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2min chapter
Closing the gaps in hormonal healthcare with Sylvia Kang from Mira
Found
Harnessing Data and AI for Personalized Hormonal Insights
This chapter explores the complexities of gathering accurate hormonal data for women, criticizing generalized resources like Wikipedia. It presents a massive dataset of over 13 million data points that leverages AI and medical expertise to provide tailored predictions and insights for users, helping them understand their hormone levels in relation to similar demographics.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode