53
Research Trials
20
Peer-reviewed publications
16
Clinical Conditions
This narrative review by Hyfe's R&D team makes the case that continuous cough monitoring (CCM), powered by acoustic AI, transforms cough from a subjective symptom into a quantifiable digital biomarker.
Authored by Hyfe's R&D team, this review synthesizes work presented at the European Respiratory Society Congress 2025 and argues that objective cough monitoring has crossed a practical threshold, moving from experimental technique to deployable clinical endpoint.
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.
This study asked whether the core components of BCST could be embedded in a digital therapeutic and paired with continuous, objective cough monitoring inside the CoughPro app.
27.06.2022
We carried out a study evaluating potential uses of an AI-based cough detection system in northern Spain. Among enrolled participants there was a 71 year-old female with a history of smoking 20-40 cigarettes/day between ages 18to 36, and from age 67 to present. Past medical history revealed chronic non-productive cough, and several episodes of upper respiratory tract infections per year. She was enrolled in November 2020, when the AI system registered a mean cough frequency of 52 coughs/day. Following a quitting attempt in January 2021, she reported improvement in respiratory symptoms, which matched a reduction in cough frequency to 12 coughs/day.
This was sustained until April, when a smoking relapse increased cough frequency. Observing this contributed to her decision to stop smoking.
