Understanding lung function and disease through mathematical modeling and experiment
Wednesday, June 16 at 05:45pm (PDT)Thursday, June 17 at 01:45am (BST)Thursday, June 17 09:45am (KST)
Uduak George (San Diego State University, United States), Mona Eskandari (University of California Riverside, United Staes)
The COVID-19 pandemic and its impact on respiratory system has highlighted the exigent needs to research pulmonary mechanics. This mini-symposium aims to showcase some recent studies using mathematical models to examine lung development, normal lung function, diseased lung conditions and functional deterioration. These research explorations provide insights to diseases such as asthma, tuberculosis, cystic fibrosis and treatment of lung infection. They have also advanced pulmonary tissue characterization and understanding of age related alterations in lung function. Lung diseases often leads to reduced lung function and poor quality of life and mathematical models can provide excellent avenues to unravel the complex dynamics that orchestrate lung decline in various health conditions. The models employed in these works cut across different areas of mathematical and computational mathematics, including reaction-diffusion models, partial differential equation models, agent-based models, image-based analyses, mechanics, morphoelasticity etc.