DigitalLung: application of high-performance computing to biological system simulation

Adv Exp Med Biol. 2010:680:573-84. doi: 10.1007/978-1-4419-5913-3_63.

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.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Computational Biology
  • Computer Simulation*
  • Humans
  • Hydrodynamics
  • Lung / anatomy & histology*
  • Lung / drug effects
  • Lung / physiology*
  • Models, Anatomic
  • Models, Biological*
  • Particulate Matter / pharmacokinetics
  • Particulate Matter / toxicity
  • Respiratory Physiological Phenomena / drug effects
  • Systems Biology

Substances

  • Particulate Matter