Pediatrics

This study tests whether a machine learning model can predict which children admitted to the hospital will need a medication that requires genetic testing. The goal is to offer the test earlier, so doctors can pick the safest drug or dose. The trial will involve 275 children aged…

This study examines how common cardiac autonomic neuropathy (nerve damage affecting the heart) is in children and teens with type 1 diabetes. Researchers will monitor 75 participants using heart tests and check if longer diabetes duration or poor blood sugar control raises the ri…

This study is testing a mobile app called CHAMP that lets parents of children with complex congenital heart disease enter health data and upload photos or videos from home. The goal is to see if the app helps doctors monitor the child's condition remotely and improve communicatio…

This study looks at whether children with anemia take longer to recover from diabetic ketoacidosis (DKA), a serious diabetes complication. Researchers will review medical records of 150 children aged 1 to 18 who had DKA at one hospital. They will compare recovery times and hospit…

This study tests a computer program called SIGHT that uses information already in a child's medical records to predict if they might have an undiagnosed genetic disease. Researchers will randomly assign 1,000 children visiting their pediatrician to either have their doctor receiv…