Skip to content
  • KOSPI 2745.05 +10.69 +0.39%
  • KOSDAQ 872.42 +1.16 +0.13%
  • KOSPI200 374.09 +1.29 +0.35%
  • USD/KRW 1364 +4 +0.29%
  • JPY100/KRW 878.1 -1.28 -0.15%
  • EUR/KRW 1466.16 +3.28 +0.22%
  • CNH/KRW 188.66 +0.41 +0.22%
View Market Snapshot
Artificial intelligence

LG, Jackson Lab to jointly develop AI models for Alzheimer’s, cancers

LG Group identifies AI, bio and clean technology as major future growth drivers

By Mar 11, 2024 (Gmt+09:00)

4 Min read

LG AI Research Chief Bae Kyung-hoon (third from left), Lon Cardon, CEO of JAX (third from right), Charles Lee, scientific director of JAX for genomic medicine (far right)
LG AI Research Chief Bae Kyung-hoon (third from left), Lon Cardon, CEO of JAX (third from right), Charles Lee, scientific director of JAX for genomic medicine (far right)


LG AI Research, the artificial intelligence research arm of South Korea’s LG Group, and the Jackson Laboratory (JAX), a US non-profit biomedical research institute, have agreed to jointly develop new AI models to detect, analyze and predict treatment for Alzheimer’s disease and various cancers.

The two parties on Monday signed a business cooperation agreement – a follow-up pact to their partnership signed in December, LG Group’s holding company LG Corp. and Jackson Lab said in a joint statement.

Under the agreement, LG AI Research and JAX will develop AI models that analyze the onset and progression of Alzheimer’s and predict treatment effectiveness, thus paving the way for new drugs and human aging research.

"As society ages, there is increasing discussion about the application of AI in the field of healthcare. AI’s potential is particularly notable in diseases closely associated with genetics,” the statement said.

Established in 1929, Connecticut-based Jackson Lab is an independent, non-profit biomedical research organization that has produced 20 Nobel Prize laureates for their genomic research to increase understanding of human diseases, as well as advancing treatments and cures for cancer, neurological and immune disorders, diabetes, aging and heart disease.

Lon Cardon, CEO of the Jackson Laboratory, discusses his expectations of the LG-Jackson collaboration (Courtesy of Jackson Lab)
Lon Cardon, CEO of the Jackson Laboratory, discusses his expectations of the LG-Jackson collaboration (Courtesy of Jackson Lab)

The Jackson Laboratory for Genetic Medine, led by Charles Lee, an expert in precision medicine, researches the diagnosis and treatment of diseases that depend on genetic variations, according to JAX.

LG’S MULTIMODAL AI EXAONE

Under their partnership, the two organizations plan to improve the efficiency of disease diagnosis and treatment by having LG’s multimodal AI EXAONE train on data from The Jackson Laboratory’s research on the genetic characteristics of Alzheimer’s disease.

The Jackson Laboratory can design and produce laboratory mice with the Alzheimer’s gene.

“The lab has a vast amount of research data on diseases such as Alzheimer's and cancer that can design and produce genetically modified mice, therefore is expected to have significant synergy when combined with LG’s AI technology,” JAX said.

LG AI Research's large-scale multimodal AI EXAONE will use the Jackson Laboratory's data to jointly develop new AI models for Alzheimer’s disease and cancer diagnosis and treatment
LG AI Research's large-scale multimodal AI EXAONE will use the Jackson Laboratory's data to jointly develop new AI models for Alzheimer’s disease and cancer diagnosis and treatment

Lon Cardon, Jackson Lab’s chief executive, said, “LG AI Research shares our vision to maximize the value of AI and the potential to transform human health. Together, we can leverage our unique strengths to realize a future where AI and genetics revolutionize healthcare.”

Lee, scientific director of and professor at the Jackson Laboratory for Genomic Medicine, said, “We are thrilled to collaborate with LG AI Research to unleash the immense potential of AI in creating a data science bridge between humans and mouse models, which will advance our ability to predict human diseases and help in the development of new drugs and treatments.”

AI MODELS FOR CANCER DIAGNOSIS, TREATMENT

The two organizations will also collaborate to bring about “groundbreaking” changes not only in Alzheimer's disease treatment but also in the diagnosis and treatment of various cancers.

They will develop multimodal generative AI models that rapidly diagnose cancer from pathology images without expensive and specialized tests and predict treatment effectiveness as well as interactive generative AI models that suggest personalized cancer treatment options to physicians based on an individual’s genomic information.

“Both companies expect that AI will drastically shorten the development time for new drugs in the cancer field, including vaccines and therapeutics, from discovery through preclinical and clinical trials, and improve success rates,” the statement said.

LG AI Research Chief Bae Kyung-hoon unveils Exaone 2.0, LG's latest hyper-scale AI engine, on July 19, 2023
LG AI Research Chief Bae Kyung-hoon unveils Exaone 2.0, LG's latest hyper-scale AI engine, on July 19, 2023

BIOTECH, LG’S FUTURE GROWTH ENGINE

Bae Kyung-hoon, chief of LG AI Research, said LG has been conducting R&D to apply AI to various industries, particularly in the biotech sector, which is one of the Korean conglomerate’s future growth engines.

Koo Kwang-mo, chairman of LG Group, Korea’s fourth-largest conglomerate, visited Boston and Toronto last August to stay abreast of trends in bio and AI technologies.

“Biotech and AI, although just small seeds for LG now, will grow into future growth drivers for our group if we meet challenges without wavering,” he said.

LG has identified AI, bio and clean technology among its major growth businesses.

In 2022, LG AI Research developed a neoantigen prediction AI model that uses patient genetic information and cancer cell mutations to induce cancer cell death.

Last July, the research institute unveiled “EXAONE Discovery,” a generative AI platform that develops new drugs, new materials and new substances.

Write to Chae-Yeon Kim at why29@hankyung.com


In-Soo Nam edited this article.
More to Read
Comment 0
0/300