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How a bad day at work led to better COVID predictions News provided by Share this article Share this article COLD SPRING HARBOR, N.Y., May 3, 2021 /PRNewswire/ Talking about your bad day at work could lead to great solutions. Cold Spring Harbor Laboratory (CSHL) Associate Professor Saket Navlakha and his wife, Dr. Sejal Morjaria, an infectious disease physician at Memorial Sloan Kettering Cancer Center (MSK), found a way to predict COVID-19 severity in cancer patients. The computational tool they developed prevents unnecessary expensive testing and improves patient care. Machine learning can help sort through many variables to predict a patient’s COVID-19 symptom severity. Image: ©ChristianZ - stock.adobe.com

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