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The cardiovascular system regulates the number of erythrocytes in the bloodstream to ensure optimal oxygen transport. It also prevents over-proliferation of these cells, which helps to maintain blood viscosity and flow rate.
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Updated: Jul 7, 2025

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Enhancing Adaptive Physics Refinement Simulations Through the Addition of Realistic Red Blood Cell Counts.

Sayan Roychowdhury1, Peter Balogh1, Samreen T Mahmud1

  • 1Duke University, Durham, NC, USA.

International Conference for High Performance Computing, Networking, Storage and Analysis : [Proceedings]. SC (Conference : Supercomputing)
|December 21, 2023
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Simulating cancer cell transport requires advanced computational fluid dynamics. This study introduces an efficient hybrid CPU-GPU method for modeling red blood cell interactions and cancer cell movement.

Keywords:
cancer cellscomputational fluid dynamicsheterogeneous architecturemultiphysicsmultiscale modelingred blood cells

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Area of Science:

  • Computational fluid dynamics
  • Biomedical engineering
  • Cancer research

Background:

  • Accurate modeling of cancer cell transport in the circulatory system is crucial.
  • Simulations require high fidelity for red blood cell (RBC) interactions and large-scale fluid dynamics.

Purpose of the Study:

  • To develop an efficient computational method for simulating cancer cell transport.
  • To couple detailed red blood cell dynamics with large-scale fluid flow.

Main Methods:

  • Utilized a hybrid CPU-GPU approach to extend the advanced physics refinement (APR) method.
  • Coupled a finely-resolved RBC domain with a coarsely-resolved bulk fluid domain.
  • Developed algorithms for interface dynamics, hematocrit maintenance, and cancer cell tracking.

Main Results:

  • Successfully simulated mm-scale cancer cell transport with a localized RBC region.
  • Achieved accurate modeling of RBC dynamics and fluid interactions.
  • Demonstrated significant computational savings compared to fully-resolved models.

Conclusions:

  • The advanced APR method provides an efficient and accurate approach for cancer cell transport simulations.
  • This method enables large-scale simulations of cancer cell dynamics within the circulatory system.
  • Offers a computationally feasible tool for studying cancer metastasis and treatment strategies.