Clinical Evidence

Our trials have collected over 2.5 million patient breaths over 10 years, which now drive our diagnostic AI algorithms

Grounded in robust science over 10 years, developed on a unique dataset

From research in

Primary Care

Secondary Care

With data from

Multiple ethnicities

All ages (5-96y)

Multiple countries

Control groups of healthy subjects

All major cardiorespiratory conditions

Key Completed Studies

2024

Completed

N-WATCH Phase 1

Early-stage longitudinal sudy evaluating the ease of use and efficacy of N-Tidal in suspected paediatric asthma

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

2022

Completed

Asthma Breathing Record Study (ABRS)

A longitudinal study in patients with severe asthma

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

2016

Completed

COPD Breathing Record Study (CBRS)

A longitudinal study in patients with severe COPD

clinicaltrials.gov

Ongoing & Upcoming Studies

2023

Ongoing

ENBED Study

Exploring novel biomarkers for emphysema detection

clinicaltrials.gov

2024

Ongoing

Lung-Tech Trial

Evaluation of novel asthma diagnostic technologies for integration into clinical practice

clinicaltrials.gov

2024

Ongoing

Beyond FRONTIER

A large 900 patient study evaluating N-Tidal Diagnose efficacy in early COPD diagnosis.

2025

Upcoming

N-WATCH Phase 2

A pivotal study of 420 paediatric patients to validate TidalSense's asthma diagnostic algorithms in children.

2025

Upcoming

CORMORANT

A large 500 patient study to evaluate the real-world efficacy of N-Tidal Diagnose in a primary care setting.

"TidalSense have shown enthusiasm not only for thoroughly validating the diagnostic performance of N-Tidal Diagnose with high quality studies like Beyond-FRONTIER, but also for better characterising the underlying physiology of the capnography waveform. They share the ambition of many respiratory physicians and physiologists of being able to detect COPD at an earlier stage than currently possible, and therefore open up the possibility of earlier intervention and better outcomes for patients."

Prof Mike Crooks

Hull/York NHS Trust,
COPD service lead

Recent Publications & Reports

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)

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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)

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Talker et al., 2024

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

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Broomfield et al., 2024

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

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Lim et al., 2023

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

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Broomfield et al., 2023

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

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Cardiorespiratory Diagnostic Study (CARES) study report

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Asthma Breathing Record Study (ABRS) report

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Supported by leading clinicians

"We have run several clinical studies with the N-Tidal on patients with severe asthma and other respiratory disorders. I believe that TidalSense's technologies have the potential to transform the way we diagnose and treat many of these respiratory conditions."

Prof. Anoop Chauhan, MBE
Director of Research and Innovation, Portsmouth Hospitals University NHS Trust

"60% to 70% of patients with COPD are undiagnosed and many are misdiagnosed or diagnosed late. This is a massive clinical problem. N-Tidal is a really exciting solution to this problem and if it becomes part of the annual physical, doctors will be able to monitor their patients more effectively and pick up early disease that may have been missed in the past. I think that N-Tidal's high patient acceptance and ease of use means that it's going to have a big effect clinically."

Prof. Scott T. Weiss
Professor of Medicine
Harvard Medical school