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

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第一作者： Moe,Elbadawi

第一单位： Department of Pharmaceutics, UCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK.

作者： Moe,Elbadawi ^[1] ; Brais,Muñiz Castro ^[2] ; Francesca K H,Gavins ^[1] ; Jun Jie,Ong ^[1] ; Simon,Gaisford ^[3] ; Gilberto,Pérez ^[4] ; Abdul W,Basit ^[5] ; Pedro,Cabalar ^[6] ; Alvaro,Goyanes ^[7]

作者单位： Department of Pharmaceutics, UCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK. ^[1] IRLab, CITIC Research Center, Department of Computer Science, University of A Coruña, Spain. ^[2] Department of Pharmaceutics, UCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK; FabRx Ltd., 3 Romney Road, Ashford, Kent TN24 0RW, UK. ^[3] IRLab, CITIC Research Center, Department of Computer Science, University of A Coruña, Spain. Electronic address: gilberto.pvega@udc.es. ^[4] Department of Pharmaceutics, UCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK; FabRx Ltd., 3 Romney Road, Ashford, Kent TN24 0RW, UK. Electronic address: a.basit@ucl.ac.uk. ^[5] IRLab, Department of Computer Science, University of A Coruña, Spain. ^[6] Department of Pharmaceutics, UCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK; FabRx Ltd., 3 Romney Road, Ashford, Kent TN24 0RW, UK; Departamento de Farmacología, Farmacia y Tecnología Farmacéutica, I+D Farma Group (GI-1645), Universidade de Santiago de Compostela, 15782, Spain. Electronic address: a.goyanes@FabRx.co.uk. ^[7]

关键词 3D printed drug products Additive manufacturing Feature engineering Fused filament fabrication Gastrointestinal drug delivery Material extrusion Personalized pharmaceuticals and medicines

主题词人工智能(Artificial Intelligence);辅药(Excipients);人类(Humans);工艺学, 制药(Technology, Pharmaceutical)

DOI 10.1016/j.ijpharm.2020.119837

PMID 32961295

发布时间 2021-06-17

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