Sustaining a cancer imaging informatics center powered by AI and open tools
Official title: Sustaining the Integrative Imaging Informatics for Cancer Research (I3CR) Center
Funded at Washington University · NIH-11601014 · Data updated 2026-11-12
A national cancer imaging center is being kept running and expanded to help researchers manage huge imaging data, create consistent annotations, and run scalable AI workflows.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Washington University NIH-funded |
| Lab location | 1 site (Saint Louis, United States) |
| Project start | April 6, 2021 |
| Project end | March 31, 2027 |
| Funding year | 2026 |
| Award (this year) | $375,000 |
| NIH project number | 3U24CA258483-05S1 |
| Project ID | NIH-11601014 on NIH RePORTER |
Who could benefit from this research
✓Could help
Patients whose care involves cancer imaging studies and who may later benefit from advances in imaging informatics and data-driven decision support.
✕Less likely to help
Direct clinical benefit may be limited for individuals not participating in imaging studies or ongoing trials that use the center's tools.
What this research studies
If you have cancer or care for someone with cancer, this effort focuses on keeping a leading imaging informatics platform (XNAT) and its AI-powered tools available and up-to-date so researchers can analyze large datasets, share data across sites, and speed up discoveries. The project emphasizes extending open-source software, managing data processing steps, and orchestrating container-based workflows to ensure reliable and scalable analysis. This means clinicians and researchers could benefit from faster, more reproducible imaging studies that may translate to better diagnostics and treatment planning in the future. The center has a track record of wide adoption in academia and industry, and this next phase aims to broaden access and sustain the technology long-term.
Why it matters
Potential benefit: Could accelerate cancer imaging research and translation by providing robust, scalable tools and data workflows.
How similar studies have gone: XNAT and related imaging informatics platforms have been widely adopted and proven useful in multi-site studies and clinical trials.
Where this research is happening
-
Washington University
Saint Louis, United States Active
Researchers
- Principal investigator: Marcus, Daniel Scott — Washington University
- Study coordinator: Marcus, Daniel Scott
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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.