Peripheral Artery Disease

Percutaneous coronary intervention in high bleeding risk patients: a review of contemporary management strategies.

INTRODUCTION: High bleeding risk (HBR) affects over one-third of patients undergoing percutaneous coronary intervention (PCI) and is associated with elevated mortality due to both hemorrhagic and ischemic complications. Optimizing management of these patients remains a critical challenge in contemporary interventional cardiology. AREAS COVERED: This review summarizes advances in bleeding risk asse...

Identification of hub targets involved in carotid atherosclerosis through bioinformatics and machine learning approaches.

Elucidating the mechanism of plasticizers associated with atherosclerosis through network toxicology, bulk RNA sequencing, and single-cell RNA sequencing analysis.

PURPOSE: This study aims to screen and identify potential atherosclerosis (AS) biomarkers associated with common plasticizer exposure, providing a bas...

Development and Validation of a Machine Learning Model for Incident Heart Failure Prediction in Chronic Kidney Disease: A Multicenter Cohort Study.

BACKGROUND: Chronic kidney disease (CKD) and heart failure (HF) share pathophysiological mechanisms, rendering HF one of the most burdensome cardiovas...

Towards real-time sleep stage classification: A deep learning approach leveraging PPG and ECG.

OBJECTIVE: This work aims to enable adaptive Consumer Sleep Technologies (CSTs) for sleep intervention by developing a deep learning model for sleep s...

An open B-mode ultrasound database for deep learning-based atherosclerotic plaque segmentation.

Cardiovascular events, predominantly ischemic, account for approximately 32% of global mortality and are expected to increase approximately 30% by 203...

Artificial Intelligence-Driven Electrocardiogram Screening for Asymptomatic Left Ventricular Systolic Dysfunction in the General Population.

BACKGROUND: Asymptomatic left ventricular systolic dysfunction (LVSD) is a well-established precursor of overt heart failure (HF), yet it often remain...

Single-cell sequencing combined with transcriptome sequencing to reveal the molecular mechanisms related to integrated stress responses in atherosclerosis.

Illuminating the Invisible: Translational Molecular Imaging in Cardiovascular Medicine.

Cardiovascular disease remains the predominant cause of global morbidity and mortality, with recent epidemiological trends indicating a resurgence in ...

Association of the estimated glucose disposal rate combined with a body shape index with all-cause and cardiovascular-specific mortality among individuals with cardiovascular-kidney-metabolic syndrome.

BACKGROUND: Individuals with cardiovascular-kidney-metabolic (CKM) syndrome exhibit a substantially elevated risk of all-cause and cardiovascular-spec...

The Microbial Mechanisms of Cardiovascular Disease: Oral Dysbiosis as a Systemic Instigator.

Oral dysbiosis, particularly through periodontal disease, links strongly to cardiovascular risks by driving chronic inflammation and microbial translo...

Multi-omics investigation of benzo[a]pyrene in gastric cancer: comprehensive network toxicology, machine learning and molecular docking approaches.

Gastric cancer (GC) risk is shaped by environmental exposures such as benzo[a]pyrene (BaP). Here, we systematically identified BaP-toxicological targe...

Machine learning and free energy clustering reveal PAH protein binding linked to AD risk.

This study develops a computational framework integrating bioinformatics, machine learning, and ΔG clustering to prioritize polycyclic aromatic hydroc...

Guiding Preventive Care Strategies for Patients With Atherosclerotic Plaque on Coronary CTA: Primary Outcomes of the DECIDE Registry.

BACKGROUND: Artificial intelligence-enabled coronary plaque analysis (AI-CPA) has been shown to improve cardiovascular risk prediction. However, littl...

Comprehensive Analysis of Bulk RNA-seq, Machine Learning, Mendelian Randomization, and Single-Cell Sequencing Unravels SLC22A3 as a Solute Carrier Superfamily-Associated Biomarker in Atherosclerosis.

Growing evidence implicates solute carrier (SLC) superfamily in atherosclerosis (AS) pathogenesis. This study identified SLC22A3 as a novel AS biomark...

Real-Time Peripheral Revascularization Planning in Chronic Limb Threatening Ischemia Using HarVI: A Digital Twin Approach.

BACKGROUND: Peripheral artery disease (PAD) is a leading cause of limb loss and morbidity worldwide, with chronic limb-threatening ischemia (CLTI) rep...

Comprehensive evaluation of triglyceride glucose index-a body shape index (TyG-ABSI) for incident peripheral artery disease: data-driven phenotyping and machine learning-based risk prediction in the UK Biobank.

BACKGROUND: The prevalence of Peripheral Artery Disease (PAD) is rising globally, yet early risk stratification remains challenging due to the limitat...

Exploring the therapeutic potential of Radix Puerariae isoflavonoids against atherosclerosis through integrative network pharmacology and machine learning.

Atherosclerosis (AS) is a chronic inflammatory disease of the vascular wall driven by a complex interplay between dysregulated immune responses and li...

Handwriting to Digital Text Translation Using a Self-Powered Triboelectricity-Induced Piezoelectric Writing Pad through a Deep Learning Algorithm.

Human-machine interfaces require energy generation, communication, and computing power to complete the assigned tasks. Here, we introduce a triboelect...

Artificial Intelligence and Machine Learning Applications in Fibromuscular Dysplasia: Transforming Diagnosis, Risk Stratification, and Clinical Decision-Making.

Fibromuscular dysplasia (FMD) is a non-atherosclerotic vascular disorder with heterogeneous presentations, making diagnosis and management highly depe...