Clinical Evidence

Talker et al., 2024

Diagnosis of Asthma-COPD overlap syndrome (AUC=0.96) using N-Tidal (American Thoracic Society)

Awaiting online publication

Broomfield et al., 2024

Prediction of small airways disease in asthma using interpretable machine learning (American Thoracic Society)

Awaiting online publication

Talker et al., 2024

This multi-study publication demonstrates the ability for N-Tidal to diagnose all stages of COPD and identify disease severity (J COPD)

Lim et al., 2023

Research showing ability to predict smoking-related airway remodelling in COPD using N-Tidal (Thorax, British Thoracic Society)

Broomfield et al., 2023

Research showing accurate classification (AUC=0.91) of asthma, from a single N-Tidal recording (Thorax, British Thoracic Society)

Talker et al., 2023

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

Cardiorespiratory Diagnostic Study (CARES) study report

Asthma Breathing Record Study (ABRS) report

Altrip et al., 2019

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

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).

Sylvester et al., 2017

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