Although lung diseases are among the leading causes of death worldwide, our understanding of the physical mechanisms governing lung physiology remains insufficient. Further research is needed to improve lung disease diagnosis and the design of more efficient treatment strategies for them. This project seeks to improve our understanding of lung physiology by studying the complex flow phenomena in the human airways numerically with unprecedented accuracy. The research methods will utilize a novel computational fluid dynamics approach to study respiratory fluid mechanics within the lung airways. Findings obtained in this project will pave the way for a more accurate diagnosis of lung diseases and will help better understand and treat various pulmonary diseases such as chronic obstructive pulmonary disease, cystic fibrosis, and asthma.

2023

2027