The App Helping you Assess Lung Health
Med-Tech Innovation News spoke to Iulian Circo and Joe Brew, co-founders of Hyfe, about its continuous monitoring technology for lung health.
Hyfe was founded in early March 2020, in response to the emerging COVID-19 pandemic. The team – which is global and includes top-tier academia, engineering and entrepreneurship – came together animated by the idea of building reliable A.I. tools that can detect cough and monitor respiratory conditions. We wanted this tech to be deployed at scale via smartphones and wearables.
Hyfe uses deep learning techniques – namely Convolutional Neural Networks, that learn by processing large quantities of data. We understood from the beginning the importance of quality, real-world data for a machine learning platform. This is why we launched a consumer product early on and ensured that we continuously increase the value we create for regular folks – mostly chronic coughers – without charging a cent for the technology. This allows us to process millions of real-world coughs and cough-like sounds, which is why our detection models are in a league of their own in terms of performance. We also partnered with dozens of globally respected research institutions and provided them with reliable cough detection instruments as part of clinical trials. This gave us access to high quality ground-truth data which we are using to train more sophisticated ML models, teaching them what specific diseases “sound like.” Imagine being able to detect a respiratory condition – say lung cancer – before symptoms become noticeable.