Concept
Digital Twins
Future of Cancer Science | AACR Cancer Progress Report 2025 / Enhancing Clinical Decision-Making
"AI-driven technologies are improving clinicians’ ability to predict patient outcomes and personalize treatment plans. Digital twins—virtual, continuously updated models of individual patients—are one such technology. Digital twins integrate real-world data from electronic health records (EHRs) and clinical evaluations, alongside multi-omics and lifestyle information, to simulate disease progression, predict treatment responses, and guide personalized treatment based on a patient’s own unique biology. They also show promise in clinical trial settings, particularly for pediatric and rare cancers, where they can function as synthetic control arms to augment or replace conventional controls when patient enrollment is limited (1054)Mollica L, et al. (2024) ESMO Real World Data and Digital Oncology, 5: 100056.."
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