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Disrupting Healthcare Using Deep Data, Remote Monitoring and AI
Today’s healthcare system largely reacts to illness rather than preventing it. Researchers at Stanford University School of Medicine are pioneering a new approach: using big data, multi-omics technologies, and continuous remote monitoring to understand health while people are still well and detect disease at its earliest, pre-symptomatic stages. By combining genomics, immunomics, transcriptomics, proteomics, metabolomics, microbiomics, wearable devices and microsampling, scientists can track health and biological change in unprecedented detail.
In this webinar, Michael Snyder will present…
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