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研究面临的重大挑战:医学与生物学中的多模态、多层次和多尺度系统。

A grand challenge for research: multimodal, multilevel and multiscale systems in medicine and biology.

作者信息

Coatrieux J L

机构信息

Laboratoire Traitement du Signal et de l'Image, INSERM-Université de Rennes 1, France.

出版信息

Rocz Akad Med Bialymst. 2005;50:132-7.

Abstract

Computational modelling, nano-bioscience and information technology in biology and medicine will play a major role in the interdisciplinary attempts to elucidate structures and functions of living systems. Developing tools capable to integrate the new advances and make benefit of them is crucial: accumulation of data and knowledge base with only storage and retrieval capabilities will have a poor impact if they are not made "active" or "operational". This is where models will play a central role in offering, not only sound ways for representation or simulation, but also the appropriate frames to put the players in the right place, with intra- and inter-level coupling and multisource handling. This paper advocated that sequential observations of multiple and complex mechanisms will be of limited interest to understand the inter-relations that are occurring at the same time, and therefore, that designing multimodal, multilevel and multiscale experiments, matched with these models, are of major importance.

摘要

计算建模、纳米生物科学以及生物学和医学中的信息技术,将在阐明生命系统结构与功能的跨学科研究中发挥重要作用。开发能够整合新进展并从中受益的工具至关重要:仅具备存储和检索功能的数据与知识库积累,若不使其“活跃”或“可操作”,其影响将微乎其微。在此,模型不仅会在提供合理的表示或模拟方式方面发挥核心作用,还会在提供适当框架以通过层内和层间耦合及多源处理将各要素置于恰当位置方面发挥核心作用。本文主张,对多个复杂机制进行顺序观测,对于理解同时发生的相互关系的价值有限,因此,设计与这些模型相匹配的多模态、多层次和多尺度实验至关重要。

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