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.
23.03.2022
This paper emphasizes the urgent need for rapid, accurate, sputum-free tuberculosis (TB) diagnostic tests. It reviews key technologies like artificial intelligence-based automated digital chest X-radiography and capillary blood point-of-care assays. Technologies such as artificial intelligence-based methods are particularly promising, with Hyfe featured as a potential rapidly scalable, and rapid screening tool for cough sound specimens.The paper discusses the challenges in the diagnostic pipeline, including a shortage of community-based tools and the difficulty in detecting paucibacillary TB. It also highlights the importance of designing and evaluating assays for optimal programmatic uptake, and leveraging the urgency and innovation from COVID-19 response for improving TB diagnostics
