Using AI to detect pancreatic cancer early
Multimodal AI Fusion Model for Early Detection for Pancreatic Cancer
This study is testing a new tool that uses CT scans and other health information to help find pancreatic cancer early, even in people who don’t have any symptoms yet, and it aims to make sure it works well for everyone, no matter their background.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Mayo Clinic Arizona NIH-funded |
| Lab location | 1 site (Scottsdale, United States) |
| Project ID | NIH-10857089 on NIH RePORTER |
What this research studies
This research focuses on developing a new model called PRECISE that combines imaging data from CT scans with other clinical information to improve early detection of pancreatic cancer. By utilizing advanced deep learning techniques, the project aims to identify pre-cancerous changes in patients who currently show no symptoms. The model will also ensure that it works fairly across different demographic groups, addressing potential biases in detection. The research will validate its findings using data from reputable institutions like Mayo Clinic and Cornell University.
Who could benefit from this research
Good fit: Ideal candidates for this research are asymptomatic individuals at risk for pancreatic cancer, particularly those with factors like age, obesity, or diabetes.
Not a fit: Patients who are already diagnosed with pancreatic cancer or those with advanced disease may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to earlier diagnosis of pancreatic cancer, significantly improving treatment outcomes and survival rates.
How similar studies have performed: Previous research has shown promise in using imaging biomarkers for cancer detection, suggesting that this approach could be effective.
Where this research is happening
Scottsdale, United States
- Mayo Clinic Arizona — Scottsdale, United States (Active)
Researchers
- Principal investigator: Banerjee, Imon — Mayo Clinic Arizona
- Study coordinator: Banerjee, Imon
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.