Penn Experts Reveal New Data-Driven Machine Learning Method that Effectively Flags Risk for Post-Stroke Dangers

A team of experts in neurocritical care, engineering, and informatics, with the Perelman School of Medicine at the University of Pennsylvania, have devised a new way to detect which stroke patients may be at risk of a serious adverse event following a ruptured brain aneurysm.

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