Wearable Technology and Machine Learning for Early Detection and Risk Assessment of Unacceptable Toxicities in a Paediatric Oncology Cohort

Recruiting Observational Study
Cancer Infection Digital Health Wearable Devices
No Study Drug Researchers observe your health over time — no experimental treatment is given.
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At a Glance
Age
5 – 18
Sex
Any
Study type
Observational
Participants needed
150 (estimated)
Sponsor
Murdoch Childrens Research Institute · Other
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About This Trial

Data collection study to establish a predictive model of infection observed during childhood cancer therapy using data captured by wearable technology.

Trial Locations
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Eligibility Criteria
Inclusion Criteria: * Paediatric, adolescent or young adult diagnosis of cancer AND receiving therapy placing them at risk of infection * Receiving cancer treatment at The Royal Children's Hospital * Patients aged 5-18 years at time of the eligibility screening * If aged \< 16 years, parent or guar…
Contacts

Lane Collier

03 9936 6324

lane.collier@mcri.edu.au

CONTACT

A/Prof Rachel Conyers

03 9345 5522

rachel.conyers@rch.org.au

CONTACT