QSAR Models for Predicting the Antioxidant Potential of Chemical Substances.
- Published in:
- Journal of Xenobiotics, 2025, v. 15, n. 3, p. 80, doi. 10.3390/jox15030080
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- Publication type:
- Article
Works by Viganò, Edoardo Luca
Results: 3
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2
Artificial Intelligence and Machine Learning Methods to Evaluate Cardiotoxicity following the Adverse Outcome Pathway Frameworks.
- Published in:
- Toxics, 2024, v. 12, n. 1, p. 87, doi. 10.3390/toxics12010087
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- Publication type:
- Article
3
Virtual Extensive Read-Across: A New Open-Access Software for Chemical Read-Across and Its Application to the Carcinogenicity Assessment of Botanicals.
- Published in:
- Molecules, 2022, v. 27, n. 19, p. 6605, doi. 10.3390/molecules27196605
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- Publication type:
- Article