Overview

This study aims to facilitate discovery and validation of tests for early detection in subjects at high risk for pancreatic ductal adenocarcinoma (PDAC) and to facilitate the use of state-of-the-art machine learning-based algorithms that utilize databases and images with the purpose of identifying early stages of pancreatic cancer, as well as people at high-risk.The study also aims to provide a platform for development of an interventional protocol for early detection of PDAC.

Eligibility

Inclusion Criteria:

• Age ≥ 18 year
• Able to provide written informed consent
• Meets criteria as a High-Risk Individual as defined by protocol

Exclusion Criteria:

• Individual who has a personal history of pancreatic ductal adenocarcinoma (PDAC)
• History of total pancreatectomy