Benkő Ernő and Ilič Ilija Germa and Kristó Katalin and Regdon Géza (ifj.) and Pannonhalminé Csóka Ildikó and Hódi Klára and Sricic Stane and Sovány Tamás:
Predicting Drug Release Rate of Implantable Matrices and Better Understanding of the Underlying Mechanisms through Experimental Design and Artificial Neural Network-Based Modelling.
PHARMACEUTICS, 14 (2).
Terjedelem: 16 p-Azonosító: 228.
ISSN 1999-4923
(2022)
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Item Type: | Journal Article | ||||||||
Journal or Publication Title: | PHARMACEUTICS | ||||||||
Date: | 2022 | ||||||||
Volume: | 14 | ||||||||
Number: | 2 | ||||||||
Page Range: | Terjedelem: 16 p-Azonosító: 228 | ||||||||
ISSN: | 1999-4923 | ||||||||
Faculty/Unit: | Faculty of Pharmacy | ||||||||
Institution: | University of Szeged (2000-) | ||||||||
Language: | English | ||||||||
MTMT rekordazonosító: | 32634618 | ||||||||
DOI azonosító: | https://doi.org/10.3390/pharmaceutics14020228 | ||||||||
Date Deposited: | 2022. Feb. 09. 10:19 | ||||||||
Last Modified: | 2022. Feb. 09. 10:19 | ||||||||
URI: | http://publicatio.bibl.u-szeged.hu/id/eprint/23524 |
Web of Science® Times Cited: 7 | View citing articles in Web of Science® |
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