Computational Modelling and Artificial Intelligence in Biomedical Fluid Mechanics
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E: Applied Mathematics".
Deadline for manuscript submissions: 31 August 2025 | Viewed by 162
Special Issue Editor
Interests: system and control modelling; applied computational modelling; thermal analysis; biomedical applications; aortic dissection; applied computational modelling and phase change material; machine learning for forecasting and predicting particulate matter
Special Issue Information
Dear Colleagues,
Cardiovascular diseases (CVDs) are a leading cause of death in many countries. Computational modelling in biomedical fluid mechanics research enables a better understanding of the progression of CVDs and the specific markers that may indicate these diseases in patients. Computational methods have been employed across two decades, but recent developments in Artificial Intelligence (AI) and machine learning may significantly enhance the use and predictive power of these computational methods.
This Special Issue welcomes articles dealing with the development of patient-specific models for CVD, computational fluid dynamics modelling of CVDs, machine learning techniques for the identification of specific markers and hidden variables that are early indicators of disease development, and integrative approaches that use patient data from imaging (e.g., CT scanning and MRI) and simulation outputs to support clinicians’ diagnosis and surgical intervention decision making.
Dr. Mohammad Al-Rawi
Guest Editor
Manuscript Submission Information
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Keywords
- meshing
- computational fluid dynamics
- fluid–structure interaction
- neural network (NN)
- physics-informed neural network (PINN)
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