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.
22.05.2024
The most commonly employed method of cough monitoring in clinical trials quantifies cough over 24 hour periods pre and post interventions. However, because cough is stochastic, intermittent measures of cough may not accurately reflect longer term trends. Hyfe consumer cough tracking apps use acoustic AI to continually and passively monitor coughing. We reviewed cough data from app users with persistent cough, applied novel statistical methods to demonstrate the day-to-day variability of the cough count and derived scores that quantifies how well any given day predicts longer term trends.
