A new machine learning algorithm has shown that routine blood tests performed in hospitals could help doctors predict the severity and potential outcomes of spinal cord injuries (SCI), according to a recent study by researchers at the University of Waterloo, Canada. The research, published in npj Digital Medicine , analyzed blood test results taken over time to discover a method that could accurately predict mortality risk, injury presence, and severity, sometimes as early as 24 hours after hospital admission.

“Routine blood tests could offer doctors important and affordable information to help predict risk of death, the presence of an injury and how severe it might be,” said senior author Abel Torres-Espín, PhD, a professor in Waterloo’s School of Public Health Sciences.

For their

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