Predicting pharmaceutical inkjet printing outcomes using machine learning
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...
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Main Authors: | Paola Carou-Senra (Author), Jun Jie Ong (Author), Brais Muñiz Castro (Author), Iria Seoane-Viaño (Author), Lucía Rodríguez-Pombo (Author), Pedro Cabalar (Author), Carmen Alvarez-Lorenzo (Author), Abdul W. Basit (Author), Gilberto Pérez (Author), Alvaro Goyanes (Author) |
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Format: | Book |
Published: |
Elsevier,
2023-12-01T00:00:00Z.
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Online Access: | Connect to this object online. |
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