Clinical Evidence

Our trials have collected over 2.5 million patient breaths over 7 years, which now drive our diagnostic AI algorithms

0 % sensitivity for diagnosing COPD
0 % specificity for diagnosing COPD
0 % of patients say that N-Tidal is easy to use
0 patient safety events

Key Studies

2016

Completed

COPD Breathing Record Study (CBRS)

A longitudinal study in patients with severe COPD

clinicaltrials.gov

2018

Completed

General Breathing Record Study (GBRS)

A longitudinal study in patients with COPD, asthma, pneumonia, breathing pattern disorder, MND and heart failure

clinicaltrials.gov

2018

Completed

COPD Breathing Record Study 2 (CBRS2)

A follow-up longitudinal observational study in patients with severe COPD

clinicaltrials.gov

2022

Completed

Asthma Breathing Record Study (ABRS)

A longitudinal study in patients with severe asthma

clinicaltrials.gov

2022

Completed

Cardiorespiratory Diagnostic Study (CARES)

A 740 patient study across the UK in all conditions which can present with breathlessness and cough.

clinicaltrials.gov

2023

Recruiting

ENBED Study

Exploring novel biomarkers for emphysema detection

clinicaltrials.gov

2023

Recruiting

Lung-Tech Trial

Evaluation of novel asthma diagnostic technologies for integration into clinical practice

clinicaltrials.gov

Publications & Reports

Talker et al., 2023

This multi-study publication demonstrates 91% accuracy (AUC = 0.97) in diagnosing COPD, from a single N-Tidal recording

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Cardiorespiratory Diagnostic Study (CARES) study report

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Asthma Breathing Record Study (ABRS) report

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Altrip et al., 2019

This research demonstrated the ability to distinguish COPD patients from healthy individuals.

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Bate et al., 2018

This study demonstrated the ability of N-Tidal C to detect acute lung injury from the alpha angle region (P<0.01).

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Sylvester et al., 2017

This conference paper demonstrated changed waveform geometry in COPD patients in an early study.

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