IEEE Keynote Speaker Series - Toward Federated Biomedical Digital Twins for Digital Trials

About

This talk will review advances in federated learning and biomedical digital twins for digital trials. These advances build naturally on two closely related topics: intelligent recognition of behavioral trajectory patterns and real-time machine learning. Together, these approaches have the potential to support scalable, privacy-preserving, and personalized digital health solutions. Federally funded projects will serve as use cases, showcasing newly developed AI algorithms, models, and web-based databases. The talk will also address the reproducibility of AI methods and the role of real-time learning within the broader context of digital health and the Internet of Medical Things, concluding with emerging trends, potential applications, and key challenges. --- Event Details: (link below)