An artificial intelligence system that can accurately diagnose a patient and suggest the best treatment is being developed by Kyoto University and Fujitsu. The new system will analyze the genetic codes of patients to make its assessments. To run different simulations on relationships between diseases and a number of genes with integrated various data, it will be fed databases of worldwide medical records as well as gene information. By doing this, the AI system is expected to reveal the relationship between a certain disease and a genetic code.
The Japanese team hopes that it will emulate IBM’s Watson supercomputer, which is famed for AI use in medicine using a big data system, and is named after Thomas J. Watson, the founder of IBM, rather than Sherlock Holmes’ sidekick. The team also hopes the system will be capable of estimating how gene mutations that have yet to be identified are associated with diseases. The study will be conducted as part of a project being run by the Japan Agency for Medical Research and Development, an organization that is accumulating genetic codes associated with diseases on a massive scale. The team aims to put it into practical use by the end of fiscal 2020.
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