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Model-Informed Drug Development: In Silico Assessment of Drug Bioperformance following Oral and Percutaneous Administration.
Djuris J, Cvijic S, Djekic L. Djuris J, et al. Pharmaceuticals (Basel). 2024 Jan 30;17(2):177. doi: 10.3390/ph17020177. Pharmaceuticals (Basel). 2024. PMID: 38399392 Free PMC article. Review.
The pharmaceutical industry has faced significant changes in recent years, primarily influenced by regulatory standards, market competition, and the need to accelerate drug development. Model-informed drug development (MIDD) leverages quantitative computational mode …
The pharmaceutical industry has faced significant changes in recent years, primarily influenced by regulatory standards, market competition, …
Application of Machine-Learning Algorithms for Better Understanding the Properties of Liquisolid Systems Prepared with Three Mesoporous Silica Based Carriers.
Glišić T, Djuriš J, Vasiljević I, Parojčić J, Aleksić I. Glišić T, et al. Pharmaceutics. 2023 Feb 23;15(3):741. doi: 10.3390/pharmaceutics15030741. Pharmaceutics. 2023. PMID: 36986602 Free PMC article.
In addition, the results of the flowability testing and dynamic compaction analysis of liquisolid admixtures were used to build data sets and develop predictive multivariate models. In the regression analysis, six different algorithms were used to model the relationship be …
In addition, the results of the flowability testing and dynamic compaction analysis of liquisolid admixtures were used to build data sets an …