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Cardiovascular diseases are the leading cause of mortality in the world, mainly due to atherosclerosis and its consequences. The article presents the numerical model of the blood flow through artificial aortic valve. The overset mesh approach was applied to simulate the valve leaflets motion and to realize the moving mesh, in the aortic arch and the main branches of cardiovascular system. To capture the cardiac system's response and the effect of vessel compliance on the outlet pressure, the lumped parameter model has been also included within the solution procedure. Three different turbulence modeling approaches were used and compared - the laminar, k-ϵ and k-ω model. The simulation results were also compared with the model excluding the moving valve geometry and the importance of the lumped parameter model for the outlet boundary condition was analyzed. Proposed numerical model and protocol was found as suitable for performing the virtual operations on the real patient vasculature geometry. The time-efficient turbulence model and overall solving procedure allows to support the clinicians in making decisions about the patient treatment and to predict the results of the future surgery.
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http://dx.doi.org/10.1016/j.compbiomed.2023.106805 | DOI Listing |
Gastric Cancer
September 2025
Department of Medical Oncology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Background: Immune checkpoint inhibitors (ICIs) play a pivotal role in the treatment of advanced gastric cancer (GC). However, the biomarkers used to predict ICI efficacy are limited due to their reliance on single or static tumor characteristics. This study aims to develop a machine learning (ML) model that incorporates dynamic changes in clinlabomics data to optimize the predictive accuracy of ICI efficacy.
View Article and Find Full Text PDFJ Am Coll Cardiol
August 2025
Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA; Department of Cardiology, Kaiser Permanente Santa Clara Medical Center, Santa Clara, California, USA. Electronic address:
Background: Accurate measurement of echocardiographic parameters is crucial for the diagnosis of cardiovascular disease and tracking of change over time; however, manual assessment requires time-consuming effort and can be imprecise. Artificial intelligence has the potential to reduce clinician burden by automating the time-intensive task of comprehensive measurement of echocardiographic parameters.
Objectives: The purpose of this study was to develop and validate open-sourced deep learning semantic segmentation models for the automated measurement of 18 anatomic and Doppler measurements in echocardiography.
Mol Ther
September 2025
Xi'an No. 1 Hospital, First Affiliated Hospital of Northwest University, School of Medicine, Xi'an, China; Key Laboratory of Resource Biology and Biotechnology of Western China, Ministry of Education; Provincial Key Laboratory of Biotechnology, College of Life Sciences, Northwest University, Xi'an,
N6-methyladenosine (mA) modification, primarily regulated by methyltransferase-like protein 3 (METTL3), plays a pivotal role in RNA metabolism and leukemogenesis. However, the post-translational mechanisms governing METTL3 stability and function remain incompletely understood. Given the widespread occurrence of O-GlcNAcylation on nuclear and cytosolic proteins, we hypothesized that METTL3 might undergo O-GlcNAcylation, thereby influencing its stability and oncogenic function in myeloid malignancies.
View Article and Find Full Text PDFJ Clin Ultrasound
September 2025
Hebei General Hospital, Shijiazhuang, China.
Background: Acute ischemic stroke (AIS) is characterized by high incidence, sudden onset, and often poor prognosis. Carotid atherosclerosis plays a crucial role in its pathogenesis, and ultrasound imaging offers a non-invasive method for evaluating carotid plaque characteristics. This study aimed to develop and validate a prediction model for AIS risk based on a novel ultrasound-based carotid plaque scoring system combined with clinical risk factors.
View Article and Find Full Text PDFCardiovasc Toxicol
September 2025
Department of Cardiac Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangdong Cardiovascular Institute, Guangzhou, 510100, Guangdong, China.
Myocardial infarction (MI), induced by ischemia and hypoxia of the coronary arteries, presents as myocardial necrosis. Patients often experience intense, prolonged retrosternal pain that is unrelieved by rest or nitrate therapy and is frequently associated with high blood myocardial enzyme levels. Physical effort may exacerbate this anxiety, increasing the likelihood of life-threatening consequences such as arrhythmias, shock, or cardiac failure.
View Article and Find Full Text PDF