Mathematical Modeling of Blood Clotting: From Surface-Mediated Coagulation to Fibrin Polymerization
Tuesday, June 15 at 09:30am (PDT)Tuesday, June 15 at 05:30pm (BST)Wednesday, June 16 01:30am (KST)
Karin Leiderman (Colorado School of Mines, United States), Anna Nelson (University of Utah, USA)
Blood clotting is an intricate and nonlinear process that occurs under flow and on multiple spatial and temporal scales. Clots form normally during hemostasis, where an injured vessel is sealed to stop bleeding. Regulation of hemostasis depends on platelet adhesion, aggregation, and contraction, the cell-surface mediated enzyme reactions of coagulation, and formation of stabilizing fibrin matrix. Defects or perturbations can lead to serious bleeding or pathological clot formation (thrombosis). Due the complex nature of the clotting system as a whole, responses to these perturbations are challenging to predict and underlying mechanisms are difficult to determine. Here, we bring together researchers taking mathematical and computational approaches to gain insight into the complexity of the clotting system. This minisymposium will consist of two sessions: one with a focus on aspects of fibrin, fibrin polymerization, and clot mechanics and one with a focus on coagulation biochemistry, both static and under flow, and the interplay with coronavirus. The mathematical approaches include continuum and particle-based modeling of various spatial-temporal processes under flow, system biology approaches for complex biochemical systems, as well as uncertainty quantification and parameter estimation using experimental data.