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Bridging the gap between the micro- and the macro-world of tumors

机译:缩小肿瘤微观世界与宏观世界之间的差距

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At present it is still quite difficult to match the vast knowledge on the behavior of individual tumorcells with macroscopic measurements on clinical tumors. On the modeling side, we already know how to deal with many molecular pathways and cellular events, using systems of differential equations and other modeling tools, and ideally, we should be able to extend such a mathematical description up to the level of large tumor masses. An extended model should thus help us forecast the behavior of large tumors from our basic knowledge of microscopic processes. Unfortunately, the complexity of these processes makes it very difficult – probably impossible – to develop comprehensive analytical models. We try to bridge the gap with a simulation program which is based on basic biochemical and biophysical processes – thereby building an effective computational model – and in this paper we describe its structure, endeavoring to make the description sufficiently detailed and yet understandable.
机译:目前,将有关单个肿瘤细胞行为的大量知识与对临床肿瘤的宏观测量相匹配仍然非常困难。在建模方面,我们已经知道如何使用微分方程组和其他建模工具来处理许多分子途径和细胞事件,理想情况下,我们应该能够将这种数学描述扩展到大肿瘤块的水平。因此,扩展模型应该有助于我们根据微观过程的基本知识预测大肿瘤的行为。不幸的是,这些过程的复杂性使得开发全面的分析模型非常困难,甚至不可能。我们试图通过基于基本生化和生物物理过程的模拟程序来弥合差距,从而建立有效的计算模型,并且在本文中我们描述其结构,力图使描述足够详细且易于理解。

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