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UID:submissions.pasc-conference.org_PASC22_sess121_msa152@linklings.com
SUMMARY:Quantification of Material Properties and Stress-Free State of Hum
 an Erythrocytes, through Hierarchical Bayesian Inference
DESCRIPTION:Minisymposium\n\nQuantification of Material Properties and Str
 ess-Free State of Human Erythrocytes, through Hierarchical Bayesian Infere
 nce\n\nEconomides, Amoudruz, Arampatzis, Koumoutsakos\n\nComputational mod
 els of Red Blood Cells (RBCs) require a stress-free state (SFS) to compute
  the shear stresses on the membrane. However, the exact SFS of healthy RBC
 s is unknown and cannot be measured from current experimental techniques. 
 In this work, we employ Hierarchical Bayesian Inference to create a probab
 ilistic RBC model and quantify the SFS, along with all material properties
  of the RBC model. This new, probabilistic model is calibrated using exper
 imental data available in the literature, for RBCs in equilibrium, under s
 tretching, and during relaxation after elongation. The probabilistic model
  gives an accurate prediction of the data used during the inference, as we
 ll as unseen experimental data of flowing RBCs, undergoing complex dynamic
 al motions. This demonstrates the transferability of the probabilistic RBC
  model and its potential for accurate prediction of RBC dynamics in multip
 le settings.\n\nDomain: Engineering, Life Sciences
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