Streamlining Heart Disease Diagnosis in Clinical Workflows Using Digital Twins

  • Project Year: 2025-26
  • Departments Represented: MEng
  • Industry/Track: Health & Wellbeing

Heart disease is the leading cause of death in the US and worldwide. Cardi-V utilizes the open-source software SimVascular to develop patient-specific cardiac models that simulate the dynamic behavior of individual cardiovascular systems. Using clinical imaging data, we constructed patient-specific vascular models and implemented physiologically realistic boundary conditions. We then conducted both 0D and 3D computational fluid dynamics (CFD) simulations to evaluate pressure and flow dynamics within targeted vessels. Our goal is to provide personalized and clinically actionable diagnostics that improve disease prediction and ultimately contribute to reducing cardiovascular mortality.

  • Advisor(s): Shawn Shadden
  • Team: Pravishti Mathur (BioE), Vishal Narayanan (BioE), Riley Wang (BioE), Longmei Zhang (BioE), Alice Zhu (BioE)