平行药物系统：基于大语言模型和三类人的框架与方法

林飞; 王飞跃; 田永林; 丁显廷; 倪清桦; 王静; 申乐

doi:10.11959/j.issn.2096-6652.202409

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平行药物系统：基于大语言模型和三类人的框架与方法

学术论文 | 更新时间：2024-06-05

- 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
- 智能科学与技术学报 2024年6卷第1期页码：88-99
- 作者机构：
  
  1.澳门科技大学创新工程学院工程科学系，澳门 999078
  2.中国科学院自动化研究所复杂系统管理与控制国家重点实验室，北京 100190
  3.中国科学院大学人工智能学院，北京 100049
  4.上海交通大学生物医学工程学院，个性化医学研究院，上海 200030
  5.青岛智能产业技术研究院，山东青岛 266109
  6.中国医学科学院北京协和医院麻醉科，北京 100730
- 作者简介：
  
  [ "林飞（1994- ），男，澳门科技大学博士生，主要研究方向为平行系统、人工智能药物研发、大语言模型、多模态感知、生成式人工智能。" ]
  [ "王飞跃（1961- ），男，博士，中国科学院自动化研究所复杂系统管理与控制国家重点实验室主任，澳门科技大学特聘教授，主要研究方向为平行系统的方法与应用、社会计算、平行智能、知识自动化。" ]
  [ "田永林（1994- ），男，中国科学院自动化研究所博士后，主要研究方向为平行系统、自动驾驶、场景工程。" ]
  [ "丁显廷（1984- ），男，博士，上海交通大学特聘教授，国际合作交流处副处长，生物医学工程学院分子医学纳米平台主任，个性化医学研究院常务副院长，主要研究方向为基于人工智能的药物设计、个体化诊疗标志物发现与检测。" ]
  [ "倪清桦（1999- ），女，澳门科技大学博士生，主要研究方向为平行智能、区块链、数字孪生、智能系统等。" ]
  [ "王静（1992- ），男，中国科学院自动化研究所工程师，主要研究方向为平行医疗理论与方法、智慧医疗系统的构建与应用。" ]
  [ "申乐（1979- ），男，医学博士与理学博士，中国医学科学院北京协和医院麻醉科常务副主任（主持工作），主要研究方向为围术期麻醉医疗质量管理与患者安全、疼痛与瘙痒的机制与生物干预。" ]
- 基金信息：
  
  国家自然科学基金项目(61533019);澳门特别行政区科学技术发展基金资助项目(0093/2023/RIA2)
- DOI：10.11959/j.issn.2096-6652.202409
  中图分类号： TP399
- 收稿：2024-01-16，
  
  修回：2024-02-26，
  
  纸质出版：2024-03-15
- 稿件说明：
移动端阅览
林飞, 王飞跃, 田永林, 等. 平行药物系统：基于大语言模型和三类人的框架与方法[J]. 智能科学与技术学报, 2024,6(1):88-99.

LIN Fei, WANG Fei-Yue, TIAN Yonglin, et al. Parallel drug systems: framework and methods based on large language models and three types of humans[J]. Chinese Journal of Intelligent Science and Technology, 2024, 6(1): 88-99.
林飞, 王飞跃, 田永林, 等. 平行药物系统：基于大语言模型和三类人的框架与方法[J]. 智能科学与技术学报, 2024,6(1):88-99. DOI： 10.11959/j.issn.2096-6652.202409.

LIN Fei, WANG Fei-Yue, TIAN Yonglin, et al. Parallel drug systems: framework and methods based on large language models and three types of humans[J]. Chinese Journal of Intelligent Science and Technology, 2024, 6(1): 88-99. DOI： 10.11959/j.issn.2096-6652.202409.

摘要

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。

Abstract

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.

关键词

Keywords

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