(533d) Mathematical Modeling of White Blood Cell Population Dynamics for Disease Prognosis
There is sufficient evidence in the literature highlighting the correlation of white blood cells (WBCs) and WBC subpopulations with AMI. This evidence motivates us to develop additional prognostic tools for examining the WBC dynamics in patients with AMI. In this framework, we aim to extract information from the raw flow cytometry measurements and develop a dynamic mathematical description of WBC subpopulation behavior. For this purpose we are using two cohorts of clinical datasets containing troponin, the gold standard measure of heart muscle cell death, and CBC measurements of patients suspected with AMI. More broadly, our objective is to use patient data to derive insight into the dynamics of human pathophysiology and to develop related clinical tools. This methodology is associated with no additional laboratory testing costs and has immense potential to advance clinical diagnosis, monitoring, and optimization of treatment.