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Opportunities for machine learning to predict cross-neutralization in FMDV serotype O.

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Title: Opportunities for machine learning to predict cross-neutralization in FMDV serotype O.
Authors: Makau, Dennis N.1,2 (AUTHOR) dmakau@utk.edu, Arzt, Jonathan3 (AUTHOR), VanderWaal, Kimberly2 (AUTHOR)
Source: PLoS Computational Biology. 9/17/2025, Vol. 21 Issue 9, p1-15. 15p.
Database: Academic Search Ultimate
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  Data: Opportunities for machine learning to predict cross-neutralization in FMDV serotype O.
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  Data: <searchLink fieldCode="JN" term="%22PLoS+Computational+Biology%22">PLoS Computational Biology</searchLink>. 9/17/2025, Vol. 21 Issue 9, p1-15. 15p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=188018552
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        Value: 10.1371/journal.pcbi.1013491
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        Text: English
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      – TitleFull: Opportunities for machine learning to predict cross-neutralization in FMDV serotype O.
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