Atherosclerosis

Machine learning-based discrimination of metabolic dysfunction-associated steatotic liver disease: implications of tryptophan metabolites as potential biomarkers.

OBJECTIVES: Early screening of individuals at high risk of metabolic dysfunction-associated steatoti...

Diagnosis of familial hypercholesterolaemia through population screening.

INTRODUCTION: Familial hypercholesterolemia (FH) is an autosomal dominant disorder characterized by ...

A validated deep learning workflow for 3D quantification of amyloid plaques in cleared mouse brain.

Accurate quantification of amyloid plaque pathology is essential for understanding Alzheimer's disea...

Equation Disagreement as a Zero-Cost Uncertainty Signal for LDL-C Classification: An Interpretable Regime-Aware Calibration Model Rescues Misclassification at Treatment Thresholds.

BACKGROUND: Three LDL cholesterol (LDL-C) estimation equations (Friedewald, Sampson/NIH, and Martin-...

BMAL1 in cardiovascular diseases: Molecular mechanisms, circadian regulation and translational perspectives (Review).

Brain and muscle ARNT‑like 1 (BMAL1) is a core transcription factor of the molecular circadian clock...

Metals and metalloids signatures in early pregnancy suggest cadmium and arsenic as major mixture components associated with gestational diabetes mellitus risk.

Pregnancy is a vulnerable window for environmental pollutant exposure, yet the contribution of metal...

Single-Cell and Bulk RNA-Seq Profiling Identifies Cell Adhesion-Related Gene Signatures in Cerebral Ischemia-Reperfusion Injury.

Cerebral ischemia-reperfusion injury (CIRI) involves complex secondary damage mechanisms, including ...

Integrative computational analysis of public fecal lipidomics and transcriptomics datasets suggests a candidate association between the COX-2 pathway and CE(20:4) in colorectal adenoma-carcinoma progression.

BACKGROUND: The fecal lipidomic changes underlying the colorectal adenoma-carcinoma sequence remain ...

Associations of Brain Structure and Neuropsychological Function With Artificial Intelligence Estimates of Biological Vascular Age.

BACKGROUND: Accelerated vascular aging, assessed as artificial intelligence-based vascular age (AIVA...

Cost-Effectiveness and Clinical Utility of a Retinal Cardiovascular AI-Guided Strategy for Statin Initiation: A South Korean Multicenter Prospective Study.

OBJECTIVES: To evaluate the clinical utility and long-term cost-effectiveness of artificial intellig...

Joint effect of triglyceride-glucose index and low-density lipoprotein cholesterol on mortality and days alive out of hospital in acute stroke: a multi-center machine learning-based cohort study.

OBJECTIVE: The lipid paradox suggests low LDL-C is paradoxically associated with poor outcomes, yet ...

Identification of ion homeostasis-related genes as diagnostic biomarkers for pulmonary arterial hypertension via WGCNA and machine learning.

BACKGROUND: Pulmonary arterial hypertension (PAH) is a severe cardiovascular disease, with early dia...

Proteomic machine-learning signatures associated with carotid plaque: A population-based hypothesis-generating study.

Carotid plaque (CP) is a surrogate marker of cardiovascular disease, and high-risk morphology signif...

Artificial Intelligence-Derived Volumetric High-Risk Plaque Features Are Predominantly Located Proximal to Maximal Luminal Stenosis.

Photoplethysmographic Signal Analysis for Vascular Ageing Assessment.

Vascular ageing (VA) is an age-related process characterised by vessel stiffening and altered endoth...

Whole-Body MRI in Asymptomatic Individuals: Promise and Perils-AJR Expert Panel Review.

This AJR Expert Panel Narrative Review examines current and emerging applications of whole-body MRI ...

Artificial Intelligence for Endovascular Aortic Aneurysm Repair Surveillance: What Does the Existing Evidence Tell Us?

Shared pathogenic genes and therapeutic targets in periodontitis and systemic juvenile idiopathic arthritis: An integrative bioinformatics and machine learning study.

Periodontitis (PD) and systemic juvenile idiopathic arthritis (sJIA) are chronic inflammatory diseas...

Radial wall strain for residual risk stratification after percutaneous coronary intervention.

BACKGROUND: Percutaneous coronary intervention effectively treats flow-limiting stenoses; however, u...

Application of Machine Learning to Predict 1-Year Weight Loss Outcomes After Laparoscopic Sleeve Gastrectomy.

BACKGROUND: Laparoscopic sleeve gastrectomy (LSG) is an effective treatment for obesity. This study ...

Development and Validation of an Interpretable Machine Learning Model to Predict Mortality in Patients With Sepsis-Induced Coagulopathy: Multicenter Cohort Study.

BACKGROUND: Sepsis-induced coagulopathy (SIC) is a common and severe complication in patients with s...