Concrete examples, again, go back to filling that data gap. Right now, women's reproductive health is only 5% of the total picture. We're looking at cardiovascular health, cancer, mental brain disorder, chronic pelvic pain and, of course, that hormonal transition through the menopausal journey. All of these health conditions need addressing from a data and a research standpoint. Again, if we don't have the data because women were not included in clinical trials until 1997, then these conditions will continue to progress, and we'll actually use AI to accelerate the health of men and other populations while widening the gap for women in Canada.
We really need that AI innovation, research and commercialization strategy for Canada so that not only are we getting the data to inform diagnosis, treatment and care, but we can also further that economic potential for innovation in women's health. That's not just Apple watches and Oura rings. You're talking about keeping fetuses alive in utero. You're talking about diabetes. You're talking about cervical cancer cures. You're talking about prolonging people's lives through cardiovascular monitoring. These innovations are critical to the lives of women in Canada, and if we don't have the data, we will not be able to power that innovation.