Summary
Women are under-represented in data, medical trials and drug development. It is costing the lives of millions of women every year. The problem stems from a massive data gap, where men's bodies are see as the status quo. This project, commissioned by the Women's Health Tech Hive, is designed to reveal the scale and form of this gap. By finding the real unmoderated voices of women, and their conversations on the internet, and plugging them into Discover.ai's machine-learning platform, we were able to identify the multiple conditions affected by this gap, and show the tangible ways in which women...