Women were left out of clinical studies until 1993. To this day, they’re still diagnosed later than men for over 700 conditions. But fixing the problem means more than just adding data. It also means cutting, interpreting, and personalizing information so it speaks to individuals and not just the lowest common denominator. AI and predictive tech are true game-changers here—but only if we’re smart about the ways we build these systems. This panel will explore the promise and risks AI carries as a path to closing the health gender gap to extend lifespans and make care both more human and humane.