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Mathematical methods in medicine: neuroscience cardiology and pathology

机译:医学中的数学方法:神经科学心脏病学和病理学

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摘要

The application of mathematics, natural sciences and engineering to medicine is gaining momentum as the mutual benefits of this collaboration become increasingly obvious. This theme issue is intended to highlight the trend in the case of mathematics. Specifically, the scope of this theme issue is to give a general view of the current research in the application of mathematical methods to medicine, as well as to show how mathematics can help in such important aspects as understanding, prediction, treatment and data processing. To this end, three representative specialties have been selected: neuroscience, cardiology and pathology. Concerning the topics, the 12 research papers and one review included in this issue cover biofluids, cardiac and virus dynamics, computational neuroscience, functional magnetic resonance imaging data processing, neural networks, optimization of treatment strategies, time-series analysis and tumour growth. In conclusion, this theme issue contains a collection of fine contributions at the intersection of mathematics and medicine, not as an exercise in applied mathematics but as a multidisciplinary research effort that interests both communities and our society in general.This article is part of the themed issue ‘Mathematical methods in medicine: neuroscience, cardiology and pathology’.
机译:随着这种合作的共同利益越来越明显,将数学,自然科学和工程学应用于医学的势头越来越大。本主题旨在突出数学方面的趋势。具体来说,本主题的范围是对医学方法在数学方法中的应用进行综述,并展示数学如何在理解,预测,治疗和数据处理等重要方面提供帮助。为此,已选择了三个代表性专业:神经科学,心脏病学和病理学。关于这些主题,本期包含的12篇研究论文和一篇综述涵盖了生物流体,心脏和病毒动力学,计算神经科学,功能磁共振成像数据处理,神经网络,治疗策略的优化,时序分析和肿瘤生长。总而言之,本主题期刊包含了一系列在数学和医学交叉方面的杰出贡献,而不是作为应用数学的练习,而是作为一个跨学科的研究工作,引起了整个社区和整个社会的兴趣。本文是主题的一部分发行“医学数学方法:神经科学,心脏病学和病理学”。

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