在科技日新月异的今天，人工智能（AI）技术正以不可阻挡之势席卷各行各业，而中医药这一古老而神秘的领域也迎来了AI技术的深度赋能。近日，由中国高校浙江校友会联盟与江西中医药大学浙江校友会联合主办的“AI助力生命健康”主题座谈会，汇聚了来自复旦大学、上海交通大学、中国科技大学、江西中医药大学等知名高校的专家代表，以及浙江省中医药学会的权威人士，共同探讨AI技术在中医药健康新产品开发中的广阔前景与无限可能。
会上，中国高校浙江校友会联盟主席、杭州市科学技术发展研究会理事长、杭州师范大学教授曹明富发表了一场振聋发聩的主题演讲。他深刻指出，AI技术的图像处理技术如同一双锐利的眼睛，能够穿透中药指纹图的复杂纹理，对其进行高精度的深度挖掘和分析。这一技术的运用，不仅极大地提升了中药质量的可控性和准确性，更为中医药健康新产品的开发奠定了坚实的基础。
曹明富教授进一步强调，AI技术不仅仅停留在对中药成分的分析上，它还能够利用基础模型技术在浩瀚如海的数据中，精准地找出单味中药有效成分与不同组方下复杂有效成分之间的量效关系。这无疑是中医药领域的一次颠覆性创新，它打破了传统中医药研究的局限，为中医药健康新产品的开发开辟了全新的路径。
而端侧智能技术的引入，更是为中医药健康产品的信息流闭环提供了可能。从研发到生产，再到应用，端侧智能技术能够实时监测、收集并分析数据，为产品的二次开发提供了宝贵的真实世界数据依据。这一技术的运用，无疑将极大地推动中医药产品的现代化和国际化进程。
座谈会上，与会嘉宾们纷纷就AI技术在中医药领域的应用前景、挑战与机遇展开了热烈的讨论。他们一致认为，AI技术的引入将为中医药健康新产品的开发带来革命性的变化。它不仅能够提高产品的有效性和安全性，还能够推动中医药产业的转型升级，让这一古老而神秘的领域焕发出新的生机与活力。
以江西中医药大学为例，该校在中医药领域的研究历史悠久、成果丰硕。然而，在传统的研究模式下，新药的开发往往耗时费力、效率低下。而AI技术的引入，无疑为该校的中医药研究注入了新的活力。通过AI技术的辅助，该校的科研人员能够更快地筛选出具有潜力的中药成分，优化组方，提高新药开发的成功率。
此次座谈会的成功举办，不仅彰显了AI技术在中医药领域的重要地位，更为中医药健康新产品的开发指明了方向。与会嘉宾们纷纷表示，将进一步加强合作与交流，共同推动AI技术在中医药领域的广泛应用和深入发展。他们坚信，在AI技术的助力下，中医药这一古老而神秘的领域必将焕发出更加璀璨的光芒，为人类健康事业作出更大的贡献。
总之，AI技术作为中医药健康新产品开发的革命性引擎，正以其独特的优势和无限的潜力，引领着中医药领域迈向一个全新的发展阶段。我们有理由相信，在AI技术的推动下，中医药这一中华民族的瑰宝必将绽放出更加绚丽的光彩！（内容来源：《中国中医药报》）
作者简介：梁世杰 中医高年资主治医师，从事中医临床工作24年，积累了较丰富的临床经验。师从首都医科大学附属北京中医院肝病科主任医师、著名老中医陈勇，侍诊多载，深得器重，尽得真传！擅用“商汤经方分类疗法”、专病专方结合“焦树德学术思想”“关幼波十纲辨证”学术思想治疗疑难杂症为特色。现任北京厚德为怀医生集团渐冻症研究中心主任，北京树德堂中医研究院研究员，北京中医药薪火传承新3+3工程—焦树德门人（陈勇）传承工作站研究员，国际易联易学与养生专委会常务理事，中国中医药研究促进会焦树德学术传承专业委员会委员，中国药文化研究会中医药慢病防治分会首批癌症领域入库专家。荣获2020年中国中医药研究促进会仲景医学分会举办的第八届医圣仲景南阳论坛“经方名医”荣誉称号。2023年首届京津冀“扁鹊杯”燕赵医学研究主题征文优秀奖获得者。事迹荣登2024年第四季刊《当代科学家》杂志。
AI Technology: A Revolutionary Engine for the Development of New Health Products in Traditional Chinese Medicine
With the rapid development of science and technology, artificial intelligence (AI) technology is sweeping all walks of life, and the ancient and mysterious field of traditional Chinese medicine has also ushered in the deep empowerment of AI technology. Recently, a symposium on the theme of "AI for Life and Health" was jointly hosted by the Zhejiang Alumni Association of Zhejiang University and the Zhejiang Alumni Association of Jiangxi University of Chinese Medicine. Experts from well-known universities such as Fudan University, Shanghai Jiao Tong University, University of Science and Technology of China, and Jiangxi University of Chinese Medicine, as well as authoritative figures from Zhejiang Chinese Medicine Association, gathered to discuss the broad prospects and infinite possibilities of AI technology in the development of new Chinese medicine health products.
