THERAPEUTIC RESPONSE PREDICTION BASED ON SYNTHETIC TUMOR MODELS

摘要

Systems and methods for creating therapeutic response predictions based on a synthetic tumor model generated based on micro-scale data associated with one or more parameters representative of one or more biological characteristics of tumors, where synthetic CT images constructed via back projection of the synthetic tumor model and distribution/response of one or more therapeutic therapies predicted for the synthetic tumor model are used to train an unsupervised learning model for determining a personalized treatment plan for a patient's tumor.