Integration of Graph Neural Network and Neural-ODEs for Tumor Dynamic Prediction

arXiv:2310.00926v2 Announce Type: replace
Abstract: In anti-cancer drug development, a major scientific challenge is disentangling the complex relationships between high-dimensional genomics data from patient tumor samples, the corresponding tumor's organ of origin, the drug targets associated with given treatments and the resulting treatment response. Furthermore, to realize the aspirations of precision medicine in identifying and adjusting treatments for patients depending on the therapeutic response, there is a need for building tumor dynamic models that can integrate both longitudinal tumor size …

abstract arxiv cancer challenge cs.lg data development drug development dynamic genomics graph graph neural network integration major network neural network patient prediction relationships samples scientific targets treatment type