Associate Professor, Chief Medical Physicist & Head of Lab for AI and Translational Theranostics University of Bern, Bern, Switzerland
Disclosure(s):
Kuangyu Shi, PhD: No relevant disclosure to display
Despite the success of radiopharmaceutical therapy, there is a belief that personalized treatment can further enhance treatment outcomes while maintaining low side effects. In this talk, we will explore how Digital Twin technology can support the personalization of radiopharmaceutical therapy. Digital twins integrate multi-level computational models, including anatomical models, physiologically-based pharmacokinetic models, convection-reaction diffusion models, and DNA damage and repair models, to simulate radiopharmaceutical delivery, dose deposition, and dose effects in virtual patients. This enables the exploration and optimization of treatment strategies. Moreover, advanced technologies such as spatial transcriptomics, total-body positron emission tomography (PET), organ-on-chips, and artificial intelligence—including large language models—are introduced to bridge the gap between digital twins and real patients. By combining clinical, experimental, and computational approaches, we aim to advance theranostic digital twins, bringing us closer to truly personalized treatments.
