DigitalLung: Application of High-Performance Computing to Biological System Simulation.
Burgreen, GW, Soni, B., Hester, R., Thompson, D., Walters, K., & Walters, K. B. (2010). DigitalLung: Application of High-Performance Computing to Biological System Simulation. Advances in Computational Biology (Advances in Experimental Medicine and Biology). New York: Springer. 680, 573-584.
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.