Artificial intelligence for modeling uveal melanoma

摘要

Understanding of the cellular signaling pathways involved in cancer disease is of great importance.These complex biological mechanisms can be thoroughly revealed by their structure,dynamics,and control methods.Artificial intelligence offers rule-based models that favor the research of human signaling processes.In this paper,we give an overview of the advantages of the formalism of symbolic models in medical biology and cell biology of the uveal melanoma.A language is described that allows us:(1)To define the system states and elements with their alterations;(2)To model the dynamics of the cellular system;and(3)To perform inference-based analysis with the logical tools of the language.