Litcius/Paper detail

Machine learning predicts 3D printing performance of over 900 drug delivery systems

Brais Muñiz Castro, Moe Elbadawi, Jun Jie Ong, Thomas D. Pollard, Zhe Song, Simon Gaisford, Gilberto Pérez, Abdul W. Basit, Pedro Cabalar, Álvaro Goyanes

2021Journal of Controlled Release177 citationsDOIOpen Access PDF

Topics & Concepts

WorkflowComputer sciencePipeline (software)Artificial neural networkMachine learningArtificial intelligenceProcess (computing)Extrusion3D printingDrug deliveryNanotechnologyMaterials scienceEngineeringMechanical engineeringDatabaseOperating systemMetallurgyProgramming language3D Printing in Biomedical ResearchAdditive Manufacturing and 3D Printing TechnologiesInnovative Microfluidic and Catalytic Techniques Innovation
Machine learning predicts 3D printing performance of over 900 drug delivery systems | Litcius