Accelerating 3D printing of pharmaceutical products using machine learning.

Ong, Jun Jie; Castro, Brais Muñiz; Gaisford, Simon; Cabalar, Pedro; Basit, Abdul W; Pérez, Gilberto; Goyanes, Alvaro

Ong, Jun Jie; Castro, Brais Muñiz; Gaisford, Simon; Cabalar, Pedro; Basit, Abdul W; Pérez, Gilberto; Goyanes, Alvaro.

Afiliación

Ong JJ; Department of Pharmaceutics, UCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK.
Castro BM; IRLab, CITIC Research Center, Department of Computer Science, University of A Coruña, Spain.
Gaisford S; Department of Pharmaceutics, UCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK.
Cabalar P; FabRx Ltd., Henwood House, Henwood, Ashford TN24 8DH, UK.
Basit AW; IRLab, Department of Computer Science, University of A Coruña, Spain.
Pérez G; Department of Pharmaceutics, UCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK.
Goyanes A; FabRx Ltd., Henwood House, Henwood, Ashford TN24 8DH, UK.

Int J Pharm X ; 4: 100120, 2022 Dec.

Article en En | MEDLINE | ID: mdl-35755603

Palabras clave

3D printed drug products and medicines; Additive manufacturing of pharmaceuticals; Artificial intelligence and digital health; Fused filament fabrication and Fused deposition modelling; Manufacture of medicinal products; Material extrusion and drug delivery systems; Printing medical devices and implants

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Int J Pharm X Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Países Bajos

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