Dynamic Computational Model Suggests That Cellular Citizenship Is Fundamental for Selective Tumor Apoptosis

摘要: Computational models in the field of cancer research have focused primarily on estimates biological events based laboratory generated data. We introduce a novel in-silico technology that takes us to next level prediction and facilitates innovative solutions through mathematical system. The model's building blocks are cells defined phenotypically as normal or tumor, with processes translated into equations describing life protocols quantitative stochastic manner. essentials communication society composed tumor explored reveal “protocols” for selective eradication. Results consistently identify “citizenship properties” among essential induction healing healthy system invaded by cancer. These properties act via inter-cellular can be optimized induce eradication along recovery. Within computational systems, universally succeed removing wide variety tumors proliferation rates, initial volumes, apoptosis resistant phenotypes; they show high adaptability details allow incorporation population heterogeneity. work long at least 32% obey extra-cellular commands 28% report their deaths. This low percentage implies resilient suboptimal situations often seen systems. conclude our model is powerful tool investigate, propose, exercise logical anti-cancer solutions. Functional results should confirmed molecular findings loaded directed experiments.