Publications by authors named "J R Huie"

Traumatic brain injury (TBI) has long been a leading cause of death and disability, yet research has failed to successfully translate findings from the pre-clinical, animal setting into the clinic. One factor that contributes significantly to this struggle is the heterogeneity observed in the clinical setting where patients present with injuries of varying types, severities, and comorbidities. Modeling this highly varied population in the laboratory remains challenging.

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Effective team science requires procedural harmonization for rigor and reproducibility. Multicenter studies across experimental modalities (domains) can help accelerate translation. The Translational Outcomes Project in NeuroTrauma (TOP-NT) is a pre-clinical traumatic brain injury (TBI) consortium charged with establishing and validating noninvasive TBI assessment tools through team science.

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Data interoperability is crucial for effectively combining data for scientific inquiry. To facilitate interoperability, data standards such as a common definition of variables are often developed. The Open Data Commons for Spinal Cord Injury (odc-sci.

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Background: Contemporary surgical practices for traumatic brain injury (TBI) remain unclear. We describe the clinical profile of an 18-centre US TBI cohort with cranial surgery.

Methods: The prospective, observational Transforming Research and Clinical Knowledge in Traumatic Brain Injury Study (2014-2018; ClinicalTrials.

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Article Synopsis
  • - The complex nature of spinal cord injury (SCI) creates challenges for translating research into practical treatments, leading to a need for advanced data science solutions to manage diverse injury data and outcomes.
  • - To address privacy concerns with sensitive data, a Private Data Commons for SCI (PDC-SCI) has been developed, enabling secure, organized data sharing among researchers for collaborative studies.
  • - An example of PDC-SCI in action is demonstrated through the VA Gordon Mansfield SCI Consortium, which integrates various data types to enhance research insights and knowledge discovery in SCI.
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