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Artificial intelligence approaches to the biochemistry of oxidative stress: Current state of the art
| Title: | Artificial intelligence approaches to the biochemistry of oxidative stress: Current state of the art | Authors: | Pantić, Igor |
Issue Date: | 2022 | Publication: | Chemico-biological interactions | ISSN: | 0009-2797 Chemico-biological Interactions Search Idenfier |
Publisher: | Limerick : Elsevier | Type: | Article | Collation: | vol. 358 str. 109888 | DOI: | 10.1016/j.cbi.2022.109888 | WoS-ID: | 000791317000002 | Scopus-ID: | 2-s2.0-85126518159 | PMID: | 35296431 | URI: | https://vinar.vin.bg.ac.rs/handle/123456789/10212 https://enauka.gov.rs/handle/123456789/759122 https://scidar.kg.ac.rs/handle/123456789/15985 |
URL: | https://www.sciencedirect.com/science/article/abs/pii/S000927972200093X?via%3Dihub | M-category: | 21aM21a |
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