Bioinformatics and Biomedical Informatics with ChatGPT: Year One Review

Jinge Wang; Zien Cheng; Qiuming Yao; Li Liu; Dong Xu; Gangqing Hu

Bioinformatics and Biomedical Informatics with ChatGPT: Year One Review

Other Quantitative Biology 2024-06-13 v2 Artificial Intelligence

Authors: Jinge Wang , Zien Cheng , Qiuming Yao , Li Liu , Dong Xu , Gangqing Hu

Abstract

The year 2023 marked a significant surge in the exploration of applying large language model (LLM) chatbots, notably ChatGPT, across various disciplines. We surveyed the applications of ChatGPT in bioinformatics and biomedical informatics throughout the year, covering omics, genetics, biomedical text mining, drug discovery, biomedical image understanding, bioinformatics programming, and bioinformatics education. Our survey delineates the current strengths and limitations of this chatbot in bioinformatics and offers insights into potential avenues for future developments.

Keywords

ChatGPT large language model bioinformatics biomedical informatics omics drug discovery text mining

Cite

@article{arxiv.2403.15274,
  title  = {Bioinformatics and Biomedical Informatics with ChatGPT: Year One Review},
  author = {Jinge Wang and Zien Cheng and Qiuming Yao and Li Liu and Dong Xu and Gangqing Hu},
  journal= {arXiv preprint arXiv:2403.15274},
  year   = {2024}
}

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Peer-reviewed and accepted by Quantitative Biology

Bioinformatics and Biomedical Informatics with ChatGPT: Year One Review

Abstract

Keywords

Cite

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