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.
Age ≥ 18 year
Able to provide written informed consent
Meets criteria as a High-Risk Individual as defined by protocol
Individual who has a personal history of pancreatic ductal adenocarcinoma (PDAC)
History of total pancreatectomy