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

Recruiting now

Conditions studied: Cancer, Infection, Digital Health, Wearable Devices

In brief

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

Key facts

Study ID

NCT07030998

Run by

Murdoch Childrens Research Institute

People needed

150

Starts

2025-10-15

Expected to finish

2027-12-01

Last updated by the study team

2025-11-17

Who can join

Age: 5 and older, up to 18. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• 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 guardian able to provide consent
• iPhone 8 or later (iOS must be up to date/updated at time of enrolment)
• At least 10MB of iPhone storage for WEARABLES app and data collection.
• Willing and able to wear a wearable device for a period of 4 weeks (during waking hours).
• Consent to data being shared to the WEARABLES app (owned by the research team).

You may not qualify if…

• <5 years of age.
• <16 years of age without guardian or parent consent.
• Aged 16-18 and unable to provide consent.
• Participant did not consent to wearing Apple Watch for a period of 4 weeks.

Where it is running

• The Royal Children's Hospital — Parkville, Victoria, Australia (enrolling)

Full record on ClinicalTrials.gov

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