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Innovative Application of Large Language Models in Biology and Medicine Under Artificial Intelligence for Science Paradigm
Xingli CUN, Chenjun DING, Fang CHEN, Xin ZHANG
Acta Academiae Medicinae Sinicae ›› 2025, Vol. 47 ›› Issue (6) : 969-981.
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Abbreviation (ISO4): Acta Academiae Medicinae Sinicae
Editor in chief: Xuetao CAO
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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.
artificial intelligence / large language model / biology / medicine / artificial intelligence for science
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