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. 2022 Jan;33 Suppl 27(Suppl 27):86-88.
doi: 10.1111/pai.13640.

Metabolomics, Microbiomics, Machine learning during the COVID-19 pandemic

Flaminia Bardanzellu  1 , Vassilios Fanos  1
Affiliations

Metabolomics, Microbiomics, Machine learning during the COVID-19 pandemic

Flaminia Bardanzellu et al. Pediatr Allergy Immunol. 2022 Jan.

Abstract

COVID-19 pandemic has a significant impact worldwide, from the point of view of public health, social, and economic aspects. The correct strategies of diagnosis and global management are still under debate. In the next future, we firmly believe that combining the so-called 3 M's (metabolomics, microbiomics, and machine learning [artificial intelligence]) will be the optimal, accurate tool for the early diagnosis of COVID-19 subjects, risk assessment and stratification, patient management, and decision-making. If the currently available preliminary data obtain further confirms, through future studies on larger samples, simple biomarkers will provide predictive models for data analysis and interpretation, allowing a step toward personalized holistic medicine.

Keywords: OMICS technologies; SARS-CoV-2; biomarkers; machine learning; viral spread.

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References

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