Improving cancer treatment using advanced data science and AI
Official title: Shared Resource Core 1: Molecular Data Science and Advanced Dosimetry
Funded at Dana-Farber Cancer Inst · NIH-11193570 · Data updated 2026-11-12
This study is looking at how certain childhood brain tumors and nerve tumors react to radiation treatment, using smart technology to find out why some tumors resist the therapy, so we can create better, more personalized treatment options for kids.
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) | $249,999 |
| NIH project number | 3U54CA274516-02S1 |
| Project ID | NIH-11193570 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are children diagnosed with diffuse midline gliomas or neuroblastoma.
✕Less likely to help
Patients with other types of cancers or those not undergoing radiation therapy may not benefit from this research.
What this research studies
This research focuses on enhancing our understanding of how pediatric tumors, specifically diffuse midline gliomas and neuroblastoma, respond to radiation therapy. By utilizing advanced data science techniques and artificial intelligence, the project aims to analyze the complex interactions within tumors and their microenvironments. The goal is to identify factors that contribute to radiation resistance and response, ultimately leading to more effective treatment strategies. Patients may benefit from improved therapeutic approaches tailored to their specific tumor characteristics.
Why it matters
Potential benefit: If successful, this research could lead to more effective radiation therapies for pediatric cancers, improving survival rates and quality of life for young patients.
How similar studies have gone: Previous research has shown promising results using data science and AI to improve cancer treatment outcomes, indicating that this approach has the potential for significant advancements.
Where this research is happening
-
Dana-Farber Cancer Inst
Boston, United States Active
Researchers
- Principal investigator: Michor, Franziska — Dana-Farber Cancer Inst
- Study coordinator: Michor, Franziska
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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.