Predictive computational models for assessing the impact of co-milling on drug dissolution-Reference-Cited by-同舟云学术

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Predictive computational models for assessing the impact of co-milling on drug dissolution

Published:2024-07 Issue: Volume:198 Page:106780
ISSN:0928-0987
Container-title:European Journal of Pharmaceutical Sciences
language:en
Short-container-title:European Journal of Pharmaceutical Sciences

Author:

Pätzmann Nicolas^ORCID,O'Dwyer Patrick J.,Beránek Josef,Kuentz Martin,Griffin Brendan T.^ORCID

Funder

Horizon 2020 MSCA

Publisher

Elsevier BV

Reference38 articles.

1. Computational predictions of glass-forming ability and crystallization tendency of drug molecules;Alhalaweh;Mol. Pharm.,2014

2. Models for predicting drug absorption from oral lipid-based formulations;Alskär;Curr. Mol. Biol. Rep.,2015

3. Influence of the polymer glass transition temperature and molecular weight on drug amorphization kinetics using ball milling;Asgreen;Pharmaceutics,2020

4. Machine learning directed drug formulation development;Bannigan;Adv. Drug Deliv. Rev.,2021

5. Artificial neural networks to predict the apparent degree of supersaturation in supersaturated lipid-based formulations: a pilot study;Bennett-Lenane;Pharmaceutics,2021

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