Cardiovascular

Atherosclerosis

Latest AI and machine learning research in atherosclerosis for healthcare professionals.

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A hybrid approach to heart disease prediction using a fractional-order mathematical model and machine learning algorithm.

Heart disease remains one of the leading causes of morbidity and mortality worldwide, necessitating ...

Identification of potent inhibitors of potential VEGFR2: a graph neural network-based virtual screening and study.

VEGFR2 is a transmembrane tyrosine kinase receptor expressed on vascular endothelial cells and is cl...

Automatic Multi-Task Segmentation and Vulnerability Assessment of Carotid Plaque on Contrast-Enhanced Ultrasound Images and Videos via Deep Learning.

Intraplaque neovascularization (IPN) within carotid plaque is a crucial indicator of plaque vulnerab...

Delving into Generalizable Label Distribution Learning.

Owing to the excellent capability in dealing with label ambiguity, Label Distribution Learning (LDL)...

Effects of vascular endothelial cells on the neurite outgrowth of nerve cells.

The vascular and neuronal networks are structurally complex and highly branched. These networks play...

Can we identify individuals at risk to develop multiple myeloma? A machine learning-based predictive model.

Multiple myeloma evolves unnoticed over years, and when diagnosed, organ damage is common. Electroni...

Deciphering the transcriptomic characteristic of lactate metabolism and the immune infiltration landscape in abdominal aortic aneurysm.

BACKGROUND: Abdominal aortic aneurysm (AAA) is a common degenerative vascular disease characterized ...

Type 2 Diabetes Mellitus Remission, Dream or Reality? A Narrative Review of Current Evidence and Integrated Care Strategies.

Type 2 diabetes mellitus (T2DM) is a global health priority, with an estimated 629 million people pr...

The Role of AI-driven Volumetric Aneurysm Analysis in the Management of Cerebral Aneurysms.

This article looks at the current state of aneurysm risk modeling, exploring the limitations of line...

Early diagnosis of acute myocardial infarction via hub genes identified by integrated weighted gene co-expression network analysis.

BACKGROUND: Acute myocardial infarction (AMI) is a leading cause of morbidity and mortality worldwid...

Artery fragment guided approach for enhancing cerebral aneurysm detection in TOF-MRA imaging.

BACKGROUND: Cerebral aneurysms are a type of cerebrovascular disease that poses a severe threat to l...

A plaque recognition algorithm for coronary OCT images by Dense Atrous Convolution and attention mechanism.

Currently, plaque segmentation in Optical Coherence Tomography (OCT) images of coronary arteries is ...

Role of tight junctions in three-dimensional mechanical model of blood-brain barrier.

The increasing prevalence of central nervous system (CNS) disorders has imposed a significant social...

Identification of macrophage-associated diagnostic biomarkers and molecular subtypes in gestational diabetes mellitus based on machine learning.

Gestational diabetes mellitus (GDM) is a common metabolic disorder during pregnancy, involving multi...

Leveraging pulse wave signal properties for coronary artery calcification screening in CKD patients.

BACKGROUND AND AIMS: Chronic kidney disease (CKD) patients are particularly susceptible to coronary ...

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