Machine learning approach for carrier surface design in carrier-based dry powder inhalation

• Main Authors: Farizhandi, Amir Abbas Kazemzadeh, Alishiri, Mahsa, Lau, Raymond
• Other Authors: School of Chemical and Biomedical Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Bioengineering; Artificial Neural Network; Dry Powder Inhalation
• Online Access: https://hdl.handle.net/10356/159809
• Institution: Nanyang Technological University

In this study, a machine learning approach was applied to evaluate the impact of operating and design variables on dry powder inhalation efficiency. Emitted dose and fine particle fraction data were extracted from the literature for a variety of drug and carrier combinations. Carrier surface propert...