Agenda

Designing a Women's Health Data Sandbox That Actually Works Dig into what it will take to build data environments that enable faster development, robust validation, and safe deployment of AI-enabled solutions in women's health. Build understanding of: ' Practical steps required to move from fragmented, siloed datasets to secure, interoperable data environments that support AI development while meeting governance, auditability, and regulatory requirements. ' Where synthetic data and privacy-preserving technologies can be safely and effectively used to reduce development costs and overcome data access barriers without compromising compliance. ' How healthcare systems, pharmaceutical companies, and technology partners can structure collaboration models around de-identified datasets to enable faster development, stronger validation, and commercially viable partnerships