Creating a model to improve treatment for severe bleeding after trauma
Official title: Development of a multi-scale closed loop model for hemorrhagic shock: a platform to assess REBOA performance
Funded at Texas Engineering Experiment Station · NIH-11177979 · Data updated 2026-11-12
This study is working on a new computer model to help doctors better manage severe bleeding after injuries, which could lead to better treatments for patients in emergencies.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Texas Engineering Experiment Station NIH-funded |
| Lab location | 1 site (College Station, United States) |
| Project start | August 1, 2022 |
| Project end | July 31, 2025 |
| Funding year | 2024 |
| Award (this year) | $67,516 |
| NIH project number | 3R01HL162633-03S1 |
| Project ID | NIH-11177979 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals who have suffered traumatic injuries leading to severe hemorrhagic shock.
✕Less likely to help
Patients with non-traumatic causes of bleeding or those who are not experiencing hemorrhagic shock may not benefit from this research.
What this research studies
This research focuses on developing a new computational model to better understand and manage hemorrhagic shock, a critical condition that can lead to death after traumatic injuries. By simulating the body's response to severe bleeding, the researchers aim to optimize the use of a technique called Resuscitative Endovascular Balloon Occlusion of the Aorta (REBOA), which helps control blood loss. The model will allow for testing different scenarios without the need for extensive animal studies, potentially speeding up the development of effective treatments. Patients may benefit from improved strategies for managing severe bleeding during emergencies.
Why it matters
Potential benefit: If successful, this research could lead to more effective treatments for patients experiencing severe bleeding, potentially saving lives.
How similar studies have gone: Previous research has shown promise in using computational models for similar medical challenges, indicating potential for success in this novel approach.
Where this research is happening
-
Texas Engineering Experiment Station
College Station, United States Active
Researchers
- Principal investigator: Rahbar, Elaheh — Texas Engineering Experiment Station
- Study coordinator: Rahbar, Elaheh
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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.