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

Fanos V.
Ultimo
2022-01-01

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.
2022
Inglese
33
27
86
88
3
Esperti anonimi
scientifica
OMICS technologies
SARS-CoV-2
biomarkers
machine learning
viral spread
Artificial Intelligence
Humans
Machine Learning
Metabolomics
Pandemics
SARS-CoV-2
COVID-19
no
Bardanzellu, F.; Fanos, V.
1.1 Articolo in rivista
info:eu-repo/semantics/article
1 Contributo su Rivista::1.1 Articolo in rivista
262
2
open
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