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.

ABOUT THIS TEAM’S RESEARCH

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.

MEET THE TEAM

The top scientists and researchers on the Identifying Individuals at High Risk of Pancreatic Cancer through Machine Learning Analysis of Clinical Records and Images Research Team come from a variety of backgrounds and disciplines, which leads them to great insights upon collaboration. Learn more about the Identifying Individuals at High Risk of Pancreatic Cancer through Machine Learning Analysis of Clinical Records and Images Research Team.

Research Team Members

Chris Sander, PhD
Dana-Farber Cancer Institute
Leader

Regina Barzilay, PhD
Massachusetts Institute of Technology
Co-leader

Peter Kraft, PhD
Harvard School of Public Health
Principal

Michael Rosenthal, MD, PhD
Dana-Farber Cancer Institute
Principal

Brian Wolpin, MD, PhD
Dana-Farber Cancer Institute
Principal

Lauren Brais
Dana-Farber Cancer Institute
Project Manager

TEAM PROGRESS UPDATES

Stand Up To Cancer’s research projects are designed to foster collaborative, swift translational research. The hallmarks of these efforts include rigorous application and selection procedures, sufficient funding to allow scientists to focus on the objectives of the grant, and six-monthly reviews by senior scientists. These reviews help the investigators capitalize on the latest findings, address potential roadblocks, and collaboratively evolve as the science requires. For the Identifying Individuals at High Risk of Pancreatic Cancer through Machine Learning Analysis of Clinical Records and Images Research Team, please click on the link to see summaries of their research results so far.

TEAM PROGRESS UPDATES

PUBLICATIONS

This team started its work in March 2019; links to publications will be posted when they are available.

CLINICAL TRIALS REFERRALS

Cancer clinical trials allow researchers to study innovative and potentially life-saving new treatments. The goal is to find treatments that are better than what’s currently available; in fact, the therapies offered to today’s cancer patients were almost all studied and made possible by people participating in clinical trials. But many cancer clinical trials aren’t completed because not enough people take part.

At StandUpToCancer.org/ClinicalTrials, you’ll find information and answers to common questions about clinical trials. Learn more and talk to your doctor to see if a clinical trial may be the best choice for you.

You can also connect with EmergingMed, a free and confidential clinical trial matching service that provides access to a vast database to help you identify the clinical trials that might be right for you or your loved one.

LEARN MORE

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