Johns Hopkins University: JHU researchers to use machine learning to predict heart damage in COVID-19 victims

Johns Hopkins University: JHU researchers to use machine learning to predict heart damage in COVID-19 victims. “Johns Hopkins researchers recently received a $195,000 Rapid Response Research grant from the National Science Foundation to, using machine learning, identify which COVID-19 patients are at risk of adverse cardiac events such as heart failure, sustained abnormal heartbeats, heart attacks, cardiogenic shock and death. Increasing evidence of COVID-19’s negative impacts on the cardiovascular system highlights a great need for identifying COVID-19 patients at risk for heart problems, the researchers say. However, no such predictive capabilities currently exist.”

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