A new study published in the journal npj digital medicine suggests that routine hospital blood tests could be used to accurately predict injury severity and even mortality outcomes in patients with spinal cord injuries . The study used machine learning to analyze millions of data points from standard bloodwork, offering a potentially affordable and accessible tool for improving early diagnosis and critical care decision-making.

Spinal cord injuries affect more than 20 million people globally, with nearly a million new cases occurring each year. These injuries are difficult to assess in emergency settings, as early neurological examinations often rely on patient responsiveness, which can be compromised. This variability in presentation complicates both prognosis and treatment decisio

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