Atherosclerosis

Radiomics-Based Classification of Pathological Patterns in Common Carotid Artery Wall.

OBJECTIVES: Abnormal echogenic patterns such as the triple signal pattern can be identified in the common carotid artery (CCA) using ultrasound. These patterns have been associated not only with fibromuscular dysplasia but also with primary hypertension and cardiovascular risk factors, suggesting their potential as markers of vascular aging. Typically identified through visual inspection, their de...

Using machine learning algorithms to predict MACE in peritoneal dialysis patients.

The study aimed to predict the risks of Major adverse cardiac events (MACE) in patients undergoing peritoneal dialysis (PD) with machine learning (ML) algorithm. In addition, we added the time factor and predicted the risk factors for MACE during the 1-year and 5-year follow-up. This retrospective study included 1006 PD patients from January 2010 to December 2016. XGBoost, Random Forest (RF) and A...

A Segatella Copri-centered Gut Microbiota-mediated Metabolic Dysregulation Associated with Transition from Asymptomatic to Symptomatic Intracranial Atherosclerosis.

The mechanisms underlying the continuum from asymptomatic intracranial atherosclerotic stenosis (aICAS) to symptomatic intracranial large-artery ather...

Endothelial cells recruit pro-inflammatory macrophage clusters via app-Cd74 exacerbating ICI-associated myocarditis.

Immune checkpoint inhibitor-related myocarditis (ICI-myocarditis) is a rare but highly threatening adverse reaction, and its pathogenesis is still unc...

Innovations In Artificial Intelligence-Guided Atherosclerosis Cardiovascular Imaging: From Detection to Prognosis.

High-density lipoprotein-related inflammatory ratios and coronary heart disease: A cross-sectional machine learning analysis of NHANES 2009 to 2020.

High-density lipoprotein (HDL)-related inflammatory ratios (monocyte-to-HDL cholesterol ratio [MHR], lymphocyte-to-HDL cholesterol ratio, neutrophil-t...

AI-derived left-to-right cardiac chamber volume ratios in coronary artery calcium scans strongly predict heart failure.

AIMS: The AI-CVD initiative seeks to extract actionable insights from coronary artery calcium (CAC) scans beyond the traditional CAC score. We previou...

Beyond Percutaneous Coronary Intervention - Targeted Molecular Therapies for the Next Era of Coronary Care.

Coronary artery disease (CAD) remains the leading global cause of cardiovascular morbidity and mortality, driven by dysregulated lipid metabolism, chr...

Lessons learned from bat and rodent reservoir hosts of zoonotic viruses.

Zoonotic virus emergence is a continued threat to global health, though more than two-thirds originate in wildlife. Within natural reservoirs, bats an...

Machine Learning Models Used to Predict Abdominal Aortic Aneurysm Growth and Rupture: A Systematic Review and Critical Appraisal.

BACKGROUND: Abdominal aortic aneurysm (AAA) rupture remains a major cause of mortality, and diameter-based surveillance is an imperfect predictor of r...

Immune gene MMP9 as a potential key mediator in TCDD exposure-associated atherosclerosis: An integrated study based on network toxicology and experimental validation.

BACKGROUND: 2,3,7,8-Tetrachlorodibenzo-p-dioxin (TCDD) is a highly toxic, recalcitrant persistent organic pollutant with ubiquitous environmental dist...

Perfusion-derived cerebral CT angiography with artificial intelligence iterative reconstruction as a replacement for routine cerebral CT angiography in acute ischemic stroke.

OBJECTIVES: To investigate the feasibility of replacing routine cerebral CT angiography (CTA) with CT perfusion (CTP)-derived cerebral CTA by using ar...

Cardiovascular outcomes and subclinical atherosclerosis in metabolic-associated steatotic liver disease: long-term follow-up from a specialized outpatient cohort.

BACKGROUND AND AIMS: Cardiovascular disease is the main cause of mortality in metabolic-associated steatotic liver disease (MASLD). This study evaluat...

Explainable machine learning for long-term cardiovascular disease risk prediction in Chinese middle-aged and older adults: a 9-year longitudinal cohort study with web-based risk calculator.

Cardiovascular disease represents the leading cause of mortality in China, accounting for over 40% of all deaths. Existing risk prediction models pred...

Tumor vessel phenotype in colorectal cancer microenvironment according to age at diagnosis.

BACKGROUND: Given the global issue of the rising incidence of early-onset colorectal cancer (CRC), we tested the hypothesis that tumor vasculature phe...

Interpretable machine learning analysis of routine blood biomarkers and derived indicators for predicting coronary heart disease in patients with carotid stenosis.

When Plaque Helps Us DECIDE.

Multi-omics integration reveals ANXA6-high γδ T cell-endothelial communication as a potential link between periodontitis and MASLD.

Periodontitis (PD) and metabolic dysfunction-associated steatotic liver disease (MASLD) were highly prevalent inflammatory disorders that frequently c...

Application of machine learning algorithms to predict and assess factors related to internal carotid siphon aneurysm occlusion treated with flow diversion.

Ameliorative effect of Rhus verniciflua Stokes on high-fat diet-induced obesity and advanced analysis with machine learning and deep learning-based network pharmacology.

AIMS: Obesity and metabolic dysfunction-associated steatotic liver disease (MASLD) arise from impaired redox and energy homeostasis, yet current thera...