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.
This ERS 2025 abstract from Hyfe's R&D team validates the wear-detection algorithm built into the Hyfe CoughMonitor smartwatch against participant-reported wear status across 418 person-hours of data in ten participants.
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.
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.
The study was conducted at Sewanee University, TN, USA, in early 2021 and focused on collecting cough acoustic signatures for respiratory disease screening. It involved around 2000 students tested weekly for SARS-CoV-2. The study recorded 4302 coughs from 960 participants over 11 weeks, all COVID-19 negative. The process took about 30 seconds per participant. The project's goal was to develop and implement reliable, quick acoustic screening tools, emphasizing the need for high-quality datasets and logistical insights. This study contributes significantly to acoustic epidemiology, especially in the context of COVID-19 and SARS-CoV-2 research
