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Machine learning model uses blood plasma proteins to predict survival for COVID-19 patients

A single blood sample from a critically ill COVID-19 patient can be analyzed by a machine learning model which uses blood plasma proteins to predict survival, weeks before the outcome, according to a new study published this week in the open-access journal PLOS Digital Health by Florian Kurth and Markus Ralser of the Charité – Universitätsmedizin Berlin, Germany, and colleagues.
Florian Kurth Markus Ralser Emily Henderson Digital Health Covid 19 Machine Learning

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