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.
This abstract focuses on using cough audio recordings and related metadata to predict tuberculosis (TB). This study involves collecting cough sounds from individuals and analyzing various characteristics of these sounds alongside metadata. The aim is to determine patterns or indicators that are specific to TB, thus enabling early and non-invasive diagnosis. This approach would represent a significant advancement in TB diagnosis, offering a more accessible and potentially cost-effective method compared to traditional diagnostic techniques. The research's outcome could have substantial implications for TB detection, particularly in regions where access to medical facilities is limited.
