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首页> 外文期刊>Electronics Letters >Johns Hopkins on the chip: microsystems and cognitive machines for sustainable, affordable, personalised medicine and healthcare
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Johns Hopkins on the chip: microsystems and cognitive machines for sustainable, affordable, personalised medicine and healthcare

机译:约翰·霍普金斯(Johns Hopkins)的芯片:用于可持续,负担得起的个性化医疗和保健的微系统和认知机器

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摘要

Semiconductor technology is contributing to the advancement of biotechnology, medicine and healthcare delivery in ways that it was never envisioned ?? from chip micro-arrays, to scientific grade CMOS imagers and ion sensing arrays to implantable prosthesis. This exponential growth of sensory microsystems has led to an exponential growth of data. Cognitive machines, i.e. advanced computer architectures and algorithms, are carefully co-designed to extract knowledge from such health data making rational decisions and recommendations for therapies. Nano, micro and macro robotics driven by sophisticated algorithms interface to the human body at different levels and scales, from nano-scale molecules to micron-scale cells to networks and all the way to the scale of organisms. The present era is one where semiconductor technology and the `chip?? is the foundation of sustainable and affordable personalised medicine and healthcare delivery.
机译:半导体技术以前所未有的方式为生物技术,医学和医疗保健的发展做出了贡献。从芯片微阵​​列到科学级CMOS成像器,离子感测阵列再到植入式假体。感觉微系统的这种指数增长导致了数据的指数增长。精心设计了认知机器(即高级计算机体系结构和算法),以从此类健康数据中提取知识,从而制定合理的决策和治疗建议。由复杂算法驱动的纳米,微型和宏观机器人技术可以在不同层次和规模上与人体交互,从纳米分子到微米级细胞再到网络,再到生物体。当前时代是半导体技术和“芯片”的时代。是可持续且负担得起的个性化医疗和保健服务的基础。

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  • 来源
    《Electronics Letters》 |2011年第26期|p.S34-S37|共4页
  • 作者

    Andreou A.G.;

  • 作者单位

    Department of Electrical and Computer Engineering and the Whitaker Biomedical Engineering Institute, The Johns Hopkins University, Baltimore, MD USA;

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  • 正文语种 eng
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