Biomedical digital twins for cancer – early lessons and future directions

Abstract

Research into applications for biomedical digital twins is taking off as a new frontier for precision medicine. With early efforts commencing in Europe and now with established programs initiatives and programs globally, the promise of biomedical digital twins creates an extremely exciting direction to bring focus to predictive medicine. Fueled by the growth of available data, the pervasiveness of computing and AI, and success of digital twin approaches in other disciplines, reaching the goal of effective biomedical digital twins appears achievable in the foreseeable future. The presentation will provide a foundation for biomedical digital twin efforts, share insights from existing efforts globally, highlight initiatives to advance cancer patient digital twins, and exciting future applications for biomedical digital twins. The presentation will also discuss lessons learned, anticipated challenges and the corresponding opportunities to make progress in this exciting new area for biomedical research.