

Big data and femtech
Oct 8, 2024
Sylvia Kang, Co-founder and CEO of Mira, dives into how big data and AI are transforming women's health, particularly in fertility and menopause management. She reveals how monthly hormone data empowers women's insights. Sebastian Valenzuela discusses the effects of social media and AI on news accuracy, while Barry Billingsley highlights chatbots' influence on online searches and the potential biases of AI-generated information. Their discussions spark essential conversations about the intersection of technology and health.
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Mira's Origin
- Sylvia Kang started Mira after struggling to find personalized fertility tracking solutions.
- Existing options like ovulation predictor kits were confusing and inaccurate, pushing women towards expensive IVF too quickly.
Femtech Funding Challenges
- Women's health research is underfunded, making it challenging to gather data for femtech products.
- Sylvia Kang had to explain hormonal health to male investors, whose decisions often depended on their wives' pregnancy experiences.
Mira's AI-Powered Insights
- Mira uses AI to personalize hormone analysis based on a vast dataset of 13 million hormone data points.
- The app provides insights into cycle patterns, ovulation prediction, and potential red flags.