The project proposes an AI-native harmonization engine specifically designed for Theranostics data, implemented within a single high-volume clinical center, and developed on a large, fully and readily accessible real-world cohort of more than 1,000 patient datasets, including different radioisotopes. This creates a unique opportunity to move from concept to implementation, and to demonstrate how structured, multimodal data can become a shared asset for the Theranostics community.
