Using artificial intelligence to analyze clinical data for cancer treatment
Official title: Shared Resource Core 2: Clinical Artificial Intelligence Core
Funded at Dana-Farber Cancer Inst · NIH-10931449 · Data updated 2026-11-12
This study is using smart computer technology to look at medical information about cancer patients, helping doctors better understand tumors and how they differ from person to person, so they can improve care for everyone.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Dana-Farber Cancer Inst NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project start | September 19, 2023 |
| Project end | August 31, 2028 |
| Funding year | 2024 |
| Award (this year) | $123,249 |
| NIH project number | 5U54CA274516-02 |
| Project ID | NIH-10931449 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are patients diagnosed with diffuse midline glioma (DMG) or neuroblastoma, who are seeking advanced treatment options.
✕Less likely to help
Patients with cancers not included in the study, or those who are not undergoing treatment at participating institutions, may not benefit from this research.
What this research studies
This research focuses on leveraging artificial intelligence (AI) algorithms to analyze complex medical data, particularly for cancer patients. It aims to create a shared resource that supports large-scale analysis of clinical data, enabling non-invasive characterization of tumors and patient differences. The project will involve curating and annotating clinical data, developing AI pipelines for analyzing tumor characteristics, and ensuring that these methods are standardized and accessible for broader scientific use.
Why it matters
Potential benefit: If successful, this research could lead to more personalized and effective cancer treatments by improving our understanding of tumor behavior and patient responses.
How similar studies have gone: Other research has shown promising results using AI in medical data analysis, indicating that this approach has the potential for significant advancements in cancer treatment.
Where this research is happening
-
Dana-Farber Cancer Inst
Boston, United States Active
Researchers
- Principal investigator: Aerts, Hugo — Dana-Farber Cancer Inst
- Study coordinator: Aerts, Hugo
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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.