AIMC Topic: Atherosclerosis
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Identification of novel biomarkers for atherosclerosis using single-cell RNA sequencing and machine learning.
Mammalian genome : official journal of the International Mammalian Genome Society
Oct 14, 2024
Atherosclerosis (AS) is a predominant etiological factor in numerous cardiovascular diseases, with its associated complications such as myocardial infarction and stroke serving as major contributors to worldwide mortality rates. Here, we devised depe...
Identification of key biomarkers for predicting atherosclerosis progression in polycystic ovary syndrome via bioinformatics analysis and machine learning.
Computers in biology and medicine
Oct 12, 2024
OBJECTIVE: Polycystic ovary syndrome (PCOS) is one of the most significant cardiovascular risk factors, playing vital roles in various cardiovascular diseases such as atherosclerosis (AS). This study attempted to explore key biomarkers for predicting...
Determination of spectroscopy marker of atherosclerotic carotid stenosis using FTIR-ATR combined with machine learning and chemometrics analyses.
Nanomedicine : nanotechnology, biology, and medicine
Sep 26, 2024
Atherosclerotic carotid stenosis (ACS) is a recognized risk factor for ischemic stroke. Currently, the gold diagnostic standard is Doppler ultrasound, the results of which do not provide certainty whether a given person should be qualified for surger...
Automated diagnosis of atherosclerosis using multi-layer ensemble models and bio-inspired optimization in intravascular ultrasound imaging.
Medical & biological engineering & computing
Sep 18, 2024
Atherosclerosis causes heart disease by forming plaques in arterial walls. IVUS imaging provides a high-resolution cross-sectional view of coronary arteries and plaque morphology. Healthcare professionals diagnose and quantify atherosclerosis physica...
A Scoping Review of Machine-Learning Derived Radiomic Analysis of CT and PET Imaging to Investigate Atherosclerotic Cardiovascular Disease.
Tomography (Ann Arbor, Mich.)
Sep 3, 2024
BACKGROUND: Cardiovascular disease affects the carotid arteries, coronary arteries, aorta and the peripheral arteries. Radiomics involves the extraction of quantitative data from imaging features that are imperceptible to the eye. Radiomics analysis ...
Mechanisms of QingRe HuoXue Formula in atherosclerosis Treatment: An integrated approach using Bioinformatics, Machine Learning, and experimental validation.
International immunopharmacology
Aug 12, 2024
BACKGROUND: Atherosclerosis (AS) is the main cause of coronary heart disease, cerebral infarction, and peripheral vascular disease. QingRe HuoXue Formula (QRHXF), a common prescription of traditional Chinese medicine, has a definite effect on the cli...
Artificial Intelligence and Health Inequities in Dietary Interventions on Atherosclerosis: A Narrative Review.
Nutrients
Aug 7, 2024
Poor diet is the top modifiable mortality risk factor globally, accounting for 11 million deaths annually with half being from diet-linked atherosclerotic cardiovascular disease (ASCVD). Yet, most of the world cannot afford a healthy diet-as the hidd...
Integrating machine learning algorithms and single-cell analysis to identify gut microbiota-related macrophage biomarkers in atherosclerotic plaques.
Frontiers in cellular and infection microbiology
Apr 23, 2024
OBJECTIVE: The relationship between macrophages and the gut microbiota in patients with atherosclerosis remains poorly defined, and effective biological markers are lacking. This study aims to elucidate the interplay between gut microbial communities...
Antigens, Differentiation, Myelomonocytic
Single-Cell Analysis
CD68 Molecule
Macrophages
Humans
Antigens, CD
Interferon Regulatory Factors
Plaque, Atherosclerotic
Gene Regulatory Networks
Biomarkers
Machine Learning
Receptors, CCR1
Gastrointestinal Microbiome
Agammaglobulinaemia Tyrosine Kinase
Gene Expression Profiling
Atherosclerosis
Algorithms
Deep Learning to Estimate Cardiovascular Risk From Chest Radiographs : A Risk Prediction Study.
Annals of internal medicine
Mar 26, 2024
BACKGROUND: Guidelines for primary prevention of atherosclerotic cardiovascular disease (ASCVD) recommend a risk calculator (ASCVD risk score) to estimate 10-year risk for major adverse cardiovascular events (MACE). Because the necessary inputs are o...
Incorporating longitudinal history of risk factors into atherosclerotic cardiovascular disease risk prediction using deep learning.
Scientific reports
Jan 31, 2024
It is increasingly clear that longitudinal risk factor levels and trajectories are related to risk for atherosclerotic cardiovascular disease (ASCVD) above and beyond single measures. Currently used in clinical care, the Pooled Cohort Equations (PCE)...
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