Atherosclerosis

Neuroprotective Effects of Shrimp Oil Against Oxidative Stress in Chronic Cerebral Hypoperfusion Rats.

Shrimp oil is rich in polyunsaturated fatty acids and astaxanthin, which possesses high antioxidant activity. This study aimed to investigate the impact of shrimp oil on protection of brain damage and improvement of neurological outcomes after chronic cerebral hypoperfusion (CCH). Male Wistar rats were subjected to occlusion of the bilateral common carotid arteries and were divided into six groups...

Advances in the application of 18F-sodium fluoride PET in the assessment of atherosclerosis.

Atherosclerosis serves as the primary cause of cardiovascular diseases (CVDs), with its pathological processes encompassing lipid deposition, inflammatory responses, and calcification. Traditional imaging techniques, such as computed tomography angiography and MRI, are primarily utilized for detecting arterial stenosis and calcified plaques, yet they face challenges in accurately assessing plaque ...

Leafing a mark on immunity: Quercetin-3-O-D-glucopyranoside and quercetin-3-O-(2″,6″-digalloyl)-β-D-galactopyranoside-rich Melia azedarach L. extract's immunoinflammatory effects on an sRBC-immunized BALB/c model.

Melia azedarach L. (Meliaceae) (MA) leaves are traditionally used for inflammatory disorders, yet their immunomodulatory effects on lymphocytes remain...

Mechanisms and Applications of Apolipoproteins and Apolipoprotein Mimetic Peptides: Common Pathways in Cardiovascular Disease and Cancer.

Apolipoproteins are the defining functional component of lipoproteins and play critical roles in lipid transport and metabolism. High-density lipoprot...

Impact of the recent advances in coronary artery disease imaging on pilot medical certification and aviation safety: current state and future perspective.

Coronary artery disease (CAD) is highly prevalent among pilots due to the nature of their lifestyle, and occupational stresses. CAD is one the most co...

Invited Article: Al guided Dual Antiplatelet Therapy and Anticoagulation.

Artificial intelligence (AI) has emerged as a transformative tool in healthcare through data analysis, pattern recognition and predictive modeling cap...

PMMNet: A Dual Branch Fusion Network of Point Cloud and Multi-View for Intracranial Aneurysm Classification and Segmentation.

Intracranial aneurysm (IA) is a vascular disease of the brain arteries caused by pathological vascular dilation, which can result in subarachnoid hemo...

Machine learning-based optimization of cytotoxicity testing for assessing Zn-based biodegradable metals.

Zinc (Zn)-based biodegradable metals are emerging as promising candidates for biomedical implants. Nonetheless, discrepancies between and biocompati...

A systematic review on deep learning-enabled coronary CT angiography for plaque and stenosis quantification and cardiac risk prediction.

BACKGROUND: Coronary artery disease (CAD) is a major worldwide health concern, contributing significantly to the global burden of cardiovascular disea...

A digital photography dataset for Vaccinia Virus plaque quantification using Deep Learning.

Virological plaque assay is the major method of detecting and quantifying infectious viruses in research and diagnostic samples. Furthermore, viral pl...

Retinal Ischemic Perivascular Lesions (RIPLs) as Potential Biomarkers for Systemic Vascular Diseases: A Narrative Review of the Literature.

Retinal ischemic perivascular lesions (RIPLs) are characteristic focal thinning of the inner nuclear layer, with an upward expansion of the outer nucl...

Application and optimization of the U-Net++ model for cerebral artery segmentation based on computed tomographic angiography images.

Accurate segmentation of cerebral arteries on computed tomography angiography (CTA) images is essential for the diagnosis and management of cerebrovas...

Predicting outcomes following open abdominal aortic aneurysm repair using machine learning.

Patients undergoing open surgical repair of abdominal aortic aneurysm (AAA) have a high risk of post-operative complications. However, there are no wi...

Identification of immune-related biomarkers and immune infiltrations of intracranial aneurysm with subarachnoid hemorrhage by machine-learning strategies.

Background: Subarachnoid hemorrhage (SAH) risk increases with intracranial aneurysms (IA), but their relationship remains unclear. Methods: We explore...

Mechanism Exploration of Dietary Supplement Astaxanthin on Improving Atherosclerosis through an Integrated Strategy Encompassing Artificial Intelligence Virtual Screening and Experimental Validation.

Atherosclerosis (AS) is a major and common pathological basis of ischemic intestinal infarction, myocardial infarction, stroke, renal failure, and oth...

Prediction of Reactivation After Antivascular Endothelial Growth Factor Monotherapy for Retinopathy of Prematurity: Multimodal Machine Learning Model Study.

BACKGROUND: Retinopathy of prematurity (ROP) is the leading preventable cause of childhood blindness. A timely intravitreal injection of antivascular ...

AI-based phenotyping of hepatic fiber morphology to inform molecular alterations in metabolic dysfunction-associated steatotic liver disease.

BACKGROUND AND AIMS: Hepatic fiber morphology may significantly enhance our understanding of molecular alterations in metabolic dysfunction-associated...

Plaque burden improves the detection of ischemic CAD over stenosis from coronary computed tomography angiography.

In symptomatic patients undergoing coronary CTA for suspected coronary artery disease (CAD), we assessed if quantification of plaque burden, in additi...

MM-UKAN++: A Novel Kolmogorov-Arnold Network-Based U-Shaped Network for Ultrasound Image Segmentation.

Ultrasound (US) imaging is an important and commonly used medical imaging modality. Accurate and fast automatic segmentation of regions of interest (R...

Transfer learning of multicellular organization via single-cell and spatial transcriptomics.

Biological tissues exhibit complex gene expression and multicellular patterns that are valuable to dissect. Single-cell RNA sequencing (scRNA-seq) pro...