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:
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
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
Zachary Berk
Case Brennan
Justin Brumbaugh
Alexa Debord
Thomas Enke
Crystal Erickson
Jazmyne Gallegos
Sumaya Ghaffar
Kristin Herbst
Michaela Montour
Cindy O'Bryant
Joshua Pasek
MacKenzie Peery
Marvini Realiza
Carsten Schnatwinkel
Peter Tiley
Benjamin Ueberroth
Adrie van Bokhoven
Jillian Welker