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.

Abstracts from the 2023 American Cough Conference: ACC2307: Validation of the Hyfe Cough Monitoring System" by Matthew Rudd, Isabel Sanchez-Olivieri, Sarah A R Siegel, and others,.
Authors: Matthew Rudd, Isabel Sa´nchez-Olivieri, Sarah A R Siegel, PeterM Small, Mindaugas Galvosas, Reid Moorsmith, Juan Pablo De Torres, Kevin L Winthrop, Carlos Chaccour
This abstract from the 2023 American Cough Conference: “ACC2307 - Validation of the Hyfe Cough Monitoring System” focuses on assessing the accuracy and reliability of the Hyfe Cough Monitor system. The system utilizes AI-powered capabilities for continuous and non-intrusive monitoring of coughs. The validation study aimed to establish a high correlation in the system's performance for both cough detection and cough duration measurement. This technology is expected to enhance patient care, aid cough research, and support drug development by providing precise and unobtrusive cough monitoring