University of Colorado Anschutz Medical Campus

Rady Center of Excellence Research Interest Group

The establishment of the Katy O. and Paul M. Rady Esophageal and Gastric Center of Excellence will further elevate the CU Cancer Center among the country's top cancer research and care destinations. The center will enable physicians and researchers to explore new treatment approaches and provide valuable resources needed to drive advancements in the prevention, detection, and treatment of esophageal and gastric disorders.

By taking part in this research interest group, you will join a multidisciplinary and highly collaborative team focused on esophageal and gastric research and treatment.

Esophageal and Gastric Center of Excellence members will be added to an email list to receive information on funding opportunities, news, and notifications, as well as invitations to the monthly research meetings.

IF YOU ARE INTERESTED IN JOINING,PLEASE FILL OUT THE FOLLOWING FORM:

MEMBER SIGN UP FORM

Monthly Meetings:

In person or virtual
Collaboration with individuals and departments across campus
Presentations from members sharing their work and ideas
Discuss funding opportunities through research grants and other mechanisms

University of Colorado Cancer Center Campus

Questions?

Feel free to email

Madeline.taylor@cuanschutz.edu or Jessica.dry@cuanschutz.edu

Research Goals:

Expand clinical research, clinical trials and investigator-initiated trials
Establish a laboratory to identify blood and tissue markers associated with Barrett’s esophagus, progression of Barrett’s esophagus to Esophageal Cancer and outcomes in patients with established esophageal cancer.
Novel immunologic therapies for Esophageal and Gastric Cancer and studies addressing chemoradiation protocols to improve survival in patients with established Esophageal Cancer
Expand the existing Paul O’Hara Esophageal Biorepository. Add collection of gastric specimens to the existing biorepository that includes patients with Barrett’s esophagus and esophageal adenocarcinoma.
Establish an Artificial Intelligence and Mathematics Program. Focusing on novel diagnostic tools for early detection of esophageal and gastric cancer during endoscopy using AI-based endoscopy platforms and machine learning predictive models to support a virtual population health management platform