Abstract
Chronic respiratory disease affects over one billion people worldwide. Differences in patient breathing and airway shape can impact drug particle distribution on the airway surface and therapeutic efficacy. In silico methods provide detailed analysis of drug particle deposition. By using computed tomography (CT) scans, we can create 3D models personalized to airway shape that predict particle deposition during different breathing states. We used such models to evaluate deposition change (i) between normal and rapid breathing, and (ii) across patients of different diseases.
Original language | English |
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Publication status | Published - May 2021 |
Event | Respiratory Drug Delivery 2021 - Virtual Duration: 4 May 2021 → 7 May 2021 |
Conference
Conference | Respiratory Drug Delivery 2021 |
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Period | 4/05/21 → 7/05/21 |