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Severe traumatic brain injury (TBI) is associated with a 20-30% mortality rate and significant disability among most survivors. The Centers for Disease Control and Prevention (CDC) estimate that 2% of the U.S. population lives with disabilities directly attributable to TBI, with annual costs exceeding $76.5 billion. Current treatments are largely ineffective because they are instituted after irreversible damage has already occurred. By the time intracranial pressure (ICP) increases or brain tissue oxygen tension (PbtO2) decreases to harmful levels, it is often too late to reverse or repair the damage. A computerized method has been developed that can predict these injurious events ahead of time, allowing clinicians to intervene before further damage occurs. The goal of this proposal is to test these predictions in real time. The first phase of the project (Year 1) involves setting up t
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