In silico high-resolution whole lung model to predict the locally delivered dose of inhaled drugs
Cobuilder (Norway) · Technical University of Munich
Abstract
The big crux with drug delivery to human lungs is that the delivered dose at the local site of action is unpredictable and very difficult to measure, even a posteriori. It is highly subject-specific as it depends on lung morphology, disease, breathing, and aerosol characteristics. Given these challenges, computational approaches have shown potential, but have so far failed due to fundamental methodical limitations. We present and validate a novel in silico model that enables the subject-specific prediction of local aerosol deposition throughout the entire lung. Its unprecedented spatiotemporal resolution allows to track each aerosol particle anytime during the breathing cycle, anywhere in the complete system…
Citation impact
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Authors
13Topics & keywords
- Human lung
- In silico
- Breathing
- Site of action
- Computer science
- Lung disease
- Drug development
- Human disease
- Good health and well-being