Fujitsu and TMDU leverage world’s fastest supercomputer and AI technology for scientific discovery to shed light on drug resistance in cancer treatment

Fujitsu and the Tokyo Medical and Dental University (TMDU) today announced a new technology that uses AI to discover new causal mechanisms of drug resistance in cancer treatments from clinical data. Leveraging the world’s fastest supercomputer Fugaku, the new technology enables high-speed calculation of 20,000 variables of data within a single day and allows for the discovery of previously unknown causal relationships relating to drug resistance in cancer cells from 1,000 trillion different possibilities.

See also  Toshiba Develops Lightweight and Compact High-Power Superconducting Motor Prototype for Mobility Applications

Fujitsu and TMDU applied this technology to gene expression level data obtained from cancer cell lines in order to analyze drug resistance against anticancer drugs, and succeeded in extracting a new causal mechanism of a previously unknown gene that suggests a cause of resistance to lung cancer drugs. The new technology is expected to contribute to the acceleration of drug discovery and the realization of cancer therapies individualized for each patient.

See also  Sony Launches Compact and Lightweight FX3 Full-Frame Camera with Cinematic Look

The technology was developed under the theme of “elucidation of the cause and diversity of cancer using large-scale data analysis and AI technology,” an initiative supported by TMDU, Kyoto University and Fujitsu as part of the supercomputer Fugaku achievement acceleration program.