Litcius/Paper detail

M3DISEEN: A novel machine learning approach for predicting the 3D printability of medicines

Moe Elbadawi, Brais Muñiz Castro, Francesca K. H. Gavins, Jun Jie Ong, Simon Gaisford, Gilberto Pérez, Abdul W. Basit, Pedro Cabalar, Álvaro Goyanes

2020International Journal of Pharmaceutics211 citationsDOIOpen Access PDF

Topics & Concepts

Fused deposition modeling3D printingFused filament fabricationComputer scienceArtificial intelligenceSoftwareExcipient3d printedExtrusionMachine learningEngineering drawingManufacturing engineeringMaterials scienceMechanical engineeringEngineeringChemistryChromatographyMetallurgyProgramming language3D Printing in Biomedical ResearchAdditive Manufacturing and 3D Printing TechnologiesInnovative Microfluidic and Catalytic Techniques Innovation