Yale researchers find a highly-accurate predictor of COVID-19 mortality through machine learning

The Multiscale PHATE tool, which was developed at Yale, “sweeps through all levels of data granularity to learn abstracted biological features directly predictive of disease outcome,” according to the study, which was co-authored by Manik Kuchroo, a doctoral candidate at Yale School of Medicine,

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, Manik Kuchroo , Patrick Wong , Jessie Huang , Yale School Of Medicine , Yale Department Of Computer Science , Nature Biotechnology , Yale New Haven Hospital , New Haven , Yale New Haven , Melanie Stengel , Yale School , Yale Department , Computer Science ,