EurekAlert: COVID-19 Cell Fitness Marker Predicts Hospitalization and Mortality Risk

On October 18, 2021, EurekAlert published an article about a groundbreaking study led by Assistant Professor Rajan Gogna, which identified a cell fitness marker for predicting the severity of COVID-19 infections. The study revealed that the expression of 'flower proteins' on cell surfaces can indicate a cell's health status, enabling the prediction of hospitalization or death in COVID-19 patients with 78.7% to 93.9% accuracy. This innovative approach, integrating machine learning analysis, could significantly enhance early intervention strategies for high-risk COVID-19 patients.

For more detailed information, you can read the full article on EurekAlert.