Covid-19 Automated Diagnosis and Risk Assessment through Metabolomics and Machine Learning.

ABSTRACT: COVID-19 is still placing a heavy health and financial burden worldwide. Impairment in patient screening and risk management plays a fundamental role on how governments and authorities are directing resources, planning reopening, as well as sanitary countermeasures, especially in regions where poverty is a major component in the equation. An efficient diagnostic method must be highly accurate, while having a cost-effective profile. We combined a machine learning-based algorithm with mass spectrometry to create an expeditious platform that discriminate COVID-19 in plasma samples within minutes, while also providing tools for risk assessment, to assist healthcare professionals in patient management and decision-making. A cross-sectional study enrolled 815 patients (442 COVID-19, 350 controls

SUBMITTER: Delafiori J 

PROVIDER: S-EPMC8023531 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature