Main description:

Inhaled medicines are widely used to treat pulmonary and systemic diseases. The efficacy and safety of these medicines can be influenced by the deposited fraction, the regional deposition pattern within the lungs and by post-depositional events such as drug dissolution, absorption and clearance from the lungs. Optimizing performance of treatments thus requires that we understand and are able to quantify these product and drug attributes.

Inhaled Medicines: Optimizing Development through Integration of In Silico, In Vitro and In Vivo Approaches explores the current state of the art with respect to inhalation drug delivery, technologies available to assess product performance, and novel in silico methods now available to link in vitro product performance to clinical performance. Recent developments in the latter field, especially the prospect of integration of three-dimensional Computational Fluid Particle Methods (3D-CFPD) with physiologically based pharmacokinetic (PBPK models), unlocks the potential for in silico population studies that can help inform and optimize treatment and product development strategies. In this highly multidisciplinary field, where progress occurs at the intersection of several disciplines of engineering and science, this work aims to integrate current knowledge and understanding and to articulate a clear vision for future developments.

Contents:

1. Historical perspective - Disruptive technologies and strategies 2. The API 3. Devices and formulations: General introduction and wet aerosol delivery systems 4. Metered dose inhalers (MDIs) 5. Dry powder inhalers (DPIs) 6. In vitro methods to study dose deposition 7. In silico methods to model dose deposition 8. Non-absorptive clearance from airways 9. Dissolution and drug release 10. Epithelial permeability and drug absorption in the lungs 11. Drug distribution in lung tissue 12. Physiologically-based pharmacokinetic modeling after drug inhalation 13. Inhaled aerosols: Emerging clinical methods 14. Machine learning and in silico methods 15. The emerging state of the art