Guru Banavar, founding CTO of Viome and former VP of IBM Watson AI, discusses the future of personalized healthcare using AI and your microbiome
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How to Minimize False Positives When Making Recommendations Based on Data Collected From Patients
AI makes recommendations for me based on data that includes your sample and everyone else's sample who's 80% different from mine. So there's a number of different techniques we use in order to do this. The first thing we do is to create extremely large datasets. We have thousands of people that we can say, OK, if a person happens to be male between the years 30 or 40 years and they are active most of the time, they are sleep is OK. But it turns out that they have inflammation becausewe can see inflammatory signals in their gut. There's a lot more underneath this, but I think that gives you a sense of it.
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