A fluid and particle mechanics perspective of nasal drug delivery
Patient-specific, GPU-accelerated CFD simulations, increasingly refined by AI, will enable predictive deposition mapping and integration with PBPK models. This supports in silico trials and personalized device optimization, yet clinical translation is limited by validation gaps, regulatory conservatism, and manufacturing complexities. Future integration of real-time imaging, AI surrogates, and smart delivery systems may shift nasal drug delivery toward per-nostril precision medicine and virtual-cohort-based regulatory acceptance.
Authors
- David F. Fletcher (ORCID: https://orcid.org/0000-0003-2221-4192)
- David A. V. Morton (ORCID: https://orcid.org/0000-0002-1491-6517)
- Kiao Inthavong (ORCID: https://orcid.org/0000-0003-0476-0237)
- Daniela Traini (ORCID: https://orcid.org/0000-0002-7173-017X)
Institutions
- The University of Sydney (AU)
- Deakin University (AU)
- Woolcock Institute of Medical Research (AU)
- MIT University (MK)
- RMIT University (AU)
- Macquarie University (AU)
Publication Details
- Journal
- Expert Opinion on Drug Delivery
- Published
- 2025-10-17
- DOI
- https://doi.org/10.1080/17425247.2025.2575944
- Primary Topic
- Advanced Drug Delivery Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00