53
Research Trials
20
Peer-reviewed publications
16
Clinical Conditions
At CHEST 2025, held in Chicago, Illinois, Laurie Slovarp, PhD, CCC-SLP, professor at the University of Montana and certified speech pathologist, presented a poster on the development of a digital therapeutic designed to improve access to behavioral cough suppression therapy for patients with refractory chronic cough.
A large-scale trial examining the effect of azithromycin on the relationship between oesophageal function and cough as evaluated by Hyfe's cough monitoring technology in respiratory disease is feasible and acceptable to patients.
This study used Hyfe's wearable cough monitor during a 7-day run in, 28-day treatment, and 14-day follow-up period in patients with chronic bronchitis.
Periods of intense coughing (termed bouts, epochs or bursts) are particularly problematic for some coughers and may not be reflected by simply counting the number of coughs per day. This study explored how varying the definition of bouts yield different impressions of cough severity.
Cough is a common and commonly ignored symptom of lung disease. Cough is often perceived as difficult to quantify, frequently self-limiting, and non-specific. However, cough has a central role in the clinical detection of many lung diseases including tuberculosis (TB), which remains the leading infectious disease killer worldwide. TB screening currently relies on self-reported cough which fails to meet the World Health Organization (WHO) accuracy targets for a TB triage test. Artificial intelligence (AI) models based on cough sound have been developed for several respiratory conditions, with limited work being done in TB.
To support the development of an accurate, point-of-care cough-based triage tool for TB, we have compiled a large multi-country database of cough sounds from individuals being evaluated for TB. The dataset includes more than 700,000 cough sounds from 2,143 individuals with detailed demographic, clinical and microbiologic diagnostic information. We aim to empower researchers in the development of cough sound analysis models to improve TB diagnosis, where innovative approaches are critically needed to end this long-standing pandemic.
