• Aaron AupperleeFriday, February 20, 2026Print this page. • Sleep Cycle, an AI sleep technology company, and the Delphi Group at Carnegie Mellon University have announced a five-year research collaboration. • The collaboration focuses on understanding how privacy-preserved data and sleep-based signals, such as nighttime cough patterns, may complement and enhance traditional respiratory disease surveillance systems and early detection of both seasonal and emerging disease outbreaks. • Through the collaboration, Sleep Cycle will provide the Delphi Group with deidentified research data related to coughing and breathing to support epidemiological modeling and forecasting research. • The study will analyze trends derived from anonymized, differentially private data from Sleep Cycle’s Cough Radar, a public visualization tool that shows aggregated trends in nightly coughing intensity across regions. • Researchers will explore whether these signals can provide earlier visibility into respiratory disease activity, including viruses such as influenza, RSV and SARS-CoV-2.

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  • Aaron AupperleeFriday, February 20, 2026Print this page. Sleep Cycle, an AI sleep technology company, and the Delphi Group at Carnegie Mellon University have announced a five-year research collaboration. The collaboration focuses on understanding how privacy-preserved data and sleep-based signals, such as nighttime cough patterns, may complement and enhance traditional respiratory disease surveillance systems and early detection of both seasonal and emerging disease outbreaks. Through the collaboration, Sleep Cycle will provide the Delphi Group with deidentified research data related to coughi

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