Peripheral Artery Disease

Identification and validation of cholesterol homeostasis and NK cell-associated predictive and therapeutic models for Coronary atherosclerotic heart disease patients with ST-elevated myocardial infarction: Insights from artificial intelligence and multi-omics.

OBJECTIVE: Dysregulation of Cholesterol homeostasis(CH) and NK cells proportion can increase risk of ST-Elevated Myocardial Infarction(STEMI) for Coronary atherosclerotic heart disease(CAD) patients. Hence, it is necessary for the investigation of CH and MC in pathogenesis of STEMI for CAD patients, providing additional choice for the prevention of STEMI for CAD patients. METHODS: By combining 5 p...

Molecular mechanism leading to human coronary atherosclerosis assessed by proteomic analysis and RNA sequences.

BACKGROUND AND AIMS: Atherosclerosis results from cellular and extracellular changes in the arterial wall, preceded by molecular shifts that initiate disease and drive tissue conversion, yet these changes are not yet fully described. More data are needed concerning these early changes in the coronary artery molecular landscape that signify the initiation of atherosclerosis and the subsequent tissu...

Development and validation of a digital biomarker for peripheral artery disease.

Peripheral artery disease (PAD) is a common manifestation of atherosclerotic cardiovascular disease (ASCVD) that is underdiagnosed in clinical practic...

Cardiovascular Risk Stratification in Youth-Onset Type 2 Diabetes Using Machine Learning.

BACKGROUND: The rising incidence of youth-onset type 2 diabetes mellitus (T2DM), along with the risk of early cardiovascular complications, is concern...

Machine learning models in the prediction of adverse outcomes in peripheral arterial disease: meta-analysis.

OBJECTIVE: This systematic review and meta-analysis aimed to evaluate the performance of machine learning (ML) models compared to traditional statisti...

From Lumen to Myocardium With Artificial Intelligence: A Clinician's Guide to Comprehensive Cardiac CT.

Coronary artery disease assessment has long focused on stenosis severity, yet luminal narrowing alone fails to capture ischemic burden, plaque vulnera...

Multi-omics data mining combined with experimental validation reveals ferroptosis- and autophagy-associated hub genes as diagnostic candidates and immune modulators in atherosclerosis.

BACKGROUND: Atherosclerosis (AS) is a chronic inflammatory vascular disease that can lead to severe cardiovascular events. Ferroptosis and autophagy h...

A large language model-based detection method for poisoning attacks in recommender systems.

Recommender systems are vulnerable to poisoning attacks due to their open nature, allowing attackers to inject malicious user profiles to deliberately...

Sodium nitrite promotes atherosclerosis via IL-1β: Network toxicology and machine learning insights.

BACKGROUND: Atherosclerosis (AS) is a major global health burden. Sodium nitrite, a common environmental and dietary contaminant, has been implicated ...

Deep Learning Radiomics Signature from Multicontrast MRI for Automated Identification of Symptomatic Carotid Plaques: A Multicenter Study.

BACKGROUND AND PURPOSE: Ischemic stroke poses a significant global health burden. Accurately identifying symptomatic carotid atherosclerotic plaques, ...

Deep Learning-based Automated Coronary Plaque Quantification: First Demonstration With Ultra-high Resolution Photon-counting Detector CT at Different Temporal Resolutions.

OBJECTIVES: The aim of this study was to evaluate the feasibility and reproducibility of a novel deep learning (DL)-based coronary plaque quantificati...

Network pharmacology and machine learning reveal multi-target mechanisms of poly herbal formulation against atherosclerosis.

BACKGROUND: Herbs, like Allium sativum, Ginkgo biloba and Nerium oleander are traditional medicinal plants that have been used to treat atherosclerosi...

Phenotyping and biomarkers in cardiogenic shock.

PURPOSE OF REVIEW: Cardiogenic shock (CS) remains associated with high mortality despite advances in revascularization, pharmacological therapies and ...

The impact of lipoprotein(a) on coronary atherosclerotic plaque phenotype in primary prevention.

AIMS: Lipoprotein(a) (Lp[a]) is a causal risk factor for cardiovascular events. However, the effect of Lp(a) on coronary plaque composition and high-r...

Predicting Acute Myocardial Infarction in the Absence of Detectable Atherosclerotic Plaque With Perivascular Coronary Inflammation.

BACKGROUND: Coronary computed tomography angiography (CTA) with analysis by artificial intelligence (AI) can personalize coronary artery disease risk ...

A Novel Breast Arterial Calcification Age-Based Percentile Nomogram for the Incremental Prediction of Incidental Cardiovascular Events.

BACKGROUND: Breast arterial calcification (BAC) detected on routine mammography is an emerging marker of cardiovascular risk in women. However, substa...

Identification of Mitochondrial Signature Biomarkers and Molecular Mechanisms in Atherosclerotic Tissues and Blood: Combined Single-Cell and Bulk RNA Sequencing Analysis.

Atherosclerosis (AS) is a leading cause of cardiovascular disease and stroke. Although mitochondria's role in AS is recognized, effective molecular ta...

From local textures to global attention: a hybrid feature fusion network for skin lesion classification.

Accurate detection of skin cancer detection using RGB images remains a challenge due to multiple factors including variability in lesion appearance, d...

Three-dimensional oxygen maps of tumors in real time - Analysis in the context of active tumor vasculature.

BACKGROUND AND OBJECTIVE: Characterizing the tumor microenvironment (TME) requires integrating multiple physiological features, including oxygenation,...

Comparative Analysis of Artificial Intelligence-Based Quantification versus Visual Rating of Enlarged Perivascular Spaces in the Multi-Ethnic Study of Atherosclerosis Cohort.

BACKGROUND AND PURPOSE: Enlarged perivascular spaces (PVS) are fluid-filled spaces surrounding small cerebral vessels. Current PVS research has been l...