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

NCT07030998 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 150

Last updated 2025-11-17

No results posted yet for this study

Summary

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

Conditions

Interventions

DEVICE

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

Sponsors & Collaborators

  • Murdoch Childrens Research Institute

    lead OTHER

Eligibility

Min Age
5 Years
Max Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-10-15
Primary Completion
2027-08-31
Completion
2027-12-31

Countries

  • Australia

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07030998 on ClinicalTrials.gov