平行药物系统:基于大语言模型和三类人的框架与方法

Parallel drug systems:framework and methods based on large language models and three types of humans

近年来,随着物联网、大语言模型、多模态交互等新一代人工智能技术的迅猛发展,传统的药物研发、生产加工等过程面临着智能化转型的挑战。为此,以平行智能为理念,基于ACP方法和大语言模型提出了虚实交互的平行药物系统,并将三类人(数字人、机器人和生物人)的概念引入系统中,详细阐述了该系统的理论框架与构建方法。平行药物系统涵盖医药产业的全流程,药物研发阶段考虑了药物发现、实验室研究、临床试验等过程;药物生产加工阶段考虑了制药工厂运行、系统分析预测等方面;药物医疗保健阶段考虑了个性化用药咨询、增强现实用药指导、隐私安全等内容。平行药物系统打造了一个数字化的“药物空间”,旨在建立药物系统的新范式,推动智能化药物的革命。

With the rapid development of the next generation of artificial intelligence technologies,such as the internet of things,large language models,and multimodal interactions,the traditional processes of drug research and production processing had been facing the challenges of an intelligent transition in recent years.In this context,this paper used the theory of parallel intelligence as the research philosophy and proposed a virtual-real interactive parallel drug systems,utilizing the ACP approach and large language models.It incorporated the concept of three types of beings—digital humans,robots,and natural persons—into the systems,providing a detailed discussion on the theoretical underpinnings,construction techniques,and potential application scenarios of the systems.The parallel drug systems covered the entire process of the pharmaceutical industry.For the drug development phase,it considered processes such as drug discovery,laboratory research,and clinical trials.In the production processing phase,it encompassed pharmaceutical manufacturing operations and system analysis predictions.The medical healthcare subsystem included personalized medication consultation,augmented reality drug guidance,and privacy security.The whole systems open up a digitized“drug space”,aiming to establish a new paradigm for the drug systems and propel the revolution of intelligent medication.