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Application Research of Biochemistry in Life Science Based on Artificial Intelligence

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Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1303))

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Abstract

Biochemistry is an important basic subject in the natural sciences. It is the study of life phenomena and the laws of life activities. The conclusions of biochemistry are all based on experiments. Biochemistry helps cultivate and improve students' scientific literacy, and plays an important role in constructing a professional biochemistry knowledge system and improving students' scientific thinking ability. Modern technology provides new research methods for the application of biochemistry in life sciences. High-tech applications under the influence of the artificial intelligence environment can not only save manpower and resources, but also become more intelligent and environmentally friendly, so as to achieve data. Monitoring. The purpose of this article is to study the application of biochemistry in life sciences based on artificial intelligence. This article starts with artificial intelligence, reforms the traditional manual operation, and uses artificial intelligence as the basis to in-depth research on the application of biochemistry in life sciences. Experimental results show that artificial intelligence can greatly advance the work process and reduce the experimental failure rate.

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Correspondence to Yunrong Zhang .

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Ge, S., Zhang, Y. (2021). Application Research of Biochemistry in Life Science Based on Artificial Intelligence. In: Atiquzzaman, M., Yen, N., Xu, Z. (eds) Big Data Analytics for Cyber-Physical System in Smart City. BDCPS 2020. Advances in Intelligent Systems and Computing, vol 1303. Springer, Singapore. https://doi.org/10.1007/978-981-33-4572-0_40

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  • DOI: https://doi.org/10.1007/978-981-33-4572-0_40

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-33-4573-7

  • Online ISBN: 978-981-33-4572-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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