刘丽丽,郑明月,袁野,李叙潼,樊荣,魏炜,赵金鑫,齐国斌,岳华,宫丽崑,张松平,李家琛,孙宇宸,陈笑艳,陈瑶,刘昕,张潇,高月红,李剑峰,陈凯先,马光辉,岳建民.人工智能赋能生物医药研发范式变革与应用场景研究[J].中国科学院院刊,2026,41(6):1139-1151.

人工智能赋能生物医药研发范式变革与应用场景研究

Artificial intelligence-driven paradigm transformation in biopharmaceutical R&D: Applications and emerging scenarios

刘丽丽¹
中国科学院上海药物研究所 上海 201203
LIU Lili¹
Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
郑明月¹
中国科学院上海药物研究所 上海 201203
ZHENG Mingyue¹
Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
袁野²
中国科学院过程工程研究所 生物药制备与递送全国重点实验室 北京 100190
YUAN Ye²
State Key Laboratory of Biopharmaceutical Preparation and Delivery, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
李叙潼¹
中国科学院上海药物研究所 上海 201203
LI Xutong¹
Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
樊荣²
中国科学院过程工程研究所 生物药制备与递送全国重点实验室 北京 100190
FAN Rong²
State Key Laboratory of Biopharmaceutical Preparation and Delivery, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
魏炜²
中国科学院过程工程研究所 生物药制备与递送全国重点实验室 北京 100190
WEI Wei²
State Key Laboratory of Biopharmaceutical Preparation and Delivery, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
赵金鑫¹
中国科学院上海药物研究所 上海 201203
ZHAO Jinxin¹
Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
齐国斌²
中国科学院过程工程研究所 生物药制备与递送全国重点实验室 北京 100190
QI Guobin²
State Key Laboratory of Biopharmaceutical Preparation and Delivery, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
岳华²
中国科学院过程工程研究所 生物药制备与递送全国重点实验室 北京 100190
YUE Hua²
State Key Laboratory of Biopharmaceutical Preparation and Delivery, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
宫丽崑¹
中国科学院上海药物研究所 上海 201203
GONG Likun¹
Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
张松平²
中国科学院过程工程研究所 生物药制备与递送全国重点实验室 北京 100190
ZHANG Songping²
State Key Laboratory of Biopharmaceutical Preparation and Delivery, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
李家琛²
中国科学院过程工程研究所 生物药制备与递送全国重点实验室 北京 100190
LI Jiachen²
State Key Laboratory of Biopharmaceutical Preparation and Delivery, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
孙宇宸¹
中国科学院上海药物研究所 上海 201203
SUN Yuchen¹
Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
陈笑艳¹
中国科学院上海药物研究所 上海 201203
CHEN Xiaoyan¹
Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
陈瑶²
中国科学院过程工程研究所 生物药制备与递送全国重点实验室 北京 100190
CHEN Yao²
State Key Laboratory of Biopharmaceutical Preparation and Delivery, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
刘昕²
中国科学院过程工程研究所 生物药制备与递送全国重点实验室 北京 100190
LIU Xin²
State Key Laboratory of Biopharmaceutical Preparation and Delivery, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
张潇²
中国科学院过程工程研究所 生物药制备与递送全国重点实验室 北京 100190
ZHANG Xiao²
State Key Laboratory of Biopharmaceutical Preparation and Delivery, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
高月红¹
中国科学院上海药物研究所 上海 201203
GAO Yuehong¹
Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
李剑峰¹
中国科学院上海药物研究所 上海 201203
LI Jianfeng¹
Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
陈凯先¹
中国科学院上海药物研究所 上海 201203
CHEN Kaixian¹
Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
马光辉^2*
中国科学院过程工程研究所 生物药制备与递送全国重点实验室 北京 100190
MA Guanghui^2*
State Key Laboratory of Biopharmaceutical Preparation and Delivery, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
岳建民^1*
中国科学院上海药物研究所 上海 201203
YUE Jianmin^1*
Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China

         人工智能;生物医药;研发范式;多模态模型;协同创新生态

        artificial intelligence;biopharmaceutical;paradigm transformation;multimodal models;collaborative innovation ecosystem

        生物医药产业是关乎国家科技创新发展与民生保障的重要领域。随着人工智能（AI）技术的快速发展及其与生命科学的深度融合，生物医药研发正经历由传统经验驱动的试错模式向数据驱动与预测验证相结合的范式转型。文章系统梳理了数据驱动、机制驱动与智能驱动融合下的生物医药研发范式重塑路径，重点分析了AI在药物发现与设计、成药性评价、递送系统设计和优化、非临床与临床研究及智能制造等关键环节中的应用进展。在此基础上，进一步探讨了未来发展趋势，指出多模态智能与机制可解释性的融合，以及以数据为核心的协同创新生态构建，将成为推动“AI+生物医药”产业高质量发展的关键方向。

        The biopharmaceutical industry is a critical domain underpinning national scientific and technological innovation development and public health. With the rapid advancement of artificial intelligence (AI) and its deep integration with the life sciences, biomedicine research is undergoing a paradigm shift from traditional experience-driven trial-and-error approaches to data-driven and predictive validation-based models. This study systematically examines the pathways for reshaping research in biomedicine paradigms under the convergence of data-driven, mechanism-driven, and intelligence-driven approaches. It focuses on recent advances in the application of AI across key stages, including drug discovery and design, druggability evaluation, delivery system design and optimization, nonclinical and clinical research, and intelligent manufacturing. Building on these analyses, the study further explores future development trends, highlighting that the integration of multimodal intelligence with mechanistic interpretability, as well as the construction of data-centric collaborative innovation ecosystems, will serve as key drivers for the high-quality development of the AI-enabled biopharmaceutical industry.