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Use of Wearables to Detect Infections in Kidney Transplant Recipients

NCT06364618 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 200

Last updated 2024-04-15

No results posted yet for this study

Summary

The goal of this observational study is to develop a machine learning algorithm for early detection of infections in kidney transplant recipients using data recorded by wearable digital health technologies.

The main questions it aims to answer are:

1. What are the biometric data pattern changes in impending infections?
2. What accuracy the machine learning algorithm can achieve?

Participants will be given/use their own wearable device that will record biometric data. Any infection event will be recorded and an algorithm will be trained to recognize changes in biometric data preceding symptomatic infection.

Conditions

  • Kidney Transplant Infection

Sponsors & Collaborators

  • Institute for Clinical and Experimental Medicine

    lead OTHER_GOV

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-09-01
Primary Completion
2026-12-31
Completion
2027-12-31

Countries

  • Czechia

Study Locations

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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 NCT06364618 on ClinicalTrials.gov