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.
Investigators hypothesize that premature newborns with poor cardiopulmonary performance have higher morbidities and poorer physical and cognitive developmental outcomes. Investigators further hypothesize that audible sounds combined with novel inaudible vibrations above and below human perception interpreted with transparent and auditable AI algorithms can detect and identify early gas and fluid movement anomalies not uncovered by conventional tools in an non-invasive, easy, fast, and low cost examination.
Passive Infrasound-to-ultrasound Vibrome Biosignatures of Lung Development in Newborn Infants
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: Level 42 AI, Inc.
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.