{"id":791991,"date":"2024-12-03T09:38:13","date_gmt":"2024-12-03T14:38:13","guid":{"rendered":"https:\/\/www.marketnewsdesk.com\/index.php\/lg-ai-research-develops-ai-model-on-aws-for-rapid-cancer-diagnosis\/"},"modified":"2024-12-03T09:38:13","modified_gmt":"2024-12-03T14:38:13","slug":"lg-ai-research-develops-ai-model-on-aws-for-rapid-cancer-diagnosis","status":"publish","type":"post","link":"https:\/\/www.marketnewsdesk.com\/index.php\/lg-ai-research-develops-ai-model-on-aws-for-rapid-cancer-diagnosis\/","title":{"rendered":"LG AI Research Develops AI Model on AWS for Rapid Cancer Diagnosis"},"content":{"rendered":"<p>        <!--.bwalignc { text-align: center; list-style-position: inside }body {font:normal small Arial,Helvetica,sans-serif;color:#000;background-color:#fff;padding:24px;margin:0;} a img {border:0;} h3 {font-size:medium;color:#000;margin:0 0 1em 0; text-align:center;}-->  <\/p>\n<p class=\"bwalignc\"><b>LG AI Research Develops AI Model on AWS for Rapid Cancer Diagnosis<\/b><\/p>\n<p class=\"bwalignc\"><i>LG Group\u2019s AI think tank uses AWS to identify cancer risks earlier<\/i><\/p>\n<p class=\"bwalignc\"><i>Amazon SageMaker helps LG AI Research reduce genetic testing time from two weeks to less than one minute to accelerate patient diagnosis<\/i><\/p>\n<p>LAS VEGAS&#8211;(<a href=\"http:\/\/www.businesswire.com\">BUSINESS WIRE<\/a>)&#8211;<br \/>\nAt 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\u2019s 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.<\/p>\n<p>\nEXAONEPath achieves an average accuracy of 86.1% across <a rel=\"nofollow\" href=\"https:\/\/cts.businesswire.com\/ct\/CT?id=smartlink&amp;url=https%3A%2F%2Fwww.lgresearch.ai%2Fblog%2Fview%3Fseq%3D470&amp;esheet=54160703&amp;newsitemid=20241203624472&amp;lan=en-US&amp;anchor=six+benchmarks&amp;index=1&amp;md5=ca9b41ac46557cf27e4f237c75cd0630\">six benchmarks<\/a> 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\u2019s 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%.<\/p>\n<p>\n\u201cAWS allows us to accelerate our AI research, bringing accessible and rapid cancer screening closer to reality,\u201d said Hwayoung (Edward) Lee, vice president of LG AI Research. \u201cBy leveraging AWS, we can train our pathology model on a vast dataset faster\u2014securely, and cost-effectively. This enhances EXAONEPath\u2019s processing capabilities for delivering personalized, efficient cancer treatments to improve patient outcomes. EXAONEPath has the potential to transform cancer diagnosis and treatment globally.\u201d<\/p>\n<p>\nLeveraging <a rel=\"nofollow\" href=\"https:\/\/cts.businesswire.com\/ct\/CT?id=smartlink&amp;url=https%3A%2F%2Faws.amazon.com%2Fsagemaker%2F&amp;esheet=54160703&amp;newsitemid=20241203624472&amp;lan=en-US&amp;anchor=Amazon+SageMaker&amp;index=2&amp;md5=07a3bc330765cb6b1a8ba7b51b8076f5\">Amazon SageMaker<\/a>, 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.<\/p>\n<p>\nLG AI Research uses <a rel=\"nofollow\" href=\"https:\/\/cts.businesswire.com\/ct\/CT?id=smartlink&amp;url=https%3A%2F%2Faws.amazon.com%2Fs3%2F&amp;esheet=54160703&amp;newsitemid=20241203624472&amp;lan=en-US&amp;anchor=Amazon+S3&amp;index=3&amp;md5=19a758e91efe540778e3604dd0057e25\">Amazon S3<\/a> to store and retrieve massive volumes of data that are crucial for research. <a rel=\"nofollow\" href=\"https:\/\/cts.businesswire.com\/ct\/CT?id=smartlink&amp;url=https%3A%2F%2Faws.amazon.com%2Ffsx%2Flustre%2F&amp;esheet=54160703&amp;newsitemid=20241203624472&amp;lan=en-US&amp;anchor=Amazon+FSx+for+Lustre&amp;index=4&amp;md5=65564aa7f99adf7fb491988eec2fa981\">Amazon FSx for Lustre<\/a> 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.