
The SARS-CoV-2 infections are still imposing a great public health challenge despite the recent developments in vaccines and therapy. The study developed a prognostic method for COVID-19 using the proteomic profile of saliva samples submitted to MALDI-TOF and machine learning algorithms to train models for COVID-19 severity assessment. Saliva is already reported to have high inter-sample variation; however, our results demonstrate that this approach has the potential to be a prognostic method for COVID-19.
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