Journal
NEUROTRAUMA REPORTS
Volume 3, Issue 1, Pages 217-223Publisher
MARY ANN LIEBERT, INC
DOI: 10.1089/neur.2022.0002
Keywords
assessment tools; biomarkers; epidemiology; human studies; traumatic brain injury
Categories
Funding
- Medical Research Future Fund Mission for Traumatic Brain Injury
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The AUS-TBI initiative aims to improve personalized care and treatment for individuals who have suffered a traumatic brain injury (TBI) by integrating various data sources. The project addresses key knowledge gaps by examining the impact of psychological, social, clinical, imaging, biomarker, and rehabilitation factors on long-term outcomes. With a consortium of national and international leaders and advanced data management systems, the initiative aims to create a comprehensive data resource to facilitate customization, prediction, and improvement of post-TBI outcomes.
Predicting and optimizing outcomes after traumatic brain injury (TBI) remains a major challenge because of the breadth of injury characteristics and complexity of brain responses. AUS-TBI is a new Australian Government-funded initiative that aims to improve personalized care and treatment for children and adults who have sustained a TBI. The AUS-TBI team aims to address a number of key knowledge gaps, by designing an approach to bring together data describing psychosocial modulators, social determinants, clinical parameters, imaging data, biomarker profiles, and rehabilitation outcomes in order to assess the influence that they have on long-term outcome. Data management systems will be designed to track a broad range of suitable potential indicators and outcomes, which will be organized to facilitate secure data collection, linkage, storage, curation, management, and analysis. It is believed that these objectives are achievable because of our consortium of highly committed national and international leaders, expert committees, and partner organizations in TBI and health informatics. It is anticipated that the resulting large-scale data resource will facilitate personalization, prediction, and improvement of outcomes post-TBI.
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