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Wearable Technology and Machine Learning for Early Detection and Risk Assessment of Unacceptable Toxicities in a Paediatric Oncology Cohort
Sponsor: Murdoch Childrens Research Institute
Summary
Data collection study to establish a predictive model of infection observed during childhood cancer therapy using data captured by wearable technology.
Official title: WEARABLES: Wearable Technology and Machine Learning for Early Detection and Risk Assessment of Unacceptable Toxicities in a Paediatric Oncology Cohort
Key Details
Gender
All
Age Range
5 Years - 18 Years
Study Type
OBSERVATIONAL
Enrollment
150
Start Date
2025-10-15
Completion Date
2027-12
Last Updated
2025-11-17
Healthy Volunteers
No
Interventions
Wearable Device
Wearable device to collect the following health metrics directly from participants for the duration of the study (4 weeks). Health metrics are collected every 15 minutes, except for the ECG which will be collected once per week. Data points: * ECG data (Once per week) * Exercise time * Body Temperature * Heart Rate * Irregular Heart Rhythm * Blood Oxygen Saturation * Respiratory Rate
Locations (1)
The Royal Children's Hospital
Parkville, Victoria, Australia