人工智能生物学:未来中医药现代化研究重要战略资源和竞争热点

Artificial Intelligence-Biology: An Important Strategic Resource and Competitive Hot Spot in the Future Research of TCM Modernization

  • 摘要: 中医药现代化在二十年的发展过程中取得了一些成果,但仍存在诸多障碍。随着人工智能技术在生物科学领域研究中的应用(包括蛋白结构解析、新药研发等),或许可以为突破制约中医药现代化的障碍带来新的研究思路和策略。中医药临床数据及研究数据的不断积累,也为开展人工智能与中医药的融合研究提供了基础。该文分析了人工智能助力中医药研究的热点与趋势,并进一步探讨了人工智能技术在中医大家学术思想传承与创新、中医证候治则治法的现代生物学基础、中药物质基础及起效机制等中医药关键科学问题研究中的推动作用,这可能是未来中医药现代化的战略资源和竞争赛点。

     

    Abstract: The modernization of traditional Chinese medicine (TCM) has made some achievements in the past two decades, but there are still many obstacles. With the application of artificial intelligence(AI)technology in the field of Biological Science (including protein structure analysis, new drug development, etc.), it may bring new research ideas and strategies for the breakthrough of obstacles restricting the modernization of TCM. The continuous accumulation of clinical and research data of TCM also provides the basis for the integration of AI and TCM. This article analyzes the hotspot and forward of AI in the field of TCM, then further investigates the enormous impetus of AI technology in the research of key scientific issues of TCM, such as the inheritance and innovation of academic ideas of TCM masters, the modern biological basis of TCM therapeutic principle, the material basis and mechanism of action of TCM. Those may be the strategic resource and competition point for the modernization of TCM in the future.

     

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