Article about the DAIIA Project utilizing federated learning, in which Elix contributes, was Published on Nikkei XTech
An article about the AI drug discovery project utilizing federated learning was published on Nikkei XTech on April 24, 2024.
This project is part of the “Development of a Next-Generation Drug Discovery AI through Industry-Academia Collaboration (DAIIA)” initiative by the Japan Agency for Medical Research and Development (AMED). It involves collaboration among research institutions like RIKEN, Kyoto University, and Nagoya University, as well as 17 pharmaceutical companies, with Elix also contributing.
“AI for Drug Discovery that Learned Confidential Information from 17 Competing Companies, with Participation from Eisai and Ono Pharmaceutical”
https://xtech.nikkei.com/atcl/nxt/column/18/02802/041100002/
(Paid membership exclusive article)