The rapid development of big data and groundbreaking AI technology in recent years has brought about major changes in the medical field. Pharmaceutical companies are also promoting digital transformation by using big data to improve productivity, including more accurate drug discovery in a shorter period of time. Astellas has launched Advanced Informatics and Analytics function as a part of its digital transformation. We aim to further accelerate this effort as valuable innovation is increasingly being driven by data and analytics. In drug discovery research, we are promoting data-driven drug discovery that uses AI and analytics.
In this presentation, we will introduce an example of analysis of literature information. We believe that text mining will enable us to find new insights and hypotheses for drug discovery from a large amount of articles and intellectual property information. However, there are still many issues to be addressed in order to fully utilize the information in drug discovery research, and there are also many technologies to be incorporated. We will introduce our efforts with examples such as the analysis of disease mechanisms.