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Imaging and the 'New' Biology: What's Wrong with this Picture?

机译:成像和“新”生物学:这张图片怎么了?

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摘要

The Human Genome has been defined, giving us one part of the equation that stems from the central dogma of molecular biology. Despite this awesome scientific achievement, the correspondence between genomics and imaging is weak, since we cannot predict an organism's phenotype from even perfect knowledge of its genetic complement. Biological knowledge comes in several forms, and the genome is perhaps the best known and most completely understood type. Imaging creates another form of biological information, providing the ability to study morphology, growth and development, metabolic processes, and diseases in vitro and in vivo at many levels of scale. The principal challenge in biomedical imaging for the future lies in the need to reconcile the data provided by one or multiple modalities with other forms of biological knowledge, most importantly the genome, proteome, physiome, and other "-ome's." To date, the imaging science community has not set a high priority on the unification of their results with genomics, proteomics, and physiological functions in most published work. Images are relatively isolated from other forms of biological data, impairing our ability to conceive and address many fundamental questions in research and clinical practice. This presentation will explain the challenge of biological knowledge integration in basic research and clinical applications from the standpoint of imaging and image processing. The impediments to progress, isolation of the imaging community, and mainstream of new and future biological science will be identified, so the critical and immediate need for change can be highlighted.
机译:已经定义了人类基因组,这给了我们一部分源自分子生物学中心教条的方程式。尽管取得了令人敬畏的科学成就,但基因组学和成像技术之间的对应关系仍然很薄弱,因为我们甚至无法通过对遗传补体的全面了解来预测生物的表型。生物知识有几种形式,而基因组也许是最著名和最完全理解的类型。成像产生了另一种形式的生物学信息,从而能够在许多规模的体外和体内研究形态学,生长发育,代谢过程和疾病。未来生物医学成像的主要挑战在于,需要将一种或多种模式提供的数据与其他形式的生物学知识(最重要的是基因组,蛋白质组,生理组和其他“ -ome”)进行调和。迄今为止,在大多数已发表的著作中,影像科学界尚未将其结果与基因组学,蛋白质组学和生理功能的统一放在首位。图像与其他形式的生物学数据相对隔离,削弱了我们构思和解决研究和临床实践中许多基本问题的能力。本演讲将从成像和图像处理的角度解释生物学知识整合在基础研究和临床应用中所面临的挑战。将会发现进步的障碍,成像界的孤立以及新的和未来的生物科学的主流,因此可以强调对变革的紧迫和迫切的需求。

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