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Data-driven insights into the properties of liquisolid systems based on machine learning algorithms
| Title: | Data-driven insights into the properties of liquisolid systems based on machine learning algorithms | Authors: | Vasiljević, Ivana |
Issue Date: | 2024 | Publication: | European Journal of Pharmaceutical Sciences | ISSN: | 0928-0987 European Journal of Pharmaceutical Sciences Search Idenfier |
Publisher: | Elsevier | Type: | Article | Collation: | vol. 203 str. 106927-106927 | DOI: | 10.1016/j.ejps.2024.106927 | WoS-ID: | 001338923000001 | Scopus-ID: | 2-s2.0-85206478355 | PMID: | 39378961 | URI: | https://farfar.pharmacy.bg.ac.rs/handle/123456789/5792 https://enauka.gov.rs/handle/123456789/942385 |
Project: | Ministarstvo nauke, tehnološkog razvoja i inovacija Republike Srbije, institucionalno finansiranje - 200161 (Univerzitet u Beogradu, Farmaceutski fakultet) | M-category: | 21aM21a |