Perspectives on physics-based one-dimensional modeling of lung physiology.
Ontology highlight
ABSTRACT: The need to understand how infection spreads to the deep lung was acutely realized during the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) pandemic. The challenge of modeling virus laden aerosol transport and deposition in the airways, coupled with mucus clearance, and infection kinetics, became evident. This perspective provides a consolidated view of coupled one-dimensional physics-based mathematical models to probe multifaceted aspects of lung physiology. Successes of 1D trumpet models in providing mechanistic insights into lung function and optimalities are reviewed while identifying limitations and future directions. Key non-dimensional numbers defining lung function are reported. The need to quantitatively map various pathologies on a physics-based parameter space of
SUBMITTER: Chakravarty A
PROVIDER: S-EPMC12504317 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature
ACCESS DATA