Understanding how biological systems adapt to changing environments
Official title: Quantifying phenotypic adaptation of biological systems in dynamic environments
Funded at Texas Engineering Experiment Station · NIH-10941458 · Data updated 2026-11-12
This study is looking at how our immune system changes and adapts when fighting off COVID-19, using computer models and real patient data to help predict how diseases develop and how our bodies respond, all to improve care for patients like you.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Texas Engineering Experiment Station NIH-funded |
| Lab location | 1 site (College Station, United States) |
| Project start | September 1, 2024 |
| Project end | August 31, 2029 |
| Funding year | 2024 |
| Award (this year) | $358,063 |
| NIH project number | 1R35GM155458-01 |
| Project ID | NIH-10941458 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals affected by COVID-19 or cancers who are interested in understanding the biological mechanisms of their conditions.
✕Less likely to help
Patients with stable, non-dynamic conditions may not receive direct benefits from this research.
What this research studies
This research investigates the mechanisms by which biological systems, such as the immune response to COVID-19, adapt to dynamic environments. It aims to develop a computational framework that combines theoretical models with real-world data to track how these adaptations occur over time. By analyzing gene expression and sequencing data, the project seeks to validate models that can predict how diseases evolve and how the immune system responds. This work will involve close collaboration with clinical settings to ensure the findings are applicable to patient care.
Why it matters
Potential benefit: If successful, this research could lead to improved understanding and treatment strategies for diseases like COVID-19 and cancers by revealing how biological systems adapt.
How similar studies have gone: Other research has shown promise in using computational models to understand biological adaptation, indicating that this approach could yield valuable insights.
Where this research is happening
-
Texas Engineering Experiment Station
College Station, United States Active
Researchers
- Principal investigator: George, Jason — Texas Engineering Experiment Station
- Study coordinator: George, Jason
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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.