A Transendothelial Leukocyte Transmigration Model Based on Computational Fluid Dynamics and BP Neural Network.

ABSTRACT: The mechanism of immune infiltration involving immune cells is closely related to various diseases. A key issue in immune infiltration is the transendothelial transmigration of leukocytes. Previous studies have primarily interpreted the leukocyte infiltration of from biomedical perspective. The physical mechanism of leukocyte infiltration remains to be explored. By integrating the immune cell transmigration computational fluid dynamics (CFD) data, the paper builds a time-dependent leukocyte transmigration prediction model based on the bio-inspired methods, namely back propagation neural networks (BPNN) model. The model can efficiently predict the immune cell transmigration in a special microvascular environment, and obtain good prediction accuracy. The model accurately predicted the cell m

SUBMITTER: Chi Q 

PROVIDER: S-EPMC9253467 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature