KAIST has been chosen as a key collaborating establishment within the Lunit consortium for the “Nationwide AI Mannequin” challenge.
KAIST introduced on Nov. 14 that it will take part within the “AI-Specialised Basis Mannequin Improvement Venture” by the Lunit consortium overseen by the Ministry of Science and ICT, formally starting the event of AI basis fashions specialised in medical science and bio sectors. By this challenge, KAIST will develop a medical science-specialized AI basis mannequin that encompasses your entire lifecycle of bio and medical information, main the creation of an AI-based life science innovation ecosystem.
The Lunit consortium contains seven corporations centered round Lunit—TrillionLabs, Kakao Healthcare, Aigen Sciences, SK Biopharm, and Rebellions—together with 9 medical establishments and analysis organizations together with KAIST, Seoul Nationwide College, NYU, Nationwide Well being Insurance coverage Service Ilsan Hospital, and Yongin Severance Hospital. The consortium will obtain assist of 256 newest B200 GPUs to construct and reveal a sequence of evidence-based full-cycle medical science AI mannequin—an AI system that connects and analyzes medical information from begin to end—and a multi-agent service—a system the place a number of AIs collaborate to carry out analysis and prediction.
On this challenge, KAIST will take part with a joint analysis crew fashioned by college from the Faculty of Computing and Kim Jaechul Graduate Faculty of AI, with Profs. Choi Yun-jae, Kim Tae-gyun, Ye Jong-cheol, Kim Hyun-woo, and Hong Seung-hoon serving because the analysis crew. Analysis Vice President Lee Sang-yeop will serve in an advisory position.
The analysis crew will set up a technique (L1-L7 levels) that goes past merely amassing information to exactly course of and systematically handle medical and life science information in order that AI can truly be taught and put it to use. By this, they plan to develop an AI mannequin that connects and analyzes numerous life science information together with medical info, gene and protein information, and drug candidate substances.
Vice President Lee stated, “AI expertise is breaking down the boundaries between life sciences and engineering, creating a brand new paradigm for information creation,” including, “KAIST will speed up the period when AI reveals the causes of ailments and predicts therapies by using full-cycle medical science information.”
