智能科学与技术学报 (Mar 2024)
Parallel drug systems: framework and methods based on large language models and three types of humans
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.
