MIT Women's Health AI Hackathon
We invite you to join us at MIT’s inaugural Female Medicine through Machine Learning (FMML) Women's Health AI Hackathon — a one-day event to reimagine healthcare for women.
Female Medicine through Machine Learning is a new MIT initiative using artificial intelligence and real-world health data to address the massive gender gap in medicine. Despite biological differences that affect everything from disease risk to treatment response, female data (from cells to clinical trials) makes up just ~5% of the medical research body. This leads to misdiagnoses, ineffective care, and entire conditions going overlooked.
Our mission is to change that by building open-source, personalized medical tools for female bodies powered by AI.
This hackathon is your opportunity to drive change in women’s health by using AI to build something new—or expand on an existing project!
Prizes
OpenAI is awarding a total of $40,000 in credits!
1st Place: $25,000 in OpenAI credits
2nd Place: $10,000 in OpenAI credits
3rd Place: $5,000 in OpenAI credits
Keynote Speaker: Marzyeh Ghassemi
Event Details
📅 Date: Saturday, May 17
⏰ Time: 9:30 AM – 8:00 PM
📍 Location: MIT Schwarzman College of Computing, Cambridge
👥 Who Can Join: This hackathon is open to all— students and non-students alike.
About the Host
Female Medicine through Machine Learning (FMML): MIT initiative using AI and real-world data to close the gender gap in healthcare. FMML is pioneering personalized, open-source medicine for women by transforming how diseases are discovered, diagnosed, and treated.
Our Sponsors
Sponsorships are open. Please reach out to frida@mit.edu.
Gold Sponsors
Silver Sponsors: