NIH-funded research R01 grant

AI to find early signs of pancreatic cancer on routine CT scans

Official title: Predicting Pancreatic Ductal Adenocarcinoma (PDAC) Through Artificial Intelligence Analysis of Pre-Diagnostic CT Images

Funded at Cedars-Sinai Medical Center · NIH-11172502 · Data updated 2026-11-12

Uses artificial intelligence to look at routine abdominal CT scans and medical information to find people likely to develop pancreatic cancer within three years.

More Adenocarcinoma research and trials

Quick facts

Grant typeR01 grant
Study typeNIH-funded research
Funding institutionCedars-Sinai Medical Center
NIH-funded
Lab location1 site (Los Angeles, United States)
Project startSeptember 1, 2021
Project endAugust 31, 2026
Funding year2025
Award (this year)$875,504
NIH project number5R01CA260955-05
Project IDNIH-11172502 on NIH RePORTER

Who could benefit from this research

Could help

Ideal candidates are people who have prior abdominal CT scans available (for example after ER visits for abdominal pain) and who are concerned about pancreatic cancer risk.

Less likely to help

People without prior CT imaging available or those already diagnosed with pancreatic cancer are unlikely to benefit from this project.

What this research studies

You can have past abdominal CT scans and health information analyzed by AI to look for early signs of pancreatic cancer that radiologists might miss. The team trains computer models on scans from people who later developed pancreatic cancer to learn subtle changes that appear years before a diagnosis. If the AI flags you as high risk, your doctors could offer earlier follow-up imaging or tests. Because many people get CT scans for abdominal pain in the ER, the project can use images people already have on file.

Why it matters

Potential benefit: Could help detect pancreatic cancer earlier when surgery is possible, improving survival odds.

How similar studies have gone: AI tools have shown promise detecting subtle cancer signs in other organs, but using pre-diagnostic CT scans to predict pancreatic cancer is relatively new and still being tested.

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

Related research

Other NIH-funded projects on the same topics.

  • Investigating how a specific protein affects pancreatic cancer growth and spread

    This study is looking at a protein called RCC1 to see how it affects pancreatic cancer cells, with the hope that understanding its role could help develop new treatments for patients facing this tough disease.

    NIH research Wayne State University · Detroit, United States · NIH-11228868

  • Using AI to predict pancreatic cancer risk in African Americans from CT scans

    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.

    NIH research Cedars-Sinai Medical Center · Los Angeles, United States · NIH-11014899

  • Investigating how a specific protein affects pancreatic cancer growth

    This study is looking at how a protein called RCC1 affects the growth of pancreatic cancer, with the hope that understanding its role could help develop new treatments for patients facing this tough diagnosis.

    NIH research Wayne State University · Detroit, United States · NIH-10987453

  • Using AI to predict pancreatic cancer risk from CT scans

    This study is looking to use artificial intelligence to help spot people who might be at high risk for pancreatic cancer by analyzing CT scans and other information, so that doctors can catch the disease early and improve chances of survival.

    NIH research Cedars-Sinai Medical Center · Los Angeles, United States · NIH-10911178

  • Fibrin-rich tumor stroma as a new driver of immune response in pancreatic cancer

    This grant explores how fibrin-involved tumor surroundings in pancreatic cancer might affect immune therapy, with the goal of making treatments work better for patients.

    NIH research Utah State Higher Education System--University of Utah · Salt Lake City, United States · NIH-11455114

  • TREM2+ macrophages and liver metastases in pancreatic cancer

    Researchers are studying immune cells in liver metastases from pancreatic cancer to understand how they influence the cancer’s spread and more effective treatments.

    NIH research Washington University · Saint Louis, United States · NIH-11452084

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.