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 |
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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: | Szegedi Tudományegyetem |
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: 2 | View citing articles in Web of Science® |
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