At the meeting, Cao Mingfu, president of the Zhejiang Alumni Association Alliance of Chinese Universities, director of the Hangzhou Science and Technology Development Research Institute, and professor of Hangzhou Normal University, delivered a deafening keynote speech. He pointed out that the image processing technology of AI technology is like a sharp eye, which can penetrate the complex texture of the fingerprint map of Chinese medicine, and conduct high-precision depth excavation and analysis. The application of this technology has not only greatly improved the controllability and accuracy of traditional Chinese medicine, but also laid a solid foundation for the development of new products for traditional Chinese medical care.
Professor Cao Mingfu further emphasized that AI technology is not only limited to the analysis of Chinese medicine components, but can also use basic model technology to accurately find the quantitative relationship between the effective components of single Chinese medicine and the complex effective components under different formulations in the vast sea of data. This is undoubtedly a disruptive innovation in the field of traditional Chinese medicine, which breaks the limitations of traditional traditional Chinese medical research and opens up a whole new path for the development of new products for traditional Chinese health.
The introduction of end-side intelligence technology has made it possible to close the information flow of Chinese medicine health products. From R & D to production to application, end-side intelligence technology can monitor, collect and analyze data in real time, providing a valuable real-world data basis for the secondary development of products. The application of this technology will undoubtedly greatly promote the modernization and internationalization of Chinese medicine products.
At the symposium, the guests discussed the application prospects, challenges and opportunities of AI technology in the field of traditional Chinese medicine. They all agreed that the introduction of AI technology will bring revolutionary changes to the development of new Chinese medicine health products. It can not only improve the effectiveness and safety of products, but also promote the transformation and upgrading of the traditional Chinese medicine industry, giving new life and vitality to this ancient and mysterious field.
Take Jiangxi University of Chinese Medicine, for example, which has a long history of research and fruitful results in the field of Chinese medicine. However, under the traditional research model, the development of new drugs is often time-consuming, laborious and inefficient. The introduction of AI technology has undoubtedly injected new vitality into the school's traditional Chinese medicine research. With the help of AI technology, the researchers at the university can quickly screen out potential Chinese medicine components, optimize formulations, and improve the success rate of new drug development.
The successful holding of this symposium not only highlights the important position of AI technology in the field of traditional Chinese medicine, but also points out the direction for the development of new health products of traditional Chinese medicine. The participants expressed that they will further strengthen cooperation and exchanges and jointly promote the wide application and in-depth development of AI technology in the field of traditional Chinese medicine. They firmly believe that with the help of AI technology, this ancient and mysterious field of traditional Chinese medicine will shine even brighter and make greater contributions to the cause of human health.
In short, AI technology, as a revolutionary engine for the development of new health products in traditional Chinese medicine, is leading the field of traditional Chinese medicine into a new stage of development with its unique advantages and unlimited potential. We have reason to believe that under the impetus of AI technology, this treasure of the Chinese nation will surely shine even more brilliantly!
Author Bio: Liang Shijie is a senior medical practitioner in traditional Chinese medicine. He has been engaged in traditional medicine clinical work for 24 years and has accumulated a wealth of clinical experience. Following Chen Yong, chief physician of liver disease at Beijing Traditional Medicine Hospital, affiliated with Capital Medical University, and renowned old Chinese medicine, he has been treated for many years and received great attention. He specializes in the treatment of difficult diseases using "conversational traditional therapy" and special treatments combined with the academic ideas of Jiao Shude and Guan Yubo's ten-level diagnosis.He is currently the director of the Center for Diffusion Research of Dr. Houde Wei Group in Beijing, a researcher at the Shude Tang Institute of Chinese Medicine, and a fellow at the new 3 + 3 project of traditional Chinese medicine flame inheritance in Beijing - a scholar at the inheritance work station of Jiao Shude's protégés (Chen Yong),He is a standing committee member of the International Expert Committee on E-learning and Health Care, a member of the Jiao Shude Academic Heritage Special Committee of the Chinese Association for the Advancement of Chinese Medicine Research, and the first cancer specialist to be included in the chapter of the Chinese Pharmaceutical Culture Research Association. Won the 2020 China Association for the Promotion of Traditional Chinese Medicine Zhongjing Medical Branch held the eighth session of the Medical Saint Zhongjing Nanyang Forum "Classic Prescription Famous Doctor" honorary title. The winner of the first Beijing-Tianjin-Hebei "Pingui Cup" Yanzhao Medical Research Essay Award in 2023. The story was featured in the fourth edition of Current Scientist in 2024.
