Author
Yoshihiro Ogura, Group I, Modality Research Laboratories III, Research Function, R&D Division, DAIICHI SANKYO Co., Ltd.
Keywords
Smart Lab, Laboratory Automation, Remote Control, Process Standardization, Data Driven Drug Discovery
Abstract
In the post-COVID-19 era, there is a societal need to reform working styles. In the pharmaceutical industry’s research activities, there is a desire to control development costs and accelerate the research process and improving research efficiency through smart laboratories and laboratory automation is an important means to achieve these goals. In addition, with the rise of AI and machine learning, the proper management and use of data generated from research instruments (e.g. HPLC, SFC, etc.) is becoming increasingly important as a data resource to leverage these cutting-edge technologies. In this paper, we will present the smart laboratory and laboratory automation approaches we have implemented at Daiichi Sankyo Co., Ltd. for analysis, separation, and purification operations in medicinal chemistry research from three perspectives. (1) the systematization and simplification of analytical procedures to improve the optical resolution workflow in chemical synthesis、 (2) the realization of remote analysis and monitoring to improve the diversity of work styles by leveraging IoT devices and networks, and (3) the full automation of routine analysis, measurement, and visualization in EPSA evaluation using programmed processing. Through these measures, we will discuss the improvement of research productivity through smart laboratories and laboratory automation.