Using AI to improve imaging of tissue molecular differences over time
Official title: AI enhanced lifetime-based mesoscopic in vivo imaging of tissue molecular heterogeneity
Funded at Rensselaer Polytechnic Institute · NIH-11086632 · Data updated 2026-11-12
This study is working on a new way to use advanced imaging and artificial intelligence to see how well cancer drugs work in real time, which could help improve treatments for breast cancer.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Rensselaer Polytechnic Institute NIH-funded |
| Lab location | 1 site (Troy, United States) |
| Project start | June 1, 2023 |
| Project end | May 31, 2028 |
| Funding year | 2025 |
| Award (this year) | $651,479 |
| NIH project number | 5R01CA271371-03 |
| Project ID | NIH-11086632 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are patients with HER2-positive breast cancer who are undergoing treatment with trastuzumab.
✕Less likely to help
Patients with conditions unrelated to HER2-positive breast cancer or those not receiving antibody-based therapies may not benefit from this research.
What this research studies
This research focuses on developing an advanced imaging platform that utilizes artificial intelligence to measure how drugs interact with their targets in living tissues. By providing real-time, non-invasive imaging, the study aims to track drug delivery and its effectiveness in treating conditions like breast cancer. The approach involves using deep learning techniques to enhance the imaging process, allowing for detailed 2D and 3D visualizations of drug-target engagement. This could lead to better understanding and optimization of antibody-based therapies.
Why it matters
Potential benefit: If successful, this research could lead to more effective treatments for patients by improving the way drug interactions are monitored and understood.
How similar studies have gone: Other research has shown promise in using advanced imaging techniques and AI for similar applications, indicating a potential for success in this novel approach.
Where this research is happening
-
Rensselaer Polytechnic Institute
Troy, United States Active
Researchers
- Principal investigator: Intes, Xavier — Rensselaer Polytechnic Institute
- Study coordinator: Intes, Xavier
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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.