Volunteer your voice
The app will collect some voice samples (while you read text on the screen), and a few seconds of breathing and coughing.
Contribute to science
We need many participants in order to build predictive models and contribute to the early diagnosis of COVID-19.
The app won't be tracking you and it will collect data when you actively interact with it.
Longitudinal COVID-19 progression modeling
June 21, 2022 — Can we continuously detect and track individuals’ COVID-19 disease progression in a remote monitoring context?
Releasing our large-scale audio dataset
November 20, 2021 — We are releasing our comprehensive large-scale COVID-19 audio dataset to the research community in NeurIPS 2021.
Uncertainty-aware COVID-19 detection
June 28, 2021 — To what extent can we trust artificial intelligence (AI) models when used as an automatic screening tool for COVID-19? Our previous...
The study has been approved by the Ethics Committee of the Department of Computer Science and Technology, University of Cambridge and is partly funded by the European Research Council through Project EAR.
Cecilia is Professor of Mobile Systems. She is an expert in mobile health and mobile data analysis.
Pietro is Professor of Biological Physics at the Cavendish Laboratory, Cambridge.
Andres is Professor of Respiratory Biology and Research Director of the Cambridge Centre for Lung Infection at Papworth Hospital.
Chloe has a PhD in Computer Science and is a junior doctor.
Jagmohan is a postdoctoral researcher in Mobile Systems.
Jing is a postdoctoral researcher with interests in deep learning and digital health.
Andreas is a PhD student in Computer Science with interests in machine learning, data science, and systems.
Api is a PhD Student in Computer Science with interests in causal inference and its applications to systems data and design.
Dimitris is a PhD Student in Computer Science with interests in machine learning and health data science.
Tong is a PhD student Computer Science. She is interested in data mining and machine learning.
Ting is a post-doctoral researcher with interests in speech-processing, affective computing, and audio based health diagnosis.