LG Group’s AI think tank uses AWS to identify
cancer risks earlier
Amazon SageMaker helps LG AI Research reduce
genetic testing time from two weeks to less than one minute to
accelerate patient diagnosis
At AWS re:Invent, Amazon Web Services (AWS), an Amazon.com, Inc.
company (NASDAQ: AMZN), today announced that LG AI Research, the
artificial intelligence (AI) research hub of South Korean
conglomerate LG Group, has used the world’s leading cloud to
develop its new pathology foundation model (FM) for earlier cancer
diagnosis and treatment. The histopathology image-specific model,
EXAONEPath, can securely analyze microscopic images of tissue
samples from cancer patients to reduce genetic testing times from
two weeks to less than one minute, helping medical professionals
improve the speed and effectiveness of treatments.
EXAONEPath achieves an average accuracy of 86.1% across six
benchmarks in correctly classifying cellular-level visual features,
which is comparable to other leading pathology FMs trained on far
larger data sets. With AWS, LG AI Research transfers terabytes of
data to the cloud in less than an hour, shortening model training
time from 60 days to one week. This improves EXAONEPath’s
performance in diagnosing and detecting cancer, leading to improved
clinical outcomes for patients. By running on AWS, LG AI Research
can also reduce its data management and infrastructure costs by
approximately 35% and cut data preparation time by 95%.
“AWS allows us to accelerate our AI research, bringing
accessible and rapid cancer screening closer to reality,” said
Hwayoung (Edward) Lee, vice president of LG AI Research. “By
leveraging AWS, we can train our pathology model on a vast dataset
faster—securely, and cost-effectively. This enhances EXAONEPath’s
processing capabilities for delivering personalized, efficient
cancer treatments to improve patient outcomes. EXAONEPath has the
potential to transform cancer diagnosis and treatment
globally.”
Leveraging Amazon SageMaker, LG AI Research trained and deployed
its large-scale EXAONEPath model within eight months, using 285
million data points and more than 35,000 high-resolution tissue
sample images. Processing and training AI models with extremely
large datasets requires immense storage, high-speed data transfer,
and significant compute power. With AWS and NVIDIA GPUs, LG AI
Research is accelerating training and inference for its deep
learning workloads.
LG AI Research uses Amazon S3 to store and retrieve massive
volumes of data that are crucial for research. Amazon FSx for
Lustre provides sub-millisecond latencies and delivers hundreds of
gigabytes per second of throughput, essential for applications that
require rapid access to large datasets. This high-performance file
and storage system enables parallel data processing and analysis,
significantly reducing the time needed to gain insights.
“The healthcare industry is making rapid progress in its use of
AI on AWS to accelerate diagnoses and get patients into treatment
faster,” said Dan Sheeran, general manager, Healthcare and Life
Sciences at AWS. “Using AWS, LG AI Research can develop and use
EXAONEPath at an unprecedented scale, reducing data processing and
model training times and improving accuracy. This will allow
healthcare providers to improve cancer diagnoses and treatments,
reduce wait times, and personalize patient care.”
EXAONEPath is part of LG AI Research’s EXAONE, a
300-billion-parameter multimodal foundation model by LG AI
Research, which was also built on Amazon SageMaker and Amazon FSx
for Lustre. LG AI Research will continue to update and improve
EXAONEPath by training it to detect more types of cancer using
additional pathology images.
About Amazon Web Services
Since 2006, Amazon Web Services has been the world’s most
comprehensive and broadly adopted cloud. AWS has been continually
expanding its services to support virtually any workload, and it
now has more than 240 fully featured services for compute, storage,
databases, networking, analytics, machine learning and artificial
intelligence (AI), Internet of Things (IoT), mobile, security,
hybrid, media, and application development, deployment, and
management from 108 Availability Zones within 34 geographic
regions, with announced plans for 18 more Availability Zones and
six more AWS Regions in Mexico, New Zealand, the Kingdom of Saudi
Arabia, Taiwan, Thailand, and the AWS European Sovereign Cloud.
Millions of customers—including the fastest-growing startups,
largest enterprises, and leading government agencies—trust AWS to
power their infrastructure, become more agile, and lower costs. To
learn more about AWS, visit aws.amazon.com.
About Amazon
Amazon is guided by four principles: customer obsession rather
than competitor focus, passion for invention, commitment to
operational excellence, and long-term thinking. Amazon strives to
be Earth’s Most Customer-Centric Company, Earth’s Best Employer,
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pioneered by Amazon. For more information, visit amazon.com/about
and follow @AmazonNews.
About LG AI Research
Launched in December 2020 as the artificial intelligence (AI)
research think tank of South Korea's LG Group, LG AI Research aims
to lead the next epoch of artificial intelligence (AI) to realize a
promising future by providing optimal research environments and
leveraging state-of-the-art AI technologies. And LG AI Research
developed its large-scale AI, EXAONE, a 300 billion parametric
multimodal AI model, in 2021. EXAONE, which stands for “Expert AI
for Everyone,” is a multi-modal large-scale AI model that stands
out from its peers due to its ability to process both language and
visual data. With one of the world’s largest learning data
capacities, LG AI Research aims to engineer better business
decisions through its state-of-the-art artificial intelligence
technologies and its continuous effort on fundamental AI research.
For more information, visit https://www.lgresearch.ai/.
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