Using AI to improve imaging of tissue molecular differences over time
AI enhanced lifetime-based mesoscopic in vivo imaging of tissue molecular heterogeneity
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 ID | NIH-11086632 on NIH RePORTER |
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.
Who could benefit from this research
Good fit: Ideal candidates for this research are patients with HER2-positive breast cancer who are undergoing treatment with trastuzumab.
Not a fit: Patients with conditions unrelated to HER2-positive breast cancer or those not receiving antibody-based therapies may not benefit from this research.
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 performed: 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
Troy, United States
- Rensselaer Polytechnic Institute — Troy, United States (Active)
Researchers
- Principal investigator: Intes, Xavier — Rensselaer Polytechnic Institute
- Study coordinator: Intes, Xavier
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 below.