title: DigitalLung: application of high-performance computing to biological system simulation.
abstract: The DigitalLung project represents an attempt to develop a multi-scale capability for simulating human respiration with application to predicting the effects of inhaled particulate matter. To accomplish this objective, DigitalLung integrates macroscale models of integrative human physiology, meso-to-microscale computational fluid dynamics simulations of a breathing human lung, meso-to-nanoscale particle transport and deposition models, and micro-to-nanoscale physical and chemical characterizations of particulate and their mass transfer through the mucosal layer to the epithelium. This chapter describes preliminary results and areas of ongoing research.
authors.affiliation: Department of Aerospace Engineering, Mississippi State University, Mississippi State, MS, USA.
authors.forename: Greg W
authors.initials: GW
authors.lastname: Burgreen
authors.forename: Robert
authors.initials: R
authors.lastname: Hester
authors.forename: Bela
authors.initials: B
authors.lastname: Soni
authors.forename: David
authors.initials: D
authors.lastname: Thompson
authors.forename: D Keith
authors.initials: DK
authors.lastname: Walters
authors.forename: Keisha
authors.initials: K
authors.lastname: Walters
mesh_terms: D019295:Computational Biology; D003198:Computer Simulation; D006801:Humans; D057446:Hydrodynamics; D008168:Lung / Q000033:anatomy & histology* / Q000187:drug effects / Q000502:physiology*; D008953:Models, Anatomic; D008954:Models, Biological; D052638:Particulate Matter / Q000493:pharmacokinetics / Q000633:toxicity; D012143:Respiratory Physiological Phenomena / Q000187:drug effects; D049490:Systems Biology
chemical_list: D052638:Particulate Matter