DigitalLung: application of high-performance computing to biological system simulation.
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.
Burgreen
Greg W
GW
Department of Aerospace Engineering, Mississippi State University, Mississippi State, MS, USA.
Hester
Robert
R
Soni
Bela
B
Thompson
David
D
Walters
D Keith
DK
Walters
Keisha
K
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
D052638:Particulate Matter