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Predicting pharmaceutical inkjet printing outcomes using machine learning.
Int J Pharm X. 2023 Apr 17;5:100181. doi: 10.1016/j.ijpx.2023.100181. eCollection 2023 Dec.
Int J Pharm X. 2023.
PMID: 37143957
Free PMC article.
Accelerating 3D printing of pharmaceutical products using machine learning.
Ong JJ, Castro BM, Gaisford S, Cabalar P, Basit AW, Pérez G, Goyanes A.
Ong JJ, et al. Among authors: cabalar p.
Int J Pharm X. 2022 Jun 9;4:100120. doi: 10.1016/j.ijpx.2022.100120. eCollection 2022 Dec.
Int J Pharm X. 2022.
PMID: 35755603
Free PMC article.
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Machine learning predicts 3D printing performance of over 900 drug delivery systems.
Muñiz Castro B, Elbadawi M, Ong JJ, Pollard T, Song Z, Gaisford S, Pérez G, Basit AW, Cabalar P, Goyanes A.
Muñiz Castro B, et al. Among authors: cabalar p.
J Control Release. 2021 Sep 10;337:530-545. doi: 10.1016/j.jconrel.2021.07.046. Epub 2021 Jul 30.
J Control Release. 2021.
PMID: 34339755
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M3DISEEN: A novel machine learning approach for predicting the 3D printability of medicines.
Elbadawi M, Muñiz Castro B, Gavins FKH, Ong JJ, Gaisford S, Pérez G, Basit AW, Cabalar P, Goyanes A.
Elbadawi M, et al. Among authors: cabalar p.
Int J Pharm. 2020 Nov 30;590:119837. doi: 10.1016/j.ijpharm.2020.119837. Epub 2020 Sep 20.
Int J Pharm. 2020.
PMID: 32961295
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