AI in Health Conference 2024

Digital twins have undergone a widespread development in multiple areas of engineering and medicine. In recent years, increasing success of computational models to predict the development of cancer and its response to treatments have demanding increasing attention to the translation of state-of-the-art digital twin techniques into clinical cancer healthcare. The overall goal of this workshop is to engage discussion about current challenges on the development and implementation of clinically practical digital twins in oncology, as well as to appreciate comprehensive perspectives from multiple stakeholders in cancer healthcare.

Organizers:
Chengyue Wu, PhD, Department of Imaging Physics, UT MD Anderson Cancer Center
Bissan Al-Lazikani, PhD, MBCS FRSB, Department of Genomic Medicine, UT MD Anderson Cancer Center
Heiko Enderling, PhD, FSMB, Department of Radiation Oncology, UT MD Anderson Cancer Center