专利视角下人工智能与生命科学技术融合演化研究
Research on the fusion and evolution of artificial intelligence and life science technology from the perspective of patent
张凌 1齐阳天2
作者信息
- 1. 武汉科技大学管理学院，武汉 430081;武汉科技大学湖北产业政策与管理研究中心，武汉 430081
- 2. 武汉科技大学管理学院，武汉 430081
- 折叠
摘要
该研究旨在揭示1991-2024年人工智能与生命科学技术融合的演化路径，为政府和企业提供决策支持。基于IncoPat全球专利数据，研究综合运用统计分析、K-means聚类、词向量建模及社会网络分析等方法，划分技术生命周期阶段，并测算融合度与相似度，解析专利分布与共现网络。结果表明：融合过程历经1991-2015年萌芽期、2016-2019年缓慢发展期和2020-2024年快速发展期；主流AI算法由机器学习、神经网络演进为深度学习、卷积神经网络等；应用场景从基础数据处理拓展至医学影像识别、药物研发与精准医疗。尽管技术共现网络规模显著扩大，但密度下降、聚类系数降低，反映"技术孤岛"问题仍存。研究认为，两领域已进入深度融合阶段，未来需加强跨学科协同，构建高效融合的创新生态系统。
Abstract
The research aims to reveal the evolutionary path of the integration of artificial intelligence and life sciences technology from 1991 to 2024, and provide decision-making support for governments and enterprises. Based on IncoPat\'s global patent data, the research comprehensively uses statistical analysis, K-means clustering, word vector modeling, and social network analysis to divide the technology life cycle stages, measure fusion and similarity, and analyze patent distribution and co-occurrence networks. The results show that: the integration process has gone through a budding period from 1991 to 2015, a slow development period from 2016 to 2019, and a rapid development period from 2020 to 2024; mainstream AI algorithms have evolved from machine learning and neural networks to deep learning, convolutional neural networks, etc.; Application scenarios have expanded from basic data processing to medical image recognition, drug research and development and precision medicine. Although the scale of the technology co-occurrence network has expanded significantly, the density has declined and the clustering coefficient has decreased, reflecting that the problem of "technology islands" still exists. The research believes that the two fields have entered a stage of deep integration, and interdisciplinary collaboration needs to be strengthened in the future to build an efficiently integrated innovation ecosystem.?????关键词
人工智能/生命科学/技术融合/专利分析/社会网络分析Key words
Artificial Intelligence/Life sciences/Technology integration/Patent analysis/Social Network Analysis引用本文复制引用
张凌,齐阳天.专利视角下人工智能与生命科学技术融合演化研究[EB/OL].(2026-09-29)[2026-10-01].http://www.paper.edu.cn/releasepaper/content/202609-35.学科分类
生物科学现状、生物科学发展/计算技术、计算机技术
