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Predicting Drug Release Rate of Implantable Matrices and Better Understanding of the Underlying Mechanisms through Experimental Design and Artificial Neural Network-Based Modelling.
Pharmaceutics. 2022 Jan 19;14(2):228. doi: 10.3390/pharmaceutics14020228.
Pharmaceutics. 2022.
PMID: 35213961
Free PMC article.
Comparison of the properties of implantable matrices prepared from degradable and non-degradable polymers for bisphosphonate delivery.
Sovány T, Csüllög A, Benkő E, Regdon G Jr, Pintye-Hódi K.
Sovány T, et al. Among authors: benko e.
Int J Pharm. 2017 Nov 30;533(2):364-372. doi: 10.1016/j.ijpharm.2017.07.023. Epub 2017 Jul 13.
Int J Pharm. 2017.
PMID: 28713001
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