Atherosclerosis

Computational discovery of HIF-1α/VHL protein-protein interaction inhibitors for hypoxic cell protection.

The HIF-1α/VHL protein-protein interaction regulates cellular hypoxic adaptation. Targeting this PPI offers therapeutic potential for ischemia, yet the structural diversity and direct cytoprotective applications of reported VHL ligands remain limited. Here, we developed a computational virtual-screening workflow informed by deep learning-based interface analysis. DDMut-PPI was used to nominate put...

Machine learning-based prediction model for predicting the impact of insulin resistance on the risk of ischemic cardiomyopathy.

BACKGROUND: The triglyceride-to-high-density lipoprotein cholesterol (TG/HDL-C) ratio and triglyceride glucose-body mass (TyG-BMI) index are reliable indicators of insulin resistance (IR). This study investigated their association with ischemic cardiomyopathy (ICM) and developed a machine learning-based model for ICM risk prediction. METHODS: In total, 1,603 subjects participated in this study. Un...

Ligustilide and tectoridin from Danggui Buxue Decoction synergistically attenuate atherosclerosis by targeting the CD36/TRPM2 axis and TNF-α/NF-κB pathway.

BACKGROUND: Atherosclerosis (AS) is a common chronic disease and the primary pathological basis for myocardial infarction, stroke, and other disabling...

Artificial Intelligence-Derived Carotid Elongation Ratio May Predict Procedural Delay but Offers Limited Prognostic Utility in Mechanical Thrombectomy.

BACKGROUND AND PURPOSE: Carotid artery tortuosity, quantified by the carotid elongation ratio (CER), may hinder mechanical thrombectomy (MT). We evalu...

Beyond plaque and stenosis: Coronary inflammation imaging with the fat attenuation index.

Pericoronary adipose tissue (PCAT) imaging has emerged as a promising noninvasive marker of coronary inflammation and an adjunctive risk-stratificatio...

A Validated, explainable machine learning-based preoperative risk model for microvascular invasion in hepatocellular carcinoma.

PURPOSE: This investigation aimed to develop and validate a diagnostic algorithm for preoperatively assessing the likelihood of microvascular invasion...

AI-based Framework for Automated Segmentation and Surgical Decision Support in Ascending Thoracic Aortic Aneurysm.

Accurate morphometric assessment of ascending thoracic aortic aneurysms (ATAA) from computed tomography angiography (CTA) is essential for individuali...

A 3D-Printed Microvascular Surgery Training Platform With High-Fidelity, Biomimetic Properties.

Current vascular grafts face limitations including inadequate mechanical strength, inability to replicate small and complex anatomical structures, eth...

Non-calcified plaque volume assessed by coronary computed tomographic angiography: prognostic significance, reproducibility, and temporal progression.

AIMS: Coronary artery disease remains the leading cause of cardiovascular mortality worldwide, with a substantial proportion of acute coronary events ...

Trends and hotspots in artificial intelligence applications for atherosclerosis research: A bibliometric analysis.

BACKGROUND: Atherosclerosis (AS) is a complex systemic, immune-inflammatory vascular disease, and there is an urgent need to innovate its diagnostic a...

Glycosylation-Associated Macrophage Signatures Define a Diagnostic Model for Diabetic Retinopathy via Single-Cell Analysis.

PURPOSE: Diabetic retinopathy (DR) remains a leading cause of vision loss, with macrophages and glycosylation dysregulation implicated in DR pathogene...

Beyond the Black Box: Is Artificial Intelligence Ready to Reshape Neurosurgical Decision-Making? A Narrative Review.

BACKGROUND AND AIMS: Artificial intelligence (AI) is increasingly being integrated into neurosurgical practice, offering capabilities in diagnostic im...

Artificial intelligence for risk prediction in atherosclerotic cardiovascular disease: A narrative review of advances, validation challenges, and clinical translation (2020-2026).

Since 2020, artificial intelligence (AI) has been increasingly applied to atherosclerotic cardiovascular disease (ASCVD) risk prediction. This structu...

Clinical significance of lncRNA-miRNA axes in ischemic stroke: Diagnostic value, prognostic relevance, and therapeutic potential.

Ischemic stroke and subsequent reperfusion injury are major causes of mortality and long-term neurological disability, driven by complex mechanisms of...

Identification of Aging and Mitochondria-Related Hub Genes in Dilated Cardiomyopathy.

Dilated cardiomyopathy (DCM) is characterized by left ventricular dilation and systolic dysfunction and is associated with mitochondrial dysfunction a...

AMR-VSF: an adaptive memory correction framework for robust 3D CT aorta segmentation.

PURPOSE: Accurate 3D aortic segmentation in CT images is vital for cardiovascular disease diagnosis, surgical planning, and intraoperative navigation....

Predictive, preventive, and personalized medicine in statin-treated patients with NSTE-ACS, HFpEF, and type 2 diabetes: a data-driven model for long-term residual risk assessment.

BACKGROUND: Despite significant advances in guideline-directed medical therapy (GDMT), statin-treated patients with non-ST-elevation acute coronary sy...

A Simplified Metric to Streamline Between-Group Fairness Assessment for Predictive Models: Algorithm Development and Evaluation Study.

BACKGROUND: Fairness evaluation is essential for trustworthy clinical risk prediction. However, existing fairness-oriented discrimination metrics eith...

Autonomous Vascular Access Devices: Current Solutions and Future Challenges.

INTRODUCTION: Central venous cannulation is essential for life-saving interventions including resuscitation of critically ill patients, hemodynamic mo...

Clinical outcome prediction of Contour Neurovascular System treatment based on pre-treatment geometric and hemodynamic characteristics.

PURPOSE: The contour neurovascular system (CNS) is increasingly used for endovascular treatment of intracranial aneurysms, but outcome and post-treatm...