Using AI to improve CAR T cell therapies for cancer treatment
Official title: Multimodal AI modeling of T cell therapies to predict patient response and nominate advanced cell design strategies
Funded at Stanford University · NIH-11091353 · Data updated 2026-11-12
This study is working on smart technology that helps doctors understand how well different patients might respond to CAR T cell therapy for cancer, so they can create personalized treatment plans that are safer and more effective.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Stanford University NIH-funded |
| Lab location | 1 site (Stanford, United States) |
| Project start | January 23, 2025 |
| Project end | January 22, 2026 |
| Funding year | 2025 |
| Award (this year) | $1,673,650 |
| NIH project number | 1OT2OD038101-01 |
| Project ID | NIH-11091353 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are patients undergoing CAR T cell therapy for cancer.
✕Less likely to help
Patients who are not receiving CAR T cell therapy or those with conditions not related to cancer may not benefit from this research.
What this research studies
This research aims to develop advanced artificial intelligence platforms that can predict how well patients will respond to CAR T cell therapies, a type of cancer treatment. By analyzing various data sources, including molecular profiles and tumor characteristics, the project seeks to create personalized treatment plans that enhance the effectiveness and safety of these therapies. The research will also explore the tumor microenvironment to identify challenges that CAR T cells face, ultimately leading to better-designed therapies. A diverse team of experts will ensure that ethical considerations are addressed throughout the project.
Why it matters
Potential benefit: If successful, this research could lead to more effective and personalized CAR T cell therapies for cancer patients.
How similar studies have gone: Other research has shown promise in using AI to enhance cancer therapies, indicating that this approach could be effective.
Where this research is happening
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Stanford University
Stanford, United States Active
Researchers
- Principal investigator: Mackall, Crystal — Stanford University
- Study coordinator: Mackall, Crystal
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.