This clinical trial focuses on testing the efficacy of different digital interventions to promote re-engagement in cancer-related long-term follow-up care for adolescent and young adult (AYA) survivors of childhood cancer.
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.
A Prospective Registry for Patients at High-Risk for Pancreatic Cancer
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
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Sponsor: Mayo Clinic
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.