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 ability to passively and continuously monitor cough would significantly improve cough management andresearch. Recent advances in acoustic AI have prompted the development of automated cough monitoring technology. Here wedescribe for the first time the process and results of validating an acoustic AI based cough monitor.