Energy Research Group
What We Do
The aim of the project: To develop an intelligent breast cancer diagnosis system. The works proposed include
- Noninvasive Stenosis Diagnosis
- Overcomes limitations of invasive techniques like coronary angiography.
- Reduces costs associated with traditional diagnostic methods.
- Mitigates risks linked to invasive procedures for patients.
- 2.Tailored Outflow Boundary Conditions
- Provides precise outflow boundary conditions for stenosis diagnosis.
- Novel use of 1D PINN for initial conditions, enhancing diagnostic accuracy.
- Utilizes physiology and physics, reducing dependency on extensive data.
- 3.Conceptual Model-Proof Stage
- Minimizes reliance on extensive datasets for model verification.
- Grounded in physiological principles, ensuring realistic simulations.
- IREC approval was obtained for patient data collection and ethical considerations.
- Physics Informed Neural Network (PINN) for 3D transient hemodynamic simulation in cardiovascular system
