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1001 ENHANCING HEALTH WITH AI
Manage episode 428130552 series 2498424
Visit Sleep Cycle: https://www.sleepcycle.com Be A Better YOU with AI: Join The Community: https://10xyou.us Get AIDAILY every weekday. Subscribe at https://aidaily.us --- In this episode, Chris interviews Mikael Kågebäck, the CTO of Sleep Cycle, a company dedicated to improving global health by helping people manage their sleep. Mikael, with a background in machine learning and AI research, explains how Sleep Cycle leverages audio event detection to track users' sleep patterns, including movements, breathing, and sleep talking. The data, processed at over 200 terabytes per hour, is analyzed using machine learning models to provide insights into sleep quality and stages. Beyond sleep tracking, Mikael discusses the innovative "cough radar" system that aggregates coughing data from users worldwide, offering early warning signs for potential disease outbreaks. This system accurately predicted COVID-19 waves in the US. Looking ahead, Mikael envisions a future of greater personalization in healthcare, using the data collected to offer tailored advice and personalized medicine, optimizing solutions for each individual's unique needs and biology. Mikael concludes by inviting listeners to reach out for more information about Sleep Cycle, emphasizing the company's commitment to advancing global health through innovative technology.
--- Support this podcast: https://podcasters.spotify.com/pod/show/thinkfuture/support1020 פרקים
Manage episode 428130552 series 2498424
Visit Sleep Cycle: https://www.sleepcycle.com Be A Better YOU with AI: Join The Community: https://10xyou.us Get AIDAILY every weekday. Subscribe at https://aidaily.us --- In this episode, Chris interviews Mikael Kågebäck, the CTO of Sleep Cycle, a company dedicated to improving global health by helping people manage their sleep. Mikael, with a background in machine learning and AI research, explains how Sleep Cycle leverages audio event detection to track users' sleep patterns, including movements, breathing, and sleep talking. The data, processed at over 200 terabytes per hour, is analyzed using machine learning models to provide insights into sleep quality and stages. Beyond sleep tracking, Mikael discusses the innovative "cough radar" system that aggregates coughing data from users worldwide, offering early warning signs for potential disease outbreaks. This system accurately predicted COVID-19 waves in the US. Looking ahead, Mikael envisions a future of greater personalization in healthcare, using the data collected to offer tailored advice and personalized medicine, optimizing solutions for each individual's unique needs and biology. Mikael concludes by inviting listeners to reach out for more information about Sleep Cycle, emphasizing the company's commitment to advancing global health through innovative technology.
--- Support this podcast: https://podcasters.spotify.com/pod/show/thinkfuture/support1020 פרקים
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