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Aplicación innovadora de modelos lingüísticos grandes en biología y medicina bajo el paradigma de inteligencia

Xing-Li Cun^1,2, Chen-Jun Ding², Fang Chen^2,3

¹Research and Consulting Center for The Frontier of the Intersection of Biotechnology and Information Technology(BT-IT),Chinese Academy of Sciences, Chengdu 610299,China.

Zhongguo yi xue ke xue yuan xue bao. Acta Academiae Medicinae Sinicae

|January 8, 2026

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.

Palabras clave:

inteligencia artificial inteligencia artificial para la ciencia biología modelo lingüístico grande medicina

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