Using statistical and computer models to improve prostate cancer screening and diagnostics
Statistical modeling to support population and translational cancer research
This work uses advanced statistical and computer modeling to help make prostate cancer screening and diagnostic tests more accurate and useful for people affected by prostate cancer.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Fred Hutchinson Cancer Center NIH-funded |
| Lab location | 1 site (Seattle, United States) |
| Project ID | NIH-11171479 on NIH RePORTER |
What this research studies
From your perspective, the team provides biostatistical support and computer modeling to a multi-project prostate cancer program, helping link lab findings, clinical trials, and population studies. They build and test mathematical models to fill gaps in evidence and to understand how new diagnostic tools and multi-cancer early detection tests might perform in real populations. The group also leads a Data Modeling and Analytics Core that supports analysis plans, checks model assumptions, and estimates uncertainty so results are easier to interpret. Their role is mainly analytical and collaborative, working with clinicians, basic scientists, and public-health researchers to move findings toward better screening and policy decisions.
Who could benefit from this research
Good fit: Ideal participants are people with or at risk for prostate cancer, or individuals invited to join studies of new cancer diagnostic or screening tests supported by the program.
Not a fit: People without prostate cancer or those not eligible for related diagnostic or screening studies are unlikely to gain direct benefit from this specific work.
Why it matters
Potential benefit: If successful, this work could lead to more accurate screening and diagnostic strategies that detect cancer earlier while reducing unnecessary tests and procedures.
How similar studies have performed: Statistical and modeling methods have previously helped shape cancer screening guidelines and improve trial design, though applying these tools to multi-cancer early detection is relatively new and still being tested.
Where this research is happening
Seattle, United States
- Fred Hutchinson Cancer Center — Seattle, United States (Active)
Researchers
- Principal investigator: Gulati, Roman — Fred Hutchinson Cancer Center
- Study coordinator: Gulati, Roman
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.