53
Research Trials
20
Peer-reviewed publications
16
Clinical Conditions
Hyfe pilot study tests a digital therapeutic combining passive cough monitoring with behavioral suppression techniques delivered through the CoughPro app.
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.
Independent ERS 2025 NeuroCOUGH trial uses the Hyfe Cough Tracker to test feasibility of studying azithromycin's effect on cough and oesophageal motility.
Independent ERS 2025 trial uses the Hyfe Cough Tracker to show azithromycin reduces objective cough frequency by week one in chronic respiratory disease.
Cough is a common and commonly ignored symptom of lung disease. Cough is often perceived as difficult to quantify, frequently self-limiting, and non-specific. However, cough has a central role in the clinical detection of many lung diseases including tuberculosis (TB), which remains the leading infectious disease killer worldwide. TB screening currently relies on self-reported cough which fails to meet the World Health Organization (WHO) accuracy targets for a TB triage test. Artificial intelligence (AI) models based on cough sound have been developed for several respiratory conditions, with limited work being done in TB.
To support the development of an accurate, point-of-care cough-based triage tool for TB, we have compiled a large multi-country database of cough sounds from individuals being evaluated for TB. The dataset includes more than 700,000 cough sounds from 2,143 individuals with detailed demographic, clinical and microbiologic diagnostic information. We aim to empower researchers in the development of cough sound analysis models to improve TB diagnosis, where innovative approaches are critically needed to end this long-standing pandemic.
