal risk factor for athe...

Single-Cell Profiling Identifies CLEC5A+ Macrophages as Key Drivers of Thoracic Aortic Aneurysm Via CCL5-Mediated M1 Polarization.

BACKGROUND: Thoracic aortic aneurysm (TAA) is a life-threatening disease with limited therapeutic op...

Deep learning-based early prediction of carotid plaque response to lipid-lowering therapy using longitudinal multimodal ultrasound imaging.

OBJECTIVE: This study aimed to develop and validate a deep learning prediction model using longitudi...

Risk prediction models for incident heart failure: a systematic review and meta-analysis.

BACKGROUND: Early identification of patients at risk of heart failure (HF) provides opportunities fo...

Detection of calcified plaques: comparison between coronary CT angiography and thin-slice non-contrast CT with deep learning-aided image registration.

OBJECTIVES: To investigate whether coronary CT angiography (CCTA) misses calcified plaques detected ...

Coronary Computed Tomography and Artificial Intelligence-based Plaque Analysis.

Multimodal imaging in left main and bifurcation revascularization: contemporary evidence and comparative modalities review.

Left main (LM) and bifurcation coronary artery disease (CAD) are anatomically complex lesions which ...

Molecular Biomarkers and Risk Prediction Models for Acute Kidney Injury Following Liver Transplantation: A Review.

Liver transplantation is the definitive treatment for end-stage liver disease; however, postoperativ...

Comparative Evaluation of 3D-QALAS Myelin Volume Fraction, Inhomogeneous Magnetization Transfer, and Myelin Water Fraction.

BACKGROUND AND PURPOSE: Accurate in vivo quantification of myelin remains challenging despite advanc...

Prevalent vertebral fracture (PVFx) and abdominal aortic calcification (AAC) independently predict incident atherosclerotic cardiovascular disease (ASCVD) events in older men.

PURPOSE: To estimate the associations of prevalent vertebral fracture (PVFx) and abdominal aortic ca...

STC2-mediated calcium homeostasis dysregulation in the osteosarcoma microenvironment: Insights from single-cell sequencing and machine learning.

BACKGROUND: Osteosarcoma (OS) is an aggressive bone malignancy with a poor prognosis. Dysregulated c...

Deep learning for carotid Doppler spectra classification.

Ferritin and transferrin predict common carotid intima-media thickness in females: a machine-learning informed individual participant data meta-analysis.

Cardiovascular toxicity of ethyl maltol exposure: a comprehensive investigation from virtual screening to experimental validation.

Ethyl maltol is a ubiquitous synthetic flavor enhancer. Despite its widespread use in foods, beverag...

Artificial Intelligence-Guided Quantitative Coronary CT Assessment to Rule-In or Rule-Out Myocardial Ischemia.

AIMS: To evaluate the ability of AI-based quantitative CT (AI-QCT) parameters, diameter stenosis, pe...

Artificial Intelligence-Empowered Image Fusion of Coronary Computed Tomography Angiography and Invasive Angiography for Guiding Chronic Total Occlusion Percutaneous Coronary Intervention.

Coronary computed tomography angiography (CCTA) provides qualitative and quantitative characteristic...

[Annual advances in clinical applications of pulmonary function testing 2025].

This review systematically synthesizes and critically appraises domestic and international advances ...

Identification of mitochondria-related genes in calcific aortic valve disease by integrated analysis of single-cell and bulk transcriptomic atlases.

UNLABELLED: Calcific aortic valve disease (CAVD) is a highly prevalent heart valve disorder in which...

A machine-learning-based tool for stroke risk prediction in blunt cerebrovascular injury: development and preliminary evaluation.

PURPOSE: Stroke risk correlates with the Biffl grading system in blunt cerebrovascular injury (BCVI)...

Plaque-level machine-learning prediction of carotid plaque vulnerability on computed tomography angiography.