https://www.selleckchem.com/products/AZD6244.html
The method applied for COVID-19 diagnosis showed specificity 96% and sensitivity 83%, and specificity 80% and sensitivity 85% during risk assessment, both from blinded data. Our method introduced a new approach for COVID-19 screening, providing the indirect detection of infection through metabolites and contextualizing the findings with the disease's pathophysiology. The pairwise analysis of biomarkers brought robustness to the model developed using machine learning algorithms, transforming this screening approach in a t
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