Rezultati
eNauka >
Results >
Predicting drug release from diazepam FDM printed tablets using deep learning approach: Influence of process parameters and tablet surface/volume ratio
| Title: | Predicting drug release from diazepam FDM printed tablets using deep learning approach: Influence of process parameters and tablet surface/volume ratio | Authors: | Obeid, Samiha; Madžarević, Marijana  ; Krkobabić, Mirjana; Ibrić, Svetlana  |
Issue Date: | 2021 | Publication: | International Journal of Pharmaceutics | ISSN: | 0378-5173 International Journal of Pharmaceutics Search Idenfier |
Publisher: | Elsevier B.V. | Type: | Article | Collation: | vol. 601 str. 120507-120507 | DOI: | 10.1016/j.ijpharm.2021.120507 | WoS-ID: | 000651209600006 | Scopus-ID: | 2-s2.0-85104320523 | URI: | https://farfar.pharmacy.bg.ac.rs/handle/123456789/3823 https://enauka.gov.rs/handle/123456789/520172 |
Project: | Ministarstvo prosvete, nauke i tehnološkog razvoja Republike Srbije, Ugovor br. 200161 (Univerzitet u Beogradu, Farmaceutski fakultet) (RS-200161) | M-category: | 21aM21a |
Rezultati na eNauka su zaštićeni autorskim pravima i sva prava su zadržana, osim ako nije drugačije naznačeno.