Atherosclerosis

Association between the platelet to white blood cell ratio and short term mortality in critically ill patients with atherosclerotic cardiovascular disease: A retrospective study and machine learning with external validation.

BACKGROUND: The platelet to white blood cell ratio (PWR) has shown prognostic value in many diseases...

Acute kidney injury: Detection, risk stratification, and predictive biomarkers.

BACKGROUND: Acute kidney injury (AKI) is a complex multifactorial syndrome characterized by a rapid ...

Risk stratification using inflammatory and metabolic biomarkers: A multi-cohort predictive study of mortality in atherosclerotic cardiovascular disease.

BACKGROUND: The pathological process of atherosclerotic cardiovascular disease (ASCVD) involves comp...

Multicellular, Biochemical, and Perfusion Effects on Vessel Network Morphogenesis in a Microfluidic Vasculature-on-a-Chip.

Microvascular networks (MVNs) formed via endothelial cell self-assembly in 3D hydrogels have emerged...

Design and rationale of the WARRIOR ancillary study for coronary CT angiographic analysis.

BACKGROUND: Over 50% of women evaluated for suspected ischemia have no obstructive coronary artery d...

The role of artificial intelligence in estimating stroke events in Moyamoya patients: A systematic review and meta-analysis of diagnostic test accuracy.

INTRODUCTION: Moyamoya disease (MMD) and syndrome (MMS) are rare cerebrovascular arteriopathies mark...

Coronary artery segmentation in non-contrast calcium scoring CT images using deep learning.

Precise localization of coronary arteries in Computed Tomography (CT) scans is critical from the per...

Inaccurate information regarding cardiovascular disease prevention enabled by generative artificial intelligence.

Inaccurate information regarding cardiovascular disease (CVD) prevention is prevalent on the interne...

Machine Learning-Enhanced Hyperspectral Raman Imaging for Label-Free Molecular Atlas of Alzheimer's Brain.

Label-free molecular imaging that enables the construction of a molecular atlas of biological tissue...

Exosome-related lactylation gene signature defines diagnostic biomarkers of periodontitis through integrative bulk and single-cell transcriptomics.

BACKGROUND: Exosomes and lactylation modification have been increasingly recognized as key regulator...

RFDNet: Robust Frequency-Based Denoising Network for 3D Ultrasound Vascular Imaging Using a Row-Column Addressed Array.

Three-dimensional (3D) ultrasound vascular imaging (UVI) is essential for visualizing complex vascul...

Sustainable MXene-based wearable sensor reinforced with microcrystalline cellulose for human motion monitoring in subzero environments with integrated machine learning.

Flexible sensors encounter significant challenges in subzero temperatures, including mechanical frag...

Use of artificial intelligence-assisted measurement of aortic diameter in clinical decision making about abdominal aortic aneurysm repair.

OBJECTIVES: Decisions to perform abdominal aortic aneurysm (AAA) repair are dependent on aneurysm si...

Development and validation of a machine learning model to predict functional outcomes in patients with recent small subcortical infarction.

OBJECTIVE: A substantial proportion of patients (12 %-25 %) with recent small subcortical infarction...

Artificial Intelligence and Machine Learning for Evaluation of Abdominal Aortic Aneurysm Rupture Risk.

Comparison of Different Machine Learning Methods in Prediction of Long-Term Survival After Endovascular Aneurysm Repair.

PurposeLong-term survival after endovascular aneurysm repair (EVAR) for abdominal aortic aneurysm re...

Protector role of muscle quality against diabetes in non-elderly U.S. adults.

BACKGROUND: Since 1980, the number of people with diabetes has doubled globally, a figure expected t...

Combining network pharmacology, machine learning, molecular docking, molecular simulation dynamics and experimental validation to explore the mechanism of Zhenwu decoction in treating major depression through TNF-α pathways.

BACKGROUND: Major depressive disorder (MDD) is a severe psychophysiological condition characterized ...

Deep Learning-Based Denoising for High-Resolution Carotid Vessel Wall MRI Using Standard Neurovascular Coils.

PURPOSE: To develop a deep learning (DL) denoising method to enhance high-resolution carotid vessel ...

Exploring Patients' Profiles Associated With the Resolution of Acute Calcium Pyrophosphate Arthritis Treated With Colchicine and Prednisone: Post Hoc Analysis of a Randomized Controlled Trial.

OBJECTIVE: The objective was to identify factors determining acute arthritis resolution and safety w...

Targeting High-Risk Populations for Abdominal Aortic Aneurysm Screening: A Sex-Stratified Analysis in an Ethnicity Diverse Cohort Incorporating Machine Learning Tools.

BACKGROUND: Abdominal aortic aneurysm (AAA) is usually asymptomatic, but rupture carries up to 90% m...