
MS031A Digital Twins and Artificial Intelligence Approaches for Complex/Multiscale Physiological Systems in Oncology I
Main Organizer:
Mr.
Paolo Zunino
(
MOX, Department of Mathematics, Politecnico di Milano
, Italy
)
Chaired by:
Dr. Guillermo Lorenzo (University of A Coruña , Spain) , Mr. Paolo Zunino (MOX, Department of Mathematics, Politecnico di Milano , Italy)
Dr. Guillermo Lorenzo (University of A Coruña , Spain) , Mr. Paolo Zunino (MOX, Department of Mathematics, Politecnico di Milano , Italy)
Scheduled presentations:
-
Mathematical Models as the Engine of Digital Twins in Radiation Oncology
-
Digital-Twin Framework to Quantify Vertebral Fracture Risk due to Metastatic Cancer
-
a Physics-Informed Machine Learning model for Digital Twins: application to Prostate Cancer
-
Towards a Digital Twin for Microvascular Environment in Head and Neck Cancer
-
Designing Digital Twins for Personalized Risk Assessment in Breast Cancer Radiotherapy: Insights From the Tetris Project