Improving cancer imaging through advanced informatics tools
Sustaining the Integrative Imaging Informatics for Cancer Research (I3CR) Center
This study is working on using smart computer tools to make cancer imaging better, which will help doctors take care of patients more effectively.
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 ID | NIH-11063163 on NIH RePORTER |
What this research studies
This research focuses on enhancing cancer imaging by developing advanced informatics tools that utilize artificial intelligence (AI) to manage large data sets and improve patient care. The Integrative Imaging Informatics for Cancer Research (I3CR) Center is working to expand the widely used XNAT platform, which supports various cancer imaging workflows. By creating better tools for data processing and analysis, the project aims to facilitate the use of AI in cancer research and clinical settings, ultimately benefiting patients through improved imaging techniques.
Who could benefit from this research
Good fit: Ideal candidates for this research are patients undergoing cancer imaging procedures or participating in clinical trials related to cancer treatment.
Not a fit: Patients who are not involved in cancer imaging or do not have a cancer diagnosis may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate and efficient cancer imaging, improving diagnosis and treatment options for patients.
How similar studies have performed: Other research has shown success in using AI and informatics tools to enhance cancer imaging, indicating that this approach is promising and builds on existing advancements.
Where this research is happening
Saint Louis, United States
- Washington University — Saint Louis, United States (Active)
Researchers
- Principal investigator: Marcus, Daniel Scott — Washington University
- Study coordinator: Marcus, Daniel Scott
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.