AI-driven smart pharmacology

Abstract

With the progress of digital technology and innovative drug R&D, machine learning and data-driven algorithms have been increasingly used to support the core work of pharmaceutical areas such as new drug discovery, drug reuse and drug supervision, etc.1 A new concept of "Smart Pharmacology" has gradually grown into a system with rich connotations and comprehensive coverage, and the related applications and industrial chain have high prospects for development. The so-called "Smart Pharmacology " mainly uses big data, cloud computing, AI, IoT, 5G, Blockchain and other forefront digital technologies to provide whole-process, information-based, intelligence-driven solutions for various scenarios in the pharmacy sectors, including new drug development, drug molecular design, hospital drug management, clinical drug decision support, modernization of traditional medicine, pharmacy informatization, drug regulation and other broad areas, with a wide range covering drug discovery, production, supply, circulation, procurement, allocation and monitoring. In fact, the emergency of smart pharmacology provides a comprehensive and optimized path for modernizing the whole life cycle management of drugs and instills new vitality into the development of modern pharmacy.