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In This Study, the Sponsor Would Like to Collaborate with Institution and Investigator to Aggregate Participants Data and to Pilot Its Software Algorithm Using Machine Learning and Threshold Based Methods for Predicting Exacerbations and Deterioration Within a 60 Days Period Post-discharge

NCT06798688 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 20

Last updated 2025-01-29

No results posted yet for this study

Summary

In this study, the sponsor would like to collaborate with Institution and Investigator to aggregate participants data and to pilot its software algorithm using machine learning and threshold based methods for predicting exacerbations and deterioration within a 60 days period post-discharge.

Conditions

Interventions

DEVICE

A non-invasive cardio-respiratory sensor will be applied on the subjects to measure parameters to identify exacerbations

This Study aims to pilot software algorithms based on respiratory features and hemodynamics for predicting exacerbations on a total of 20 participants with COPD. The end-points of this Study includes the following: 1. To validate respiratory-based biomarkers in models to predict exacerbations - benchmarking to be done versus physician assess exacerbations, emergency department visits, hospitalizations and any other visit. 2. To validate level of compliance, drop-out rate and if additional measures are required to get participants to follow-on

Sponsors & Collaborators

  • Respiree Pte Ltd

    lead INDUSTRY

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-03-01
Primary Completion
2025-07-01
Completion
2025-07-01
FDA Device
Yes

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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 NCT06798688 on ClinicalTrials.gov