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Advances in Intelligent Biomedical Microfluidics

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Scope

The advances of Intelligent Biomedical Microfluidics (IBM) represent an emerging and rapidly expanding interdisciplinary biomedical research field which combines biology, medicine, chemistry, computer science, materials, and engineering principles for rapid and precise perception, detection, diagnosis, and therapy of disease. IBM has the advantages of small sample size, high-integration, miniaturization, automation, high-throughput, low power consumption, less pollution, and intelligence which leads to less human intervention. It develops innovative medical devices, micro/nano-platforms, sensory systems, biological products, and informatics methods for disease prediction, prevention, diagnosis, treatment, and monitoring. IBM, therefore, provides an important insight on precision medicine and biomedical engineering.

This special issue aims to provide an opportunity for researchers to contribute their most recent research and development in intelligent microfluidics and digital therapeutics. Topics of this special issue include, but are not limited to the following:

  • Microfluidics and biomedical lab-on-a-chip
  • Microfluidic Point-of-care Testing (POCT) and In Vitro Diagnostics (IVD)
  • Microfluidics for biological and chemical analysis
  • Microfluidics for single-cell and drug
  • Microfluidic sensing and detection
  • Microfluidics for liquid biopsy and molecular diagnosis
  • Intelligent digital therapeutics
  • Microfluidics for functional materials and biomedical applications
  • Organ-on-chips and model construction

Guest Editors

Dr. Jinhong Guo, Professor, Shanghai Jiao Tong University

Portrait of Dr. Jinhong Guo Dr. Jinhong Guo received his PhD degree in biomedical engineering from the Nanyang Technological University in 2014. After his doctoral studies, he was a postdoctoral fellow in the Pillar of Engineering Design at MIT-SUTD Singapore from 2014 to 2015. Currently, he is a full professor in Shanghai Jiao Tong University, China and executive dean of Chongqing Medical University, China. His current research focuses on Electrochemical Sensor and lab-on-a-chip devices for Point of Care Test toward clinical use.

Dr. Ye Tian, Associate Professor, Northeastern University

Portrait of Dr. Ye Tian Dr. Ye Tian is currently an associate professor (PI) in College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China. He received his Ph.D. degree from The University of Hong Kong, Hong Kong, China, in 2018. His research interests include Microfluidics, Biomaterials, Sensor and Biosensor, Soft Matter, Organ on a Chip and POCT.


Dr. Shiyang Tang, Lecturer, University of Birmingham

Portrait of Dr. Shiyang Tang Dr. Shiyang Tang currently is a Lecturer (Assistant Professor) in the Department of Electronic, Electrical and Systems Engineering at the University of Birmingham, UK. He received his BEng (1st class honours) in Electrical Engineering and PhD in Microelectromechanical Systems (MEMS) from the RMIT University, Australia, in 2012 and 2015, respectively. Dr. Tang's research interests include microfluidics, soft smart materials, and biosensors.

Submission Instructions

Please select "Special Issue: Advances in Intelligent Biomedical Microfluidics" as the section/category during the submission process. Please also indicate in your cover letter that your submission is intended for inclusion in the special issue.

Submission Deadline: June 30, 2023

Table of Contents

    • By
      • Gaozhe Cai
      • Zixin Yang
      • Yu-Cheng Chen
      • Yaru Huang
      • Lijuan Liang
      • Shilun Feng
      • Jianlong Zhao
    Magnetic beads manipulation in microfluidic chips is a promising research field for biological application, especially in the detection of biological targets. In this review, we intend to present a thorough and in-depth overview of recent magnetic beads ...
    • By
      • X. Xu
      • X. Huang
      • J. Sun
      • J. Chen
      • G. Wu
      • Y. Yao
      • N. Zhou
      • S. Wang
      • L. Sun
    Whether for cancer diagnosis or single-cell analysis, it remains a major challenge to isolate the target sample cells from a large background cell for high-efficiency downstream detection and analysis in an integrated chip. Therefore, in this paper, we ...
    • By
      • Qianbin Zhao
      • Sheng Yan
      • Boran Zhang
      • Kai Fan
      • Jun Zhang
      • Weihua Li
    There are so many non-Newtonian fluids in our daily life, such as milk, blood, cytoplasm, and mucus, most of which are viscoelastic heterogeneous liquid containing cells, inorganic ion, metabolites, and hormones. In microfluidic microparticle-manipulating ...