Exploring metabolic anomalies in COVID-19 and post-COVID-19: a machine learning approach with explainable artificial intelligence

Overview of attention for article published in Frontiers in Molecular Biosciences, September 2024

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A study conducted in Mexico City analyzed 142 COVID-19, 48 Post-COVID-19, and 38 control patients. Using machine learning, it identified metabolic disruptions in COVID and Post-COVID patients, especially in taurine and glutamine levels. https://t.co/cla

24 Sep 2024

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Exploring Metabolic Anomalies in COVID-19 and Post-COVID-19: A Machine Learning Approach with Explainable Artificial Intelligence https://t.co/h7B1GqpFRe #MyLongCovidAdvocacy #LongCovid

21 Aug 2024

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