The Large Language Models on Biomedical Data Analysis: A Survey.

Journal: IEEE journal of biomedical and health informatics
Published Date:

Abstract

With the rapid development of Large Language Model (LLM) technology, it has become an indispensable force in biomedical data analysis research. However, biomedical researchers currently have limited knowledge about LLM. Therefore, there is an urgent need for a summary of LLM applications in biomedical data analysis. Herein, we propose this review by summarizing the latest research work on LLM in biomedicine. In this review, LLM techniques are first outlined. We then discuss biomedical datasets and frameworks for biomedical data analysis, followed by a detailed analysis of LLM applications in genomics, proteomics, transcriptomics, radiomics, single-cell analysis, medical texts and drug discovery. Finally, the challenges of LLM in biomedical data analysis are discussed. In summary, this review is intended for researchers interested in LLM technology and aims to help them understand and apply LLM in biomedical data analysis research.

Authors

  • Wei Lan
    School of Computer, Electronics and Information, Guangxi University, 100 Daxue East Road, Nanning, 530004, China.
  • Zhentao Tang
  • Mingyang Liu
    Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Qingfeng Chen
    School of Computer, Electronic and Information, and State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, Guangxi University, No.100 Daxue Road, Nanning, 530004, China. qingfeng@gxu.edu.cn.
  • Wei Peng
    Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, United States.
  • Yi-Ping Phoebe Chen
    Department of Computer Science and Information Technology, School of Engineering and Mathematical Sciences La Trobe University Bundoora Victoria Australia.
  • Yi Pan
    Department of Neurosis and Psychosomatic Diseases, Huzhou Third Municipal Hospital, The Affiliated Hospital of Huzhou University, Huzhou, Zhejiang, China.