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Trends in biotechnology. 2023 Apr;41(4):476-479. doi: 10.1016/j.tibtech.2022.09.019 Q114.92025

Towards machine learning for hydrogel drug delivery systems

面向水凝胶给药系统的机器学习技术探索 翻译改进

Cally Owh  1, Dean Ho  2, Xian Jun Loh  3, Kun Xue  4

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作者单位

  • 1 Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, #08-03 Innovis, Singapore 138634, Singapore; Department of Biomedical Engineering, National University of Singapore, 4 Engineering Drive 3, Engineering Block 4, Singapore 117583, Singapore.
  • 2 Department of Biomedical Engineering, National University of Singapore, 4 Engineering Drive 3, Engineering Block 4, Singapore 117583, Singapore; The N.1 Institute for Health (N.1), 28 Medical Drive, National University of Singapore (NUS), 116456, Singapore; The Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, 28 Medical Drive, National University of Singapore (NUS), 116456, Singapore; The Department of Pharmacology, Yong Loo Lin School of Medicine, 16 Medical Drive, National University of Singapore (NUS), 117600, Singapore. Electronic address: biedh@nus.edu.sg.
  • 3 Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, #08-03 Innovis, Singapore 138634, Singapore; Department of Materials Science and Engineering, National University of Singapore, 9 Engineering Drive 1, Singapore 117575, Singapore; School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, #01-30 General Office, Block N4.1, 639798, Singapore. Electronic address: lohxj@imre.a-star.edu.sg.
  • 4 Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, #08-03 Innovis, Singapore 138634, Singapore. Electronic address: xuek@imre.a-star.edu.sg.

    • DOI: 10.1016/j.tibtech.2022.09.019 PMID: 36376126

    摘要 Ai翻译

    Hydrogel drug delivery system development is complex and laborious, and machine learning (ML) techniques hold great promise in accelerating the process. We highlight recent advances and strategies for data collection and ML, and we discuss the potential for and barriers to the broader use of ML for hydrogel drug delivery systems. Keywords: ... ...点击完成人机验证后继续浏览
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    期刊名：Trends in biotechnology

    缩写：TRENDS BIOTECHNOL

    ISSN：0167-7799

    e-ISSN：1879-3096

    IF/分区：14.9/Q1

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