AI-empowered visualization of nucleic acid testing.

Journal: Life sciences
PMID: 39488264

Abstract

AIMS: The visualization of nucleic acid testing (NAT) results plays a critical role in diagnosing and monitoring infectious and genetic diseases. The review aims to review the current status of AI-based NAT result visualization. It systematically introduces commonly used AI-based methods and techniques for NAT, emphasizing the importance of result visualization for accessible, clear, and rapid interpretation. This highlights the importance of developing a NAT visualization platform that is user-friendly and efficient, setting a clear direction for future advancements in making nucleic acid testing more accessible and effective for everyday applications.

Authors

  • Zehua Lu
    Beijing Advanced Innovation Center for Biomedical Engineering, School of Engineering Medicine & Shenzhen Institute of Beihang University, Beihang University, Beijing 10083, China.
  • Xiaogang Wang
    Department of Mathematics and Statistics, York University, Toronto, ON, Canada.
  • Junge Chen
    Beijing Advanced Innovation Center for Biomedical Engineering, School of Engineering Medicine & Shenzhen Institute of Beihang University, Beihang University, Beijing 10083, China. Electronic address: chenjg19@buaa.edu.cn.

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