Improving baseline testing for sports-related concussions
Official title: Design, Analysis, and Optimization of Equitable and Value-based Baseline Testing Policies for Sports-Related Concussion
Funded at Georgia Institute of Technology · NIH-10812426 · Data updated 2026-11-12
This study is working on a new way to check how well athletes perform before they get a concussion, using smart technology to help make sure that student-athletes and military personnel get the best care possible when they need it.
Quick facts
| Grant type | R03 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Georgia Institute of Technology NIH-funded |
| Lab location | 1 site (Atlanta, United States) |
| Project start | April 1, 2023 |
| Project end | March 31, 2026 |
| Funding year | 2024 |
| Award (this year) | $44,264 |
| NIH project number | 5R03HS029422-02 |
| Project ID | NIH-10812426 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include student-athletes and military personnel who are at a higher risk for sports-related concussions.
✕Less likely to help
Patients who do not participate in sports or military activities may not benefit from this research.
What this research studies
This research aims to create a fair and effective method for baseline testing in sports-related concussions using advanced machine learning and systems science techniques. By analyzing data from a large consortium, the project seeks to identify the best practices for assessing athletes' normal performance before a concussion occurs. This is particularly important for high-risk groups like student-athletes and military personnel, as timely and accurate concussion management can significantly impact recovery. The study will also explore how to optimize testing processes in environments with limited resources.
Why it matters
Potential benefit: If successful, this research could lead to improved concussion management strategies that enhance recovery outcomes for athletes and military personnel.
How similar studies have gone: Other research has shown promise in using machine learning for health assessments, indicating potential success for this approach in concussion management.
Where this research is happening
-
Georgia Institute of Technology
Atlanta, United States Active
Researchers
- Principal investigator: Garcia, Gian-Gabriel — Georgia Institute of Technology
- Study coordinator: Garcia, Gian-Gabriel
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.