Using AI to detect pancreatic cancer earlier
Official title: Early Detection of Pancreatic Cancer with Human-in-the-Loop Deep Learning
Funded at Columbia University Health Sciences · NIH-11071955 · Data updated 2026-11-12
This study is working on using smart computer technology to help doctors find pancreatic cancer earlier by looking at patient health records, so that people can get better treatment sooner.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Columbia University Health Sciences NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project start | May 1, 2023 |
| Project end | April 30, 2028 |
| Funding year | 2025 |
| Award (this year) | $178,610 |
| NIH project number | 5K25CA267052-03 |
| Project ID | NIH-11071955 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals at high risk for pancreatic cancer, such as those with a family history or genetic predispositions.
✕Less likely to help
Patients with advanced-stage pancreatic cancer or those without risk factors for PDAC may not benefit from this research.
What this research studies
This research focuses on improving the early detection of pancreatic ductal adenocarcinoma (PDAC) by utilizing advanced deep-learning algorithms applied to Electronic Health Records (EHRs). The study aims to incorporate expert human knowledge into the AI training process, enhancing the model's accuracy and interpretability. By developing robust data processing pipelines, the research will analyze diverse data sources to create optimized deep learning applications. This approach seeks to identify PDAC at earlier stages, potentially leading to better patient outcomes.
Why it matters
Potential benefit: If successful, this research could significantly increase the early detection rates of pancreatic cancer, improving survival chances for patients.
How similar studies have gone: Previous research has shown success in using AI and deep learning for early cancer detection, indicating a promising potential for this approach.
Where this research is happening
-
Columbia University Health Sciences
New York, United States Active
Researchers
- Principal investigator: Park, Jiheum — Columbia University Health Sciences
- Study coordinator: Park, Jiheum
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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.