Bioinformatics and Biomedical Informatics with ChatGPT: Year One Review

Fuente: arXiv
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Main Authors: Wang, Jinge, Cheng, Zien, Yao, Qiuming, Liu, Li, Xu, Dong, Hu, Gangqing
Format: Preprint
Published: 2024
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author Wang, Jinge
Cheng, Zien
Yao, Qiuming
Liu, Li
Xu, Dong
Hu, Gangqing
author_facet Wang, Jinge
Cheng, Zien
Yao, Qiuming
Liu, Li
Xu, Dong
Hu, Gangqing
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2403_15274
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Bioinformatics and Biomedical Informatics with ChatGPT: Year One Review
Wang, Jinge
Cheng, Zien
Yao, Qiuming
Liu, Li
Xu, Dong
Hu, Gangqing
Other Quantitative Biology
Artificial Intelligence
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.
title Bioinformatics and Biomedical Informatics with ChatGPT: Year One Review
topic Other Quantitative Biology
Artificial Intelligence
url https://arxiv.org/abs/2403.15274