Fluid mechanics plays a crucial role in many physiological processes on health and disease. Given recent advances in medical imaging, computational power, and mathematical algorithms, real-time patient-specific computational fluid dynamics is now becoming possible. This project will develop a versatile and massively parallel computational framework for studying biological particles in subject-specific geometries. The numerical framework will be designed to simulate a large number of particles within the human body, from deformable red blood cells within arteries to better understand stroke, to rigid calcite particles in the ear canal responsible for vertigo. This work began in 2021 as a Catalyst Grant through the Michigan Institute for Computational Discovery and Engineering (MICDE).
Funding: $30K (2022)
Goal: The goal of this project is to develop a computationally efficient and accurate solver for studying biological particles in the human body to understand and predict health and disease states.
Token Investors: Jesse Capecelatro, C. Alberto Figueroa
Project ID: 1019