Facultad de Informática
Centro
FabRx Ltd.
Ashford, Reino UnidoPublicaciones en colaboración con investigadores/as de FabRx Ltd. (4)
2023
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Predicting pharmaceutical inkjet printing outcomes using machine learning
International Journal of Pharmaceutics: X, Vol. 5
2022
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Accelerating 3D printing of pharmaceutical products using machine learning
International Journal of Pharmaceutics: X, Vol. 4
2021
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Machine learning predicts 3D printing performance of over 900 drug delivery systems
Journal of Controlled Release, Vol. 337, pp. 530-545
2020
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M3DISEEN: A novel machine learning approach for predicting the 3D printability of medicines
International Journal of Pharmaceutics, Vol. 590