Mathematical modeling of the cardiovascular system and whole-body metabolism
Title: Mathematical modeling of the cardiovascular system and whole-body metabolism
SNIC Project: LiU-compute-2020-11
Project Type: LiU Compute
Principal Investigator: Kajsa Tunedal <kajsa.tunedal@liu.se>
Affiliation: Linköpings universitet
Duration: 2020-05-11 – 2021-06-01
Classification: 10610
Keywords:

Abstract

My research focus is mathematical modeling of the cardiovascular system and the connection to whole-body metabolism and stress responses to further understand the underlying mechanisms of conditions such as hypertension, cardiovascular diseases, type 2 diabetes, and obesity. By describing the biological systems with mathematical models, one can test hypotheses regarding how the system works and gain insight about mechanisms and parameters that can't be measured. One can also simulate new scenarios and make predictions before doing any physical experiments. A large part of the modeling process is to estimate model parameters and fit model simulations to experimental data. Right now, that process is time-consuming and it can take up to 24 hours to run a round of basic parameter estimations. Parallelization of the parameter estimations would considerably increase the speed of my research and free time (and my computer power) for me to focus on model development and other tasks instead of waiting for parameter estimations to finish.