Using models and data to improve cancer diagnosis
Modeling and analytics for cancer diagnostics: traversing the data-evidence divide
['FUNDING_OTHER'] · FRED HUTCHINSON CANCER CENTER · NIH-11192761
This project uses computer models and data analysis to clarify how cancer tests affect outcomes for people facing screening and diagnosis.
Quick facts
| Phase | ['FUNDING_OTHER'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | FRED HUTCHINSON CANCER CENTER (nih funded) |
| Locations | 1 site (SEATTLE, UNITED STATES) |
| Trial ID | NIH-11192761 on ClinicalTrials.gov |
What this research studies
Researchers will combine mathematical models with statistical learning to link test accuracy to real-world health outcomes. They will use existing clinical, registry, and trial data to fill gaps where controlled studies are not available and to quantify uncertainty. The team will apply these methods to questions like overdiagnosis and screening strategies, including work relevant to prostate cancer and high-risk groups. The goal is to produce evidence that can inform clinical practice and policy when direct trial data are limited.
Who could benefit from this research
Good fit: People undergoing cancer screening or diagnostic testing, or those willing to share medical records or join registries, would be most relevant to this work.
Not a fit: Patients with rare cancers not represented in the available datasets or those not undergoing diagnostic testing may not receive direct benefit from this project.
Why it matters
Potential benefit: If successful, this work could lead to clearer guidance on which cancer tests help patients and reduce unnecessary follow-up and treatments.
How similar studies have performed: Related modeling and analytic approaches have previously informed screening guidelines and overdiagnosis estimates, so this builds on established methods.
Where this research is happening
SEATTLE, UNITED STATES
- FRED HUTCHINSON CANCER CENTER — SEATTLE, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: ETZIONI, RUTH D — FRED HUTCHINSON CANCER CENTER
- Study coordinator: ETZIONI, RUTH D
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.
Conditions: Cancer Detection, Cancer Diagnostics, Cancer Patient, Cancers