Computational imaging and molecular data modeling to track brain tumor recurrence
Official title: Quantitative imaging and molecular data modeling for brain tumor recurrence and progression analysis
Funded at Old Dominion University · NIH-11385904 · Data updated 2026-11-12
A computer-based approach uses AI and data from brain scans and molecular tests to help detect when glioblastoma may come back or change after treatment, with the goal of guiding better care.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Old Dominion University NIH-funded |
| Lab location | 1 site (Norfolk, United States) |
| Project start | June 1, 2016 |
| Project end | July 31, 2029 |
| Funding year | 2026 |
| Award (this year) | $562,652 |
| NIH project number | 5R01EB020683-06 |
| Project ID | NIH-11385904 on NIH RePORTER |
Who could benefit from this research
✓Could help
Adults with glioblastoma who have undergone standard therapy and are being followed clinically.
✕Less likely to help
Patients without GBM or those not undergoing follow-up imaging and molecular profiling may not benefit.
What this research studies
This project uses advanced AI models to analyze brain imaging and molecular data from adults with glioblastoma. By collecting and harmonizing data from multiple centers, researchers will segment tumor features and monitor recurrence, edema, and radiation effects over time. The aim is to create explainable AI methods that quantify uncertainty and provide clear, clinically useful insights for doctors and patients. The work will validate models against real patient data to ensure they reflect what happens in everyday care and support improved decision-making.
Why it matters
Potential benefit: If successful, patients could receive faster and more accurate predictions about tumor recurrence and progression, potentially guiding more timely and personalized treatments.
How similar studies have gone: Previous studies show promise for AI-assisted imaging analyses in brain tumors, but this project emphasizes robust validation and explainability across multiple datasets.
Where this research is happening
-
Old Dominion University
Norfolk, United States Active
Researchers
- Principal investigator: Iftekharuddin, Khan M — Old Dominion University
- Study coordinator: Iftekharuddin, Khan M
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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.