International journal of pharmaceuticsDry Powder InhalersLactoseSurface PropertiesAdministrationInhalation
Machine learning-based prediction of aerodynamic performance in arformoterol-lactose dry powder inhaler formulations using surface roughness features.
Jin-Hyuk Jeong, Soyeon Hong, Ji-Hyeon Kwon, Soyoun Yang, Dong-Wook Kim, Nan Song, Hyunsouk Cho, Chun-Woong Park
Published: 202510.1016/j.ijpharm.2025.126219
Abstract
Dry powder inhalers (DPIs) are widely used for pulmonary drug delivery, and their aerodynamic performance is highly dependent on particle surface morphology. This paper presents a machine learning-based framework to quantitatively predict DPI aerodyn…
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