# 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** · — · NOT_YET_RECRUITING · sponsor: **Respiree Pte Ltd** · enrollment: 20 (estimated)

## Conditions studied

- COPD

## Interventions

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

## Key facts

- **NCT ID:** NCT06798688
- **Lead sponsor:** Respiree Pte Ltd
- **Sponsor class:** INDUSTRY
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** NOT_YET_RECRUITING
- **Start date:** 2025-03-01
- **Primary completion:** 2025-07-01
- **Final completion:** 2025-07-01
- **Target enrollment:** 20 (ESTIMATED)
- **Last updated:** 2025-01-29


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT06798688

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT06798688, "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". Retrieved via AI Analytics 2026-06-30 from https://api.ai-analytics.org/clinical/NCT06798688. Licensed CC0.

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