EARLY: Investigating Early Signs and Developmental Course of Personality Disorders in Young People
Patch-IT: Multi-Sensor Nodes for Continuous Vital Sign Monitoring to Identify Novel Digital Biomarkers for Sepsis Detection in Neonatal Intensive Care
Electronic Clinical Decision Algorithms and Machine Learning to Improve Quality of Care and Clinical Outcomes for Sick Young Infants in Resource-Limited Countries
Digital Support Systems to Improve Child Health and Development in Low-Income Settings
ALEX: Design, Development and Evaluation of a Digital Health Assistant for Paediatric Asthma
NEO-SEPSIS: Early Detection of Neonatal Sepsis Using Clinical and Physiological Data
MULTIMODAL-HEALTH: Generalizable AI Models for Pediatric and Adult Clinical Applications
Using digital tools specifically tailored to the needs of children and adolescents, the BRCCH collects high-quality data to support the development and well-being of children and adolescents.
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