Predicting pharmaceutical inkjet printing outcomes using machine learning

• Autors principals: Paola Carou-Senra (Autor), Jun Jie Ong (Autor), Brais Muñiz Castro (Autor), Iria Seoane-Viaño (Autor), Lucía Rodríguez-Pombo (Autor), Pedro Cabalar (Autor), Carmen Alvarez-Lorenzo (Autor), Abdul W. Basit (Autor), Gilberto Pérez (Autor), Alvaro Goyanes (Autor)
• Format: Llibre
• Publicat: Elsevier, 2023-12-01T00:00:00Z.
• Matèries: article
• Accés en línia: Connect to this object online.

Inkjet printing has been extensively explored in recent years to produce personalised medicines due to its low cost and versatility. Pharmaceutical applications have ranged from orodispersible films to complex polydrug implants. However, the multi-factorial nature of the inkjet printing process make...