PCC AI Identifying Individuals - Stand Up To Cancer

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Pancreatic Cancer Collective Research Team: Computational Approaches To Identifying High-Risk Pancreatic Cancer Populations – Identifying Individuals at High Risk of Pancreatic Cancer through Machine Learning Analysis of Clinical Records and Images

Grant Term: May 2019 – April 2021

The goal of this team’s research is to develop a tool that uses advances in machine learning analysis of clinical records and images to identify patients with an elevated risk of pancreatic cancer.


This team will work to develop risk-assessment models that can identify high‐risk individuals for pancreatic cancer in the general population. Employing advanced machine learning techniques, the risk models will lead to a practical tool that can identify patients who are at elevated risk for pancreatic cancer and should receive additional screening. This will be accomplished by leveraging recent advances in machine learning technology and the availability of rich clinical records and images from large, diverse patient populations from several sources, including Henry Ford Health System, Partners HealthCare, and the Danish National Patient Registry.

This team is part of the Pancreatic Cancer Collective, an initiative of Lustgarten Foundation for Pancreatic Cancer Research and Stand Up To Cancer.


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