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.
The purpose of this research is to detect episodes of rejection versus non-rejection after cardiac transplant and the diagnostic accuracy of an Artificial Intelligence (AI) algorithm using the data from an ECG (electrocardiogram) and Cardiac Ultrasound (Echocardiogram and/or point of care ultrasound).
Outcome Reflection for Immune Mediated Rejection by Utilizing Artificial Intelligence in Cardiac Transplant Patients Through Early and Late Echocardiographic Analysis (ORACLE)
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.