Metabolomics, Microbiomics, Machine learning during the COVID-19 pandemic.
Pediatr Allergy Immunol
; 33 Suppl 27: 86-88, 2022 01.
Article
en En
| MEDLINE
| ID: mdl-35080309
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.
Palabras clave
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
COVID-19
Tipo de estudio:
Prognostic_studies
/
Risk_factors_studies
/
Screening_studies
Límite:
Humans
Idioma:
En
Revista:
Pediatr Allergy Immunol
Asunto de la revista:
ALERGIA E IMUNOLOGIA
/
PEDIATRIA
Año:
2022
Tipo del documento:
Article
País de afiliación:
Italia