Idiopathic Pulmonary Fibrosis (IPF) is a severe, chronic lung disorder characterized by progressive scarring of lung tissue, affecting millions worldwide. This disease significantly impacts quality of life, and its hallmark symptom is a persistent, nonproductive cough, which is crucial for early detection and monitoring disease progression.
IPF poses substantial economic burdens due to its high mortality rate and the complexity of its management, underlining the need for early detection and targeted management strategies.
Median survival from IPF diagnosis is ~3 years (ref)
Nonproductive cough experienced by >80% of IPF patients (ref)
When cough is present in IPF, it is severe and difficult to treat (ref)
Hyfe (www.hyfe.ai) builds software that detects coughing via audio analysis on phones, watches, wearables, and other devices with mics. Cough detection is fully automated, using AI algorithms trained on the sounds of coughs of tens of thousands of individuals. Since the system runs fully on-device, no audio data is sent to servers, thereby ensuring full patient privacy. By using Hyfe’s technology to detect and quantify cough, healthcare organizations seeking to roll out or improve COPD remote patient monitoring can improve outcomes and cut costs.
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