数字智能技术:精准传统中医药的新质量生产力
Junqing Zhu1, Xiaonan Liu1, Peng Gao1
1Shandong Key Laboratory of Digital Traditional Chinese Medicine, Institute of Pharmaceutical Research, Shandong University of Traditional Chinese Medicine, Jinan, China.
Frontiers in pharmacology
|April 23, 2025
概括
数字智能技术正在彻底改变中国传统医学 (TCM),提高质量控制,诊断和治疗. 这种整合开启了TCM应用的精度和数字化时代.
科学领域:
- 综合医学是一个整体的医学.
- 数字健康数字健康
- 药理学 药理学是指药理学的学科.
背景情况:
- 传统中医 (TCM) 提供了显著的疗效,但在质量评估,诊断和机制理解方面面临挑战.
- 经验知识主导着TCM,阻碍了标准化和客观评估.
- 传统医学复杂性涉及多种代谢物,标和途径,需要先进的分析方法.
研究的目的:
- 探索数字智能技术在中国传统医学中的应用.
- 通过技术进步解决TCM质量控制,诊断和治疗方面的挑战.
- 促进数字智能融入TCM的精准医学模型.
主要方法:
- 引入与TCM相关的标准数字智能技术.
- 审查当前的研究数字智能在TCM质量控制和评估.
- 对数字智能应用程序在协助TCM诊断,治疗和预防方面的分析.
主要成果:
- 数字智能技术为TCM中植物药物的客观质量评估提供了解决方案.
- 这些技术通过提供数据驱动的洞察力来提高诊断准确性和治疗有效性.
- 这项研究强调了越来越多的研究支持数字智能在TCM.
结论:
- 数字智能正在将中国传统医学转变为精确,智能和数字化系统.
- 整合数字智能对于克服现有的TCM挑战和推进其科学验证至关重要.
- 数字智能技术的进一步开发和应用将推动TCM进入医疗保健的未来.
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