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Tailoring Atomoxetine Release Rate from DLP 3D-Printed Tablets Using Artificial Neural Networks: Influence of Tablet Thickness and Drug Loading
| Naziv: | Tailoring Atomoxetine Release Rate from DLP 3D-Printed Tablets Using Artificial Neural Networks: Influence of Tablet Thickness and Drug Loading | Autori: | Stanojević, Gordana; Medarević, Đorđe |
Godina: | 2021 | Publikacija: | Molecules (Basel, Switzerland) | ISSN: | 1420-3049 Molecules Pretraži identifikator |
Izdavač: | MDPI | Tip rezultata: | Naučni članak | Kolacija: | vol. 26 br. 1 str. 111 | DOI: | 10.3390/molecules26010111 | WoS-ID: | 000606262700001 | Scopus-ID: | 2-s2.0-85099242524 | PMID: | 33383691 | PMCID: | PMC7795907 | URI: | https://enauka.gov.rs/handle/123456789/520106 https://farfar.pharmacy.bg.ac.rs/handle/123456789/3771 |
Projekat: | Ministarstvo prosvete, nauke i tehnološkog razvoja Republike Srbije, Ugovor br. 200161 (Univerzitet u Beogradu, Farmaceutski fakultet) (RS-200161) | M-kategorija: | 21M21 - Vodeći međunarodni časopis kategorije M21 |