AI technology for precision medicine: current status and future perspectives

Abstract

In recent years, artificial intelligence (AI) has attracted attention as a scientific technology for discovering knowledge and creating new value from big data that continues to grow explosively in all fields. Needless to say, the artificial intelligence field itself is not an emerging field, but with the advent of Google's Deep Learning and IBM's Watson, various fields are hoping for various fields in recent years' performance and possibilities of artificial intelligence technology. As a medical application, in the spring of 2018, FDA has approved the AI diagnostic equipment for diabetic retinopathy. Meanwhile, as a medical application of the genome, the former US President of the United States announced the Precision Medicine initiative in January 2015, and the United States began to strongly promote personalized medicine (precision medicine) based on the genome. It is about to begin the opening of genomic medicine. In Japan, we are starting clinical genome information consolidated database development project in AMED from autumn of 2016, and aim to promote genomic medicine by constructing a collection system of high quality clinical genome information of Japanese. In collaboration with eleven disease area groups of Clinical Genome Information Integrated Database Development Project, we have established the unrestricted clinical genome information integrated database “Medical Genomics Japan Variant Database (MGeND)”. We are also developing artificial intelligence technology to support clinical interpretation of genome information. In this lecture, we will discuss the future and potential of AI in medical treatment in the future, taking examples of rapidly advancing genomic medicine in recent years.

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