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Machine learning predicts 3D printing performance of over 900 drug delivery systems.
Muñiz Castro, Brais; Elbadawi, Moe; Ong, Jun Jie; Pollard, Thomas; Song, Zhe; Gaisford, Simon; Pérez, Gilberto; Basit, Abdul W; Cabalar, Pedro; Goyanes, Alvaro.
  • Muñiz Castro B; IRLab, CITIC Research Center, Department of Computer Science, University of A Coruña, Spain.
  • Elbadawi M; Department of Pharmaceutics, UCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK.
  • Ong JJ; Department of Pharmaceutics, UCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK.
  • Pollard T; Department of Pharmaceutics, UCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK.
  • Song Z; Department of Pharmaceutics, UCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK.
  • Gaisford S; Department of Pharmaceutics, UCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK; FabRx Ltd., Henwood House, Henwood, Ashford, Kent, England TN24 8DH, UK.
  • Pérez G; IRLab, CITIC Research Center, Department of Computer Science, University of A Coruña, Spain. Electronic address: gilberto.pvega@udc.es.
  • Basit AW; Department of Pharmaceutics, UCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK; FabRx Ltd., Henwood House, Henwood, Ashford, Kent, England TN24 8DH, UK. Electronic address: a.basit@ucl.ac.uk.
  • Cabalar P; IRLab, Department of Computer Science, University of A Coruña, Spain.
  • Goyanes A; Department of Pharmaceutics, UCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK; FabRx Ltd., Henwood House, Henwood, Ashford, Kent, England TN24 8DH, UK; Departamento de Farmacología, Farmacia y Tecnología Farmacéutica, I+D Farma (GI-1645), Facultad de Far
J Control Release ; 337: 530-545, 2021 09 10.
Article en En | MEDLINE | ID: mdl-34339755
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Impresión Tridimensional Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Año: 2021 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Impresión Tridimensional Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Año: 2021 Tipo del documento: Article