New methods to understand how cells move and behave in health and disease
Data-driven and science-informed methods for the discovery of biomedical mechanisms and processes
This study is looking at how cells behave, especially during diseases like COVID-19, using a new computer method to help us understand their movements and interactions better, which could lead to better treatments for patients.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Colorado NIH-funded |
| Lab location | 1 site (Boulder, UNITED STATES) |
| Project ID | NIH-10933389 on NIH RePORTER |
What this research studies
This research focuses on developing advanced computational methods to analyze and understand the complex behaviors of cells, particularly in the context of diseases like COVID-19. By utilizing a novel approach called Weak form Sparse Identification of Nonlinear Dynamics (WSINDy), the researchers aim to uncover the underlying mechanisms that drive cellular movement and interactions. This method allows for the analysis of noisy and sparse biomedical data, enabling the exploration of numerous hypotheses about cell behavior simultaneously. Patients may benefit from insights gained through this research, which could lead to improved treatments and understanding of infectious diseases.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals affected by infectious diseases, particularly those with COVID-19 or related conditions.
Not a fit: Patients with non-infectious diseases or those not affected by cellular movement disorders may not receive direct benefits from this research.
Why it matters
Potential benefit: If successful, this research could lead to breakthroughs in understanding cellular behaviors that are critical for developing new therapies for infectious diseases.
How similar studies have performed: Other research has shown success with data-driven approaches in various fields, but this specific application to biomedical data is relatively novel.
Where this research is happening
Boulder, UNITED STATES
- University of Colorado — Boulder, United States (Active)
Researchers
- Principal investigator: Bortz, David — University of Colorado
- Study coordinator: Bortz, David
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.