What if your breathing patterns could warn you that you are getting sick days before you have noticeable respiratory illness symptoms? The answer lies in sleep audio analysis powered by AI. This session explores how new advances can help us detect patterns far before our bodies notice. Sound is passive, honest, and scalable, and with AI trained on 3B nights of data, it can turn every bedroom into a node in an early-warning health network. AI has the power to turn sleep audio into a new public health infrastructure: one that listens, learns, and helps us act before symptoms even appear.

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