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.
09.01.2023
This multi-site study investigates the potential of digital cough sounds as predictive biomarkers for clinical outcomes in hospitalized COVID-19 patients. It aims to determine if the acoustic properties of coughs can predict the severity and progression of the disease.
Methodology: The authors utilized digital cough recordings from hospitalized COVID-19 patients using Hyfe's cough detection and monitoring platform. Advanced acoustic analysis techniques were applied to these recordings to identify specific characteristics or patterns associated with different clinical outcomes.
Key Findings:
Implications for Healthcare:
The study concludes that digital cough monitoring holds promise as a non-invasive, efficient, and effective way to predict clinical outcomes in COVID-19 patients. This innovative approach could enhance patient management and treatment strategies in the ongoing fight against COVID-19.
