Quantitative LC-MS study of compounds found predictive of COVID-19 severity and outcome. (2023)

First Author: Roberts I
Attributed to:  Untargeted metabolomics of serum samples during COVID-19 disease progression funded by COVID

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1007/s11306-023-02048-0

PubMed Identifier: 37853293

Publication URI: http://europepmc.org/abstract/MED/37853293

Type: Journal Article/Review

Volume: 19

Parent Publication: Metabolomics : Official journal of the Metabolomic Society

Issue: 11

ISSN: 1573-3882