Innovative Application of Large Language Models in Biology and Medicine Under Artificial Intelligence for Science Paradigm.

Currently,the artificial intelligence for science paradigm is evolving rapidly,with the new generation of artificial intelligence technologies represented by large language models(LLM)having injected transformative momentum into biological and medical research.Systematically examining the innovative applications of LLM in biomedical contexts under the artificial intelligence for science paradigm can provide critical references for methodological innovation and research paradigm transformation in deciphering complex disease mechanisms and advancing precision medicine.Through comparative analysis of high-impact peer-reviewed publications and preprints in the past two years,we elucidate cutting-edge research progress,developmental trajectories,and persistent challenges in LLM applications across biological and medical domains.Furthermore,we make an outlook on the future of this rapidly evolving field and proposes essential considerations for addressing emerging interdisciplinary challenges.

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Publication Details

Journal
PubMed
Published
2025-12-01
DOI
https://doi.org/10.3881/j.issn.1000-503x.16605
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Innovative Application of Large Language Models in Biology and Medicine Under Artificial Intelligence for Science Paradigm.

Xing-Li Cun, Chen-Jun Ding, Fang Chen, Xin Zhang
PubMed
Artificial Intelligence in Healthcare and Education
article

Innovative Application of Large Language Models in Biology and Medicine Under Artificial Intelligence for Science Paradigm.

Xing-Li Cun, Chen-Jun Ding, Fang Chen, Xin Zhang
article en

Abstract

Currently,the artificial intelligence for science paradigm is evolving rapidly,with the new generation of artificial intelligence technologies represented by large language models(LLM)having injected transformative momentum into biological and medical research.Systematically examining the innovative applications of LLM in biomedical contexts under the artificial intelligence for science paradigm can provide critical references for methodological innovation and research paradigm transformation in deciphering complex disease mechanisms and advancing precision medicine.Through comparative analysis of high-impact peer-reviewed publications and preprints in the past two years,we elucidate cutting-edge research progress,developmental trajectories,and persistent challenges in LLM applications across biological and medical domains.Furthermore,we make an outlook on the future of this rapidly evolving field and proposes essential considerations for addressing emerging interdisciplinary challenges.

PubMedVol. 47(6)
Frontier Science Foundation (CH), National Science Library (CN), University of Chinese Academy of Sciences (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 36%
Artificial Intelligence in Healthcare and Education
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Innovative Application of Large Language Models in Biology and Medicine Under Artificial Intelligence for Science Paradigm. — Xing-Li Cun, Chen-Jun Ding, et al. · PubMed (2025) | TGRS Research Map | TGRS