Shalvi
Singh
Senior Product Manager, Amazon at Founder & Builder, Healthengine
"The $10 Billion Menopause AI Gold Rush: Why VC's Are Finally Discovering Women Over 40"
"The $10 Billion Menopause AI Gold Rush: Why VC's Are Finally Discovering Women Over 40"
Fri May 15 - 11:10 AM EDT/New York (See in local time)
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05/15/2025 11:10 AM
05/15/2025 11:30 AM
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"The $10 Billion Menopause AI Gold Rush: Why VC's Are Finally Discovering Women Over 40"
#WTGC2025
"The $10 Billion Menopause AI Gold Rush: Why VC's Are Finally Discovering Women Over 40"
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"The $10 Billion Menopause AI Gold Rush: Why VC's Are Finally Discovering Women Over 40"
"The $10 Billion Menopause AI Gold Rush: Why VC's Are Finally Discovering Women Over 40"
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Session: The $10 Billion Menopause AI Gold Rush: Why VC's Are Finally Discovering Women Over 40
After decades of ignoring half the population, Silicon Valley has suddenly discovered menopause—and it's worth billions. With nearly 85% of women experiencing menopause symptoms yet less than 2% of global healthcare R&D dedicated to female-specific conditions, artificial intelligence is now stepping in where traditional medicine has failed.This talk exposes the explosive convergence of three powerful forces: venture capitalists chasing women's health investments that have tripled in recent years, AI technologies finally sophisticated enough to decode complex hormonal patterns, and a demographic tsunami of educated, affluent women demanding better healthcare solutions.
We'll dive into the cutting-edge AI applications revolutionizing menopause care—from machine learning algorithms that predict hot flashes before they happen to personalized hormone therapy protocols powered by genetic data analysis. But this isn't just a feel-good story about innovation. The majority of women feel their medical concerns aren't taken seriously, and major scientific institutions are now hosting landmark workshops on using AI to understand menopause—a condition that has been systematically under-researched for generations.
The irony is palpable: the same tech industry that has historically excluded women is now racing to monetize their biology. From period-tracking unicorns to AI-powered telehealth platforms, we'll examine whether this represents genuine progress or simply another Silicon Valley gold rush wearing the mask of women's empowerment.
Attendees will learn about the breakthrough technologies reshaping women's healthcare, the massive market opportunities driving unprecedented investment, and the critical questions we must ask as AI increasingly mediates our most intimate health experiences. Is this finally the moment when women's health gets the innovation it deserves—or just another tech bubble waiting to burst?
Key Takeaways:
The economic forces driving $10+ billion in women's health AI investment
Breakthrough AI applications in menopause prediction, management, and treatment
Why this represents both unprecedented opportunity and potential exploitation
Critical policy and ethical considerations for AI-driven women's healthcare
Key Takeaways
- This represents either the greatest opportunity to democratize women's healthcare or the biggest risk of automating bias at unprecedented scale Success requires moving beyond treating women as an untapped market toward building technology that genuinely s
Bio
Shalvi Singh is a Senior Product Manager of Amazon, Founder of Healthengine.us and AI specialist focused on applying machine learning to women's healthcare challenges. She is the lead author of the 2025 groundbreaking study "Algorithmic Detection of Hormonal Patterns in Women's Health using Artificial Intelligence," published in leading Journals.Singh's work addresses a critical gap in healthcare technology by developing computational algorithms that can detect, predict, and classify hormonal variations in women. Her research spans from tracking menstrual cycles through wearable devices to diagnosing complex conditions like PCOS using electronic health records and natural language processing.
With an affiliation to Amazon's research ecosystem, Singh represents a new generation of technologists bridging the gap between big tech capabilities and underserved women's health needs. Her work comes at a pivotal time when less than 2% of global healthcare R&D focuses on female-specific conditions, positioning her research as part of the emerging movement to democratize and personalize women's healthcare through AI.
Singh's methodology combines rigorous academic research standards with practical applications, promising to move women's health beyond traditional calendar-based approaches toward precision, data-driven insights that could revolutionize how conditions like infertility, menopause, and hormonal disorders are detected and managed.
Her research represents the cutting edge of AI-powered healthcare innovation, specifically targeting the long-overlooked field of women's hormonal health.
