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.
Early childhood detection of motor delays or impairments provides the opportunity for early treatment which improves health outcomes. This study will use state of the art sensors combined with machine learning algorithms to develop objective, accurate, easy-to-use tools for the early scoring of deficits and lays the foundation for the early prediction of physical disability.
Automated Assessment of Neurodevelopment in Infants at Risk for Motor Disability
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 Pennsylvania
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.