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.
A triage tool that could identify patients who are most likely to have chest radiographic (CXR) abnormalities wouldimprove the efficiency of CXR utilization. Acoustic artificial intelligence techniques are being developed to extract diagnosticallyrelevant features from cough. Here we report the feasibility and preliminary performance of an AI-enabled cough classifier’s abilityto identify which patients are most likely to have abnormal CXRs based on cough sound.
