Personalized treatment, which tailors healthcare decisions to each individual, has the potential to improve treatment efficacy. By considering patient-specific information, such as medical images, in our lab, we aim to create more efficient and effective methods for treating cardiovascular diseases. Our numerical simulations are a crucial part of this effort, providing insights into the best approach for each individual patient.

Objective

Develop personalized treatments for cardiovascular diseases based on patient-specific numerical models

Skillsets

• Finite element modeling
• Computational fluids dynamic modeling
• Signal and image processing

Researchers

Current members involved

Past members involved