How do your science and tech teams work together to keep the AI models accurate, safe, and compliant? But when it comes to health models, we won't release them until we've validated the science. What lessons have you learned from building and scaling Viome that could help other companies trying to bring AI health products to market responsibly? Banavar: First, there is no substitute for generating robust scientific data to support the value of health products. Second, when applying AI to health products, focus on areas and methods that can be independently validated and, ideally, interpretable, where companies can explain how the AI models reached their results to scientists, clinicians, and users.