A digital platform to assess targeted regional drug delivery inside respiratory airways
An interactive CFD-based modeling system predicts drug delivery in respiratory airways, addressing inefficiencies in current testing methods by providing rapid and cost-effective predictions across various anatomical and demographic variations.
WO2025175275A1 Publication Date: 2025-08-21SOUTH DAKOTA BOARD OF REGENTS
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Patent Information
- Application Number
- PCT/US2025/016231
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2024-02-16
- Filing Date
- 2025-02-17
- Publication Date
- 2025-08-21
AI Technical Summary
Technical Problem
Current methods for testing drug delivery through nasal sprays, inhalers, and nebulizers are time-consuming and costly, requiring extensive individual testing on human subjects, which is inefficient and prohibitive.
Method used
An interactive modeling system using experimentally validated computational fluid dynamics (CFD) simulations and interpolation/extrapolation algorithms to predict drug delivery in anatomically reconstructed respiratory airways, eliminating the need for case-by-case testing.
Benefits of technology
The system efficiently predicts drug delivery to clinical target sites along the respiratory pathway, reducing the time and cost of testing by using a generalized CFD model based on multiple anatomic reconstructions and demographic variations.
✦ Generated by Eureka AI based on patent content.
Abstract
An interactive modeling system based on experimentally validated computational fluid dynamics (CFD) simulations of particle transport inside anatomic reconstructions of human respiratory cavities has been disclosed. The system includes an interactive interface that displays CFD output and the projected drug delivery within anatomical respiratory airways using an interpolation / extrapolation algorithm. The projected drug delivery is displayed for different regions of the respiratory airway based on specific drug features, e.g., particle sizes, spray plume geometry, particle speeds, formulation density, and viscosity.
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