Accelerating 3D printing of pharmaceutical products using machine learning

• Published in: International journal of pharmaceutics: X Vol. 4; p. 100120
• Main Authors: Ong, Jun Jie, Castro, Brais Muñiz, Gaisford, Simon, Cabalar, Pedro, Basit, Abdul W., Pérez, Gilberto, Goyanes, Alvaro
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.12.2022; Elsevier
• Subjects: 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; Research Paper; Printing medical devices and implants; Artificial intelligence and digital health; Material extrusion and drug delivery systems; Manufacture of medicinal products; Additive manufacturing of pharmaceuticals; Fused filament fabrication and Fused deposition modelling; 3D printed drug products and medicines

Three-dimensional printing (3DP) has seen growing interest within the healthcare industry for its ability to fabricate personalized medicines and medical devices. However, it may be burdened by the lengthy empirical process of formulation development. Active research in pharmaceutical 3DP has led to...