Using AI to predict pancreatic cancer risk in African Americans from CT scans
Official title: Predicting Pancreatic Ductal Adenocarcinoma PDAC Through Artificial Intelligence Analysis of Pre Diagnostic CT Images in African Americans
Funded at Cedars-Sinai Medical Center · NIH-11014899 · Data updated 2026-11-12
This study is using advanced computer technology to look at CT scans and help find out which African Americans might be at higher risk for pancreatic cancer in the next ten years, so that doctors can catch it early and improve treatment options.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Cedars-Sinai Medical Center NIH-funded |
| Lab location | 1 site (Los Angeles, United States) |
| Project start | September 1, 2021 |
| Project end | August 31, 2026 |
| Funding year | 2024 |
| Award (this year) | $224,726 |
| NIH project number | 3R01CA260955-04S1 |
| Project ID | NIH-11014899 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are African American individuals who may be at risk for pancreatic ductal adenocarcinoma.
✕Less likely to help
Patients who do not identify as African American or those who are not at risk for pancreatic cancer may not benefit from this research.
What this research studies
This research aims to enhance the prediction of pancreatic ductal adenocarcinoma (PDAC) risk specifically in African Americans by utilizing artificial intelligence (AI) to analyze pre-diagnostic CT images. The study focuses on identifying individuals at high risk for PDAC within the next decade, as early detection is crucial for effective treatment. By examining morphological features in CT scans, the research seeks to uncover patterns that may indicate the presence of early-stage cancer. The ultimate goal is to facilitate timely interventions that could significantly improve patient outcomes.
Why it matters
Potential benefit: If successful, this research could lead to earlier detection of pancreatic cancer in African Americans, potentially improving survival rates.
How similar studies have gone: Previous research has shown promise in using AI for cancer prediction, indicating that this approach could be effective in identifying high-risk individuals.
Where this research is happening
-
Cedars-Sinai Medical Center
Los Angeles, United States Active
Researchers
- Principal investigator: Li, Debiao — Cedars-Sinai Medical Center
- Study coordinator: Li, Debiao
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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.