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This is a Quantitative Study study.

September 23, 2025MicrocirculationOpen Access

Blood Flow Simulation and Uncertainty Quantification in Extensive Microvascular Networks: Application to Brain Cortical Networks

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Simulation enhances understanding of blood flow dynamics in brain networks, revealing uncertainty patterns.

The adaptive method for pressure boundary conditions produces accurate blood flow simulations across brain networks.
A Bayesian calibration framework infers distributions over numerous unknown pressure boundary conditions.
Uncertainty quantification reveals a novel spatially heterogeneous pattern in blood flow uncertainty.
The method aids in future blood flow simulations, enhancing predictive capabilities by incorporating uncertainties.

Peter Mondrup Rasmussen (2025) studied this question.

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