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)
Preview |
Text
146-Benko---Regdon---Sovany---Pharmaceutics-14-14020228-2022.pdf - Published Version Download (3MB) | Preview |
| Creators: |
|
||||||||
|---|---|---|---|---|---|---|---|---|---|
| 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® |
Actions (login required)
 |
View Item |
Download Statistics
Download Statistics
