Artificial Intelligence and Machine Learning Methods to Evaluate Cardiotoxicity following the Advers...
Artificial Intelligence and Machine Learning Methods to Evaluate Cardiotoxicity following the Adverse Outcome Pathway Frameworks
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Publisher
Switzerland: MDPI AG
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Language
English
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Switzerland: MDPI AG
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Cardiovascular disease is a leading global cause of mortality. The potential cardiotoxic effects of chemicals from different classes, such as environmental contaminants, pesticides, and drugs can significantly contribute to effects on health. The same chemical can induce cardiotoxicity in different ways, following various Adverse Outcome Pathways (...
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Artificial Intelligence and Machine Learning Methods to Evaluate Cardiotoxicity following the Adverse Outcome Pathway Frameworks
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TN_cdi_doaj_primary_oai_doaj_org_article_f7c0eea638e3476781b60b26c5f2769e
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f7c0eea638e3476781b60b26c5f2769e
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ISSN
2305-6304
E-ISSN
2305-6304
DOI
10.3390/toxics12010087
