Using advanced modeling to understand blood clotting related to inflammation in COVID-19
A deep learning-enhanced multiphysics and multiscale framework for predictive modeling of inflammation-induced thrombosis
This study is looking at how inflammation can cause blood clots in people with COVID-19 by examining blood samples, hoping to find clues that could help doctors treat patients more effectively.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Georgia NIH-funded |
| Lab location | 1 site (Athens, United States) |
| Project ID | NIH-11015825 on NIH RePORTER |
What this research studies
This research aims to develop a sophisticated modeling framework that utilizes deep learning to predict how inflammation can lead to blood clotting, particularly in patients with COVID-19. By analyzing blood samples, the study will focus on identifying circulating cell clusters as potential markers for disease severity and outcomes. The research will explore the mechanisms behind the formation of microthrombi, which are small blood clots that can cause serious complications in vital organs. This approach seeks to provide insights that could lead to timely therapeutic interventions for affected patients.
Who could benefit from this research
Good fit: Ideal candidates for this research include patients diagnosed with COVID-19 who are experiencing severe symptoms or complications related to blood clotting.
Not a fit: Patients with mild COVID-19 symptoms or those not diagnosed with COVID-19 may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could improve the understanding and management of blood clotting complications in patients with COVID-19 and similar inflammatory conditions.
How similar studies have performed: While the approach of using deep learning for predictive modeling in this context is innovative, similar studies have shown promise in understanding thrombosis in other inflammatory diseases.
Where this research is happening
Athens, United States
- University of Georgia — Athens, United States (Active)
Researchers
- Principal investigator: Li, He — University of Georgia
- Study coordinator: Li, He
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 below.