Fujitsu Develops Technology to Discover Characteristic Causal Relationships of Individual Data in Medicine, Marketing, and More

摘要

Fujitsu Laboratories, Ltd. has successfully developed a technology that uses Al to discover the characteristic cause-and-effect relationships in various pieces of data relating to people and things in a variety of fields, with possible applications in medicine, marketing, manufacturing, and more. The technology specifically addresses the need to isolate and identify characteristics from data in different real-world scenarios. In the medical field, for example, it is necessary to identify the characteristic genes that affect the development of cancer in individual patients. In the field of marketing, sales representatives need to find the characteristic factors that lead individual customers to make a purchase. Fujitsu has developed a technology to discover the characteristic causality of individual pieces of data by quickly extracting all the groups of data that have a common correlation from an entire dataset, and evaluating the causality of each group of data to find the characteristic causality. In a recent trial demonstration, Fujitsu applied the technology to the gene expression data of colorectal cancer patients, estimating the characteristic causal relationship that appears in the data of each patient. Fujitsu's researchers succeeded in rediscovering the gene of interest in the colorectal cancer classification, offering a key to the development of a treatment plan individualized for each patient.