Machine Learning in Additive Manufacturing of Pharmaceuticals
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-2404-2_11
Reference67 articles.
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2. Alayoubi A, Zidan A, Asfari S, Ashraf M, Sau L, Kopcha M (2022) Mechanistic understanding of the performance of personalized 3D-printed cardiovascular polypills: a case study of patient-centered therapy. Int J Pharm 617:121599. https://doi.org/10.1016/j.ijpharm.2022.121599
3. Anderspuk H, Viidik L, Olado K, Kogermann K, Juppo A, Heinämäki J, Laidmäe I (2021) Effects of crosslinking on the physical solid-state and dissolution properties of 3D-printed theophylline tablets. Ann 3D Print Med 4:100031. https://doi.org/10.1016/j.stlm.2021.100031
4. Arafat B, Qinna N, Cieszynska M, Forbes RT, Alhnan MA (2018) Tailored on demand anti-coagulant dosing: an in vitro and in vivo evaluation of 3D printed purpose-designed oral dosage forms. Eur J Pharm Biopharm 128:282–289. https://doi.org/10.1016/j.ejpb.2018.04.010
5. Araújo MRP, Sa-Barreto LL, Gratieri T, Gelfuso GM, Cunha-Filho M (2019) The digital pharmacies era: how 3D printing technology using fused deposition modeling can become a reality. Pharmaceutics 11:128. https://doi.org/10.3390/pharmaceutics11030128
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