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!
Prizes
Hackathon winners will receive a range of exciting prizes, including a monetary prize, cutting-edge Oura Rings for personalized health insights, and $40,000 in OpenAI credits to power their projects. In addition, top teams will gain exclusive access to legal advisory services from Perkins Coie, as well as VC mentorship and advice from industry leaders at Foreground, Amboy Street Ventures, Topology, and The Helm. These prizes are designed to fuel innovation and provide winning teams with the tools, support, and expertise needed to scale their ideas into impactful solutions beyond our hackathon.
Keynote Speakers: Veronica Adamson, Marzyeh Ghassemi
Event Details
📅 Date: Saturday, May 17
⏰ Time: 9:00 AM – 8:15 PM
📍 Location: MIT Schwarzman College of Computing, Cambridge
👥 Who Can Join: This hackathon is open to all— students and non-students alike. We will facilitate team formation amongst participants. If you already have a team, you must all register individually. Teams are limited to 3-5 people.
Food will be offered!
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
We are so thankful to our sponsors for helping facilitate this event!
Gold Sponsors
Silver Sponsors: