Artificial intelligence-powered microfluidics for nanomedicine and materials synthesis.

Journal: Nanoscale
Published Date: Dec 2, 2021

Abstract

Artificial intelligence (AI) is an emerging technology with great potential, and its robust calculation and analysis capabilities are unmatched by traditional calculation tools. With the promotion of deep learning and open-source platforms, the threshold of AI has also become lower. Combining artificial intelligence with traditional fields to create new fields of high research and application value has become a trend. AI has been involved in many disciplines, such as medicine, materials, energy, and economics. The development of AI requires the support of many kinds of data, and microfluidic systems can often mine object data on a large scale to support AI. Due to the excellent synergy between the two technologies, excellent research results have emerged in many fields. In this review, we briefly review AI and microfluidics and introduce some applications of their combination, mainly in nanomedicine and material synthesis. Finally, we discuss the development trend of the combination of the two technologies.

Authors

  • Linbo Liu
    School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore.
  • Mingcheng Bi
    Institute of Process Equipment, College of Energy Engineering, Zhejiang University, Hangzhou 310027, P.R. China.
  • Yunhua Wang
    John A. Paulson School of Engineering and Applied Science, Harvard University, Cambridge, MA 02138, USA.
  • Junfeng Liu
    Indiana University-Purdue University, Indianapolis , 723 West Michigan St., SL 280, Indianapolis, Indiana 46202, United States.
  • Xiwen Jiang
    College of Biological Science and Engineering, Fuzhou university, Fuzhou 350108, P.R. China.
  • Zhongbin Xu
    Institute of Process Equipment, College of Energy Engineering, Zhejiang University, Hangzhou 310027, P.R. China.
  • Xingcai Zhang
    John A. Paulson School of Engineering and Applied Science, Harvard University, Cambridge, MA 02138, USA.

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