2024/03/14 by Aranyak Chakravarty, Debjit Kundu, Chakravarty, Aranyak +7
Medicine · Pharmacology, Toxicology and Pharmaceutics · #Biological Physics (physics.bio-ph) #Cardiovascular Function and Risk Factors #Chemical Reactions and Isotopes #Chronic Obstructive Pulmonary Disease (COPD) Research #FOS: Physical sciences #Medical Physics (physics.med-ph)
paper · pdf · doi:10.48550/arxiv.2403.09203
openalex publication_date 2024/03/14 · openalex created_date 2024/03/16 · openalex updated_date 2026/07/28
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 non-dimensional numbers (a virtual disease landscape) is noted with an eye on translating modeling to clinical practice. This could aid in disease diagnosis, get mechanistic insights into pathologies, and determine patient specific treatment plan. 1D modeling could be an important tool in developing novel measurement and analysis platforms that could be deployed at point-of-care.