The HumanWare Project
What if a wireless signal in your home could tell you more about your health than your doctor 0 before you even feel unwell? In this episode of 60 Seconds to Longevity, Méline Liu sits down with Dina Katabi, MIT professor and pioneer of invisible health technology, to explore a breakthrough that could redefine how we monitor, detect, and prevent disease. Dina's research uses wireless signals to capture vitals, sleep patterns, breathing, and even EEG data - entirely without sensors or wearables. Her lab has already demonstrated the ability to detect Parkinson's disease from breathing patterns during sleep, in some cases before a formal clinical diagnosis. Looking ahead, she envisions AI foundation models that understand human physiology from thin air - screening for disease, detecting early warning signs, and helping us intervene before symptoms ever appear.
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