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A Machine Learning Approach to Understanding the Genetic Role in COVID-19 Prognosis: The Influence of Gene Polymorphisms Related to Inflammation, Vitamin D, and ACE2.

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Title: A Machine Learning Approach to Understanding the Genetic Role in COVID-19 Prognosis: The Influence of Gene Polymorphisms Related to Inflammation, Vitamin D, and ACE2.
Authors: Jaurrieta-Largo, Sofía1 (AUTHOR), Miramontes-González, José Pablo2,3 (AUTHOR), Corral-Gudino, Luis2,3 (AUTHOR) luis.corral@uva.es, Gabella-Martín, Miriam2,4 (AUTHOR), Pérez-Arroyo, Sofía2,5 (AUTHOR), Torres, Ana M.4,5,6 (AUTHOR), Mateo, Jorge4,5,7 (AUTHOR), Pérez-Castrillón, José Luis1,2,3 (AUTHOR), Usategui-Martín, Ricardo2,6,7 (AUTHOR) ricardo.usategui@uva.es
Source: International Journal of Molecular Sciences. Aug2025, Vol. 26 Issue 16, p7975. 15p.
Database: Academic Search Ultimate
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  Data: A Machine Learning Approach to Understanding the Genetic Role in COVID-19 Prognosis: The Influence of Gene Polymorphisms Related to Inflammation, Vitamin D, and ACE2.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Molecular+Sciences%22">International Journal of Molecular Sciences</searchLink>. Aug2025, Vol. 26 Issue 16, p7975. 15p.
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              Text: Aug2025
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