Introduction: Respiratory drug delivery is a surprisingly complex process with a number of
physical and biological challenges. Computational fluid dynamics (CFD) is a scientific …

Gram-negative organisms comprise a large portion of the pathogens responsible for lower
respiratory tract infections, especially those that are nosocomially acquired, and the rate of …

Prediction of the air-particle dynamics in human lungs can reveal critical deposition sites of
toxins or can determine best physical parameters for direct drug delivery and associated …

Background: A validated method to predict lung deposition for inhaled medication from in
vitro data is lacking in spite of many attempts to correlate in vitro and in vivo outcomes. By …

Prediction of local exposure following inhalation of a locally acting pulmonary drug is central
to the successful development of novel inhaled medicines, as well as generic equivalents …

Purpose CFD provides a powerful approach to evaluate the deposition of pharmaceutical
aerosols; however, previous studies have not compared CFD results of deposition …

Introduction: Pulmonary drug delivery is a complex field of research combining physics
which drive aerosol transport and deposition and biology which underpins efficacy and …

In silico methods can be used to estimate regional deposition of inhaled aerosols in regions
of the lung that are inaccessible by direct measurements. Knowledge of deposited dose is …

Abstract Development of a new drug for the treatment of lung disease is a complex and time
consuming process involving numerous disciplines of basic and applied sciences. During …

Determining the hotspots and deposition efficiencies (DEs) for aerosols in human airways is
important for both research and medical purposes. The complexity of the human airways …