摘要翻译：
干细胞移植(SCT)的结果是用概率论建模的。然而，SCT后的临床过程似乎显示了许多动力系统的特征，尤其是当结果考虑到免疫重建的背景下。动力系统倾向于根据数学确定的规则随时间演化。系统的特征是，系统的未来状态是建立在它们之前的状态上的，并且对初始条件有敏感性。在SCT中，供体T细胞与受体T细胞之间的相互作用可以被认为是一个系统，在这个系统中，移植物来源、条件和早期免疫抑制随着时间的推移而深刻地影响着免疫重建。这最终决定了临床结果，无论是耐受的出现还是移植物抗宿主病的发展。本文探讨了SCT和动力系统之间的相似性，并提出了一个概念框架，用于开发数学模型来理解不同的移植结果。
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英文标题：
《Stem Cell Transplantation As A Dynamical System: Are Clinical Outcomes
  Deterministic?》
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作者：
Amir A Toor, Jared D Kobulnicky, Salman Salman, Catherine H Roberts,
  Max Jameson-Lee, Jeremy Meier, Allison Scalora, Nihar Sheth, Vishal Koparde,
  Myrna Serrano, Gregory A Buck, William Clark, John McCarty, Harold Chung,
  Masoud H Manjili, Roy T Sabo, Michael C Neale
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最新提交年份：
2014
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分类信息：

一级分类：Quantitative Biology        数量生物学
二级分类：Other Quantitative Biology        其他定量生物学
分类描述：Work in quantitative biology that does not fit into the other q-bio classifications
不适合其他q-bio分类的定量生物学工作
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英文摘要：
  Outcomes in stem cell transplantation (SCT) are modeled using probability theory. However the clinical course following SCT appears to demonstrate many characteristics of dynamical systems, especially when outcomes are considered in the context of immune reconstitution. Dynamical systems tend to evolve over time according to mathematically determined rules. Characteristically, the future states of the system are predicated on the states preceding them, and there is sensitivity to initial conditions. In SCT, the interaction between donor T cells and the recipient may be considered as such a system in which, graft source, conditioning and early immunosuppression profoundly influence immune reconstitution over time. This eventually determines clinical outcomes, either the emergence of tolerance or the development of graft versus host disease. In this paper parallels between SCT and dynamical systems are explored and a conceptual framework for developing mathematical models to understand disparate transplant outcomes is proposed.
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PDF链接：
https://arxiv.org/pdf/1403.6365