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Tytuł:
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Application and prospect of cutting-edge information technology in biomedical big data.
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Autorzy:
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Zheng GY; CAS Key Laboratory of Computational Biology, Bio-Med Big Data Center, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
Zeng T; CAS Key Laboratory of Computational Biology, Bio-Med Big Data Center, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
Li YX; CAS Key Laboratory of Computational Biology, Bio-Med Big Data Center, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China.; Guangzhou Laboratory, Guangzhou 510320, China.; Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310013, China.; Collaborative Innovation Center for Genetics and Development, Fudan University, Shanghai 200438, China.
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Źródło:
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Yi chuan = Hereditas [Yi Chuan] 2021 Oct 20; Vol. 43 (10), pp. 924-929.
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Typ publikacji:
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Journal Article
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Język:
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English
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Imprint Name(s):
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Original Publication: Beijing : Ke xue chu ban she,
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MeSH Terms:
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Biomedical Research*
Information Technology*
Artificial Intelligence ; Big Data ; Cloud Computing
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Contributed Indexing:
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Keywords: artificial intelligence; blockchain; cloud computing; new paradigm of data intensive scientific research; omics
Local Abstract: [Publisher, Chinese] 近年来,随着以高通量组学检测技术为代表的生物技术(biological technology, BT)的发展,生物医学研究领域开始进入大数据时代。面对高维度、跨层次、多模态生物医学大数据,科学研究需要数据密集型科研新范式。云计算、区块链、人工智能等前沿信息技术(information technology, IT)的蓬勃发展为这种新型研究范式的实践提供了技术手段。本文对云计算、区块链、人工智能等前沿信息技术在生物医学大数据中的应用进行了描述,并对数据密集型科研新范式支撑环境的构建提出了前瞻展望,以期建立融合BT&IT 技术的新型研究方案和科研新范式,最终推动生物医学研究跨越式发展。.
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Entry Date(s):
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Date Created: 20211027 Date Completed: 20211028 Latest Revision: 20211028
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Update Code:
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20240105
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DOI:
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10.16288/j.yczz21-192
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PMID:
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34702704
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In recent years, with the development of various high-throughput omics based biological technologies (BT), biomedical research began to enter the era of big data. In the face of high-dimensional, multi-domain and multi-modal biomedical big data, scientific research requires a new paradigm of data intensive scientific research. The vigorous development of cutting-edge information technologies (IT) such as cloud computing, blockchain and artificial intelligence provides technical means for the practice of this new research paradigm. Here,we describe the application of such cutting-edge information technologies in biomedical big data, and propose a forward-looking prospect for the construction of a new paradigm supporting environment for data intensive scientific research. We expect to establish a new research scheme and new scientific research paradigm integrating BT & IT technology, which can finally promote the great leap forward development of biomedical research.
