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.
18.11.2025
Continuous cough monitoring is only as useful as the time a participant actually wears the device, making objective adherence measurement a prerequisite for trustworthy trial endpoints. 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. Applying the established Choi accelerometer algorithm, the system classified wear versus non-wear with 94.6% sensitivity and 93.8% specificity, with a positive predictive value for non-wear of 95.5% and a negative predictive value for wear of 92.5%. The CoughMonitor Suite dashboard surfaced these adherence signals in real time, giving study teams a device-verified alternative to self-report. The findings support the smartwatch's use in clinical trials where objective cough dynamics depend on knowing, with confidence, when the device was actually being worn.
