Artificial intelligence identifying new potentially deadly COVID-19 variants | Health

Retrieved on: 2024-03-12 08:29:59

Tags for this article:

Zoonoses

Bioinformatics

Virology

Avian influenza

GISAID

Influenza A virus subtype H5N1

Variants of SARS-CoV-2

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Artificial intelligence identifying new potentially deadly COVID-19 variants | Health. View article details on HISWAI: https://www.morgancountycitizen.com/local/health/artificial-intelligence-identifying-new-potentially-deadly-covid-19-variants/article_c36bd1ed-d7f4-54e0-ad1b-230d8660b34e.html

Summary

The article highlights Dr. Roberto Cahuantzi's research on COVID-19 variants, using machine learning to analyze patterns in zoonotic diseases like influenza and SARS-CoV-2, applying bioinformatics to virology, specifically concerning GISAID data on H5N1 and SARS-CoV-2 variants.

Article found on: www.morgancountycitizen.com

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