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Mathematical Oncology: How Are the Mathematical and Physical Sciences Contributing to the War on Breast Cancer?

机译:数学肿瘤学:数学和物理科学如何促进乳腺癌战争?

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Mathematical modeling has recently been added as a tool in the fight against cancer. The field of mathematical oncology has received great attention and increased enormously, but over-optimistic estimations about its ability have created unrealistic expectations. We present a critical appraisal of the current state of mathematical models of cancer. Although the field is still expanding and useful clinical applications may occur in the future, managing over-expectation requires the proposal of alter Abstract Mathematical modeling has recently been added as a tool in the fight against cancer. The field of mathematical oncology has received great attention and increased enormously, but over-optimistic estimations about its ability have created unrealistic expectations. We present a critical appraisal of the current state of mathematical models of cancer. Although the field is still expanding and useful clinical applications may occur in the future, managing over-expectation requires the proposal of alternativ directions for mathematical modeling. Here, we propose two main avenues for this modeling: 1) the identification of the elementary biophysical laws of cancer development, and 2) the development of a multiscale mathematical theory as the framework for models predictive of tumor growth. Finally, we suggest how these new directions could contribute to addressing the current challenges of understanding breast cancer growth and metastasis.
机译:数学建模最近已被添加为对抗癌症的工具。数学肿瘤学领域受到了极大的关注并得到了极大的发展,但是对其能力的过度乐观估计却产生了不切实际的期望。我们对癌症的数学模型的当前状态进行了重要的评估。尽管该领域仍在扩展,并且将来可能会出现有用的临床应用,但是管理过高的期望值要求更改方案。摘要最近,数学建模已被添加为对抗癌症的工具。数学肿瘤学领域受到了极大的关注并得到了极大的发展,但是对其能力的过度乐观估计却产生了不切实际的期望。我们对癌症的数学模型的当前状态进行了重要的评估。尽管该领域仍在扩展,并且将来可能会出现有用的临床应用,但是管理过高的期望值需要提出数学建模的替代方向。在此,我们提出了两种主要的建模方法:1)识别癌症发展的基本生物物理规律,以及2)发展多尺度数学理论作为预测肿瘤生长模型的框架。最后,我们建议这些新方向如何有助于解决当前了解乳腺癌生长和转移的挑战。

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