Predicting pharmaceutical inkjet printing outcomes using machine learning-Reference-Cited by-同舟云学术

Predicting pharmaceutical inkjet printing outcomes using machine learning

Published:2023-12 Issue: Volume:5 Page:100181
ISSN:2590-1567
Container-title:International Journal of Pharmaceutics: X
language:en
Short-container-title:International Journal of Pharmaceutics: X

Author:

Carou-Senra Paola,Ong Jun Jie,Castro Brais Muñiz,Seoane-Viaño Iria,Rodríguez-Pombo Lucía,Cabalar Pedro,Alvarez-Lorenzo Carmen,Basit Abdul W.,Pérez Gilberto,Goyanes Alvaro

Publisher

Elsevier BV

Subject

Pharmaceutical Science

Reference49 articles.

1. Photocurable poly(ethylene glycol) as a bioink for the inkjet 3D pharming of hydrophobic drugs;Acosta-Vélez;Int. J. Pharmaceut.,2018

2. Inkjet printing of layer-by-layer assembled poly(lactide) stereocomplex with encapsulated proteins;Akagi;Langmuir,2014

3. Personalised dosing: printing a dose of one’s own medicine;Alomari;Int. J. Pharmaceut.,2015

4. Printing T3 and T4 oral drug combinations as a novel strategy for hypothyroidism;Alomari;Int. J. Pharmaceut.,2018

5. Preparation and characterization of indomethacin loaded films by piezoelectric inkjet printing: a personalized medication approach;Arshad;Pharm. Dev. Technol.,2020

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