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DTSTAMP:20241017T183512Z
LOCATION:Harbor Ballrooms D-I
DTSTART;TZID=America/Los_Angeles:20241016T110000
DTEND;TZID=America/Los_Angeles:20241016T112000
UID:ncs_NCS 2024_sess125_ccrnt190@linklings.com
SUMMARY:The Evolving Classification of Traumatic Brain Injury: Modeling Ne
 w Endpoints
DESCRIPTION:Breakout Session\n\nH.E. Hinson (UCSF)\n\nClinicians and inves
 tigators in traumatic brain injury (TBI) have long divided TBI into mild/m
 oderate/severe strata despite substantial limitations of this approach to 
 classification. For example, "mild" TBI can be profoundly disabling, while
  individuals can fully recover after "severe" TBI. This talk will briefly 
 review the new TBI characterization scheme of Clinical/Biomarkers/Imaging/
 Modifiers which was introduce at a recent NIH-sponsored workshop, and offe
 r ways in which multimodal data can be integrated into predictive models o
 f disease-relevant endpoints, like progression of intracranial hemorrhage.
 \n\nTrack: Science of Neurocritical Care\n\nFocus Area: Informatics, Nursi
 ng Pharmacology, Traumatic Brain Injury\n\nTarget Audience: Introductory, 
 Advanced\n\nSession Chair: Molly McNett (The Ohio State University)
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