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 will look to validate predictive algorithms developed in a previous study where we collected relevant data from trauma registry and after using advanced signal-processing and machine-learning, determined prediction scores regarding neuroworsening and other outcomes following traumatic brain injury.
Real Time Vital Sign Assessment to Predict Neurological Decline After Traumatic Brain Injury (RAPID-TBI)
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: University of Maryland, Baltimore
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.