Towards machine learning for hydrogel drug delivery systems.

Journal: Trends in biotechnology
Published Date: Nov 12, 2022

Abstract

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.

Authors

  • Cally Owh
    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.
  • Dean Ho
    The N.1 Institute for Health (N.1), National University of Singapore, 28 Medical Drive, Singapore 117456, Singapore.
  • Xian Jun Loh
    Institute of Materials Research and Engineering (IMRE), A*STAR, 2 Fusionopolis Way, #08-03 Innovis, Singapore 138634.
  • Kun Xue
    Institute of Materials Research and Engineering, A*STAR (Agency for Science, Technology and Research), 2 Fusionopolis Way, Innovis, #08-03, Singapore, 138634, Singapore.

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