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.
02.07.2021
This paper proposes an observational protocol to monitor and analyze acoustic data (like cough sounds) to identify potential outbreaks rapidly. It aims to develop a digital acoustic surveillance system for the early detection of respiratory disease outbreaks in Spain.
The researchers are utilizing digital devices, such as smartphones and environmental sensors, running AI powered cough detection technology, to record acoustic oustic data in selected regions of Spain. Advanced algorithms and artificial intelligence techniques are applied to the collected acoustic data to detect patterns indicative of respiratory diseases.
The study will be conducted in diverse regions across Spain, possibly targeting areas with high population densities or previous records of significant respiratory disease outbreaks.
Key Takeaways
Implications for Public Health Policy: Successful implementation of this protocol could influence public health policies, especially in adopting more digital and AI-based approaches for disease surveillance and response.
