Modeling how to better detect and control bladder cancer
Population Modeling of Bladder Cancer Detection and Control
This study is looking for better ways to find and treat bladder cancer, using new ideas and tools that could help people like you manage the condition more effectively.
Quick facts
| Grant type | U01 cooperative agreement |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Brown University NIH-funded |
| Lab location | 1 site (Providence, United States) |
| Project ID | NIH-10903850 on NIH RePORTER |
What this research studies
This research focuses on improving the detection and management of bladder cancer, which affects many individuals in the U.S. The team will utilize population modeling techniques to analyze various factors, including risk factors like chemical exposure and genetic abnormalities. By exploring novel biomarkers and treatments, such as immunotherapies and gene therapies, the research aims to enhance prevention and treatment strategies for bladder cancer. Patients may benefit from improved detection methods and more effective management options.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals at risk for bladder cancer due to factors like chemical exposure, smoking, or genetic predispositions.
Not a fit: Patients with non-bladder cancer-related conditions or those who do not have risk factors for bladder cancer may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more effective detection and management strategies for bladder cancer, potentially improving patient outcomes.
How similar studies have performed: Other research has shown promise in using population modeling and novel biomarkers to improve cancer detection and management, indicating a potential for success in this approach.
Where this research is happening
Providence, United States
- Brown University — Providence, United States (Active)
Researchers
- Principal investigator: Trikalinos, Thomas — Brown University
- Study coordinator: Trikalinos, Thomas
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.