<\/p>\n<p>\n\u201cThe healthcare industry is making rapid progress in its use of AI on AWS to accelerate diagnoses and get patients into treatment faster,\u201d said Dan Sheeran, general manager, Healthcare and Life Sciences at AWS. \u201cUsing 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.\u201d<\/p>\n<p>\nEXAONEPath is part of LG AI Research\u2019s EXAONE, a 300-billion-parameter multimodal foundation model by LG AI Research, which was also <a rel=\"nofollow\" href=\"https:\/\/cts.businesswire.com\/ct\/CT?id=smartlink&amp;url=https%3A%2F%2Faws.amazon.com%2Fsolutions%2Fcase-studies%2Flg-ai-research-case-study%2F&amp;esheet=54160703&amp;newsitemid=20241203624472&amp;lan=en-US&amp;anchor=built+on+Amazon+SageMaker+and+Amazon+FSx+for+Lustre&amp;index=5&amp;md5=ea93dd7c693c57de975260be4bdbd80f\">built on Amazon SageMaker and Amazon FSx for Lustre<\/a>. LG AI Research will continue to update and improve EXAONEPath by training it to detect more types of cancer using additional pathology images.<\/p>\n<p><b>About Amazon Web Services<\/b><\/p>\n<p>\nSince 2006, Amazon Web Services has been the world\u2019s 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\u2014including the fastest-growing startups, largest enterprises, and leading government agencies\u2014trust AWS to power their infrastructure, become more agile, and lower costs. To learn more about AWS, visit <a rel=\"nofollow\" href=\"https:\/\/cts.businesswire.com\/ct\/CT?id=smartlink&amp;url=http%3A%2F%2Furl9490.notification.gcs-web.com%2Fls%2Fclick%3Fupn%3D9MMhW7V5y3oO-2BrZj6t6Pivz7-2FPnNWpHcYbIhyb-2FrDWy0pXYoufpy8rtMnCyaf6uq-2BQae0IqKEtpzOdPC3YdsjbHWhfVo6qwMk5Zk0-2BwhyDkKFjwfNQeieoOANBe0BcxFk8EFiPQOaO7fk9rI-2F1fEis0X70NZ4ccTuNxC5ybNR-2FITUxmM-2BrDeYCjWiUb1qGW3MaEPFbhlmL-2Bci0VwSZ-2B0W3SU08jq7KY7GJTrKXKeLE-2BVgNzSKGc09jlUX0Y9JFZ5nPIZ7bCfVYQFh-2Bi7sWFQ77dEZ10p1xlNtD720kEY87c-3DAE_d_UKWjiZi992-2Bp-2F6VMbQ1UjqHVIFGo2TwMuO1zywuaBo-2Bu8cQx6YMdhEiwYbPakwwYU5GXHnaw67JFR06s-2BxK2V2jpQWhxIVMxkUJJBtjLBLFx1VHiRah6jpYUTNrU-2F9p2CFIjKSJtLk4eWKB1BWLKig7bJCQrsOUWIPYCfsx9F32EyVmqpt-2B5fTMW95rnMQ7uEbyr-2FyPXOyVwVnVQHwT2rzrggW82-2BW0IjxLyPOk4U7-2FDWR-2FrxpEVGfO8jts5NP6em-2B4eJBBtbJd5EEJ2LM-2BSnA-3D-3D&amp;esheet=54160703&amp;newsitemid=20241203624472&amp;lan=en-US&amp;anchor=aws.amazon.com&amp;index=6&amp;md5=09eefb808bca4693122886e5930ce3df\">aws.amazon.com<\/a>.<\/p>\n<p><b>About Amazon<\/b><\/p>\n<p>\nAmazon 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\u2019s Most Customer-Centric Company, Earth\u2019s Best Employer, and Earth\u2019s Safest Place to Work. Customer reviews, 1-Click shopping, personalized recommendations, Prime, Fulfillment by Amazon, AWS, Kindle Direct Publishing, Kindle, Career Choice, Fire tablets, Fire TV, Amazon Echo, Alexa, Just Walk Out technology, Amazon Studios, and The Climate Pledge are some of the things pioneered by Amazon. For more information, visit <a rel=\"nofollow\" href=\"https:\/\/cts.businesswire.com\/ct\/CT?id=smartlink&amp;url=https%3A%2F%2Fwww.aboutamazon.com%2F&amp;esheet=54160703&amp;newsitemid=20241203624472&amp;lan=en-US&amp;anchor=amazon.com%2Fabout&amp;index=7&amp;md5=93eff46504d2dc2863ce2c6cde037efa\">amazon.com\/about<\/a> and follow @AmazonNews.<\/p>\n<p><b>About LG AI Research<\/b><\/p>\n<p>\nLaunched in December 2020 as the artificial intelligence (AI) research think tank of South Korea&#8217;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 \u201cExpert AI for Everyone,\u201d 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\u2019s 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 <a rel=\"nofollow\" href=\"https:\/\/cts.businesswire.com\/ct\/CT?id=smartlink&amp;url=https%3A%2F%2Fwww.lgresearch.ai%2F&amp;esheet=54160703&amp;newsitemid=20241203624472&amp;lan=en-US&amp;anchor=https%3A%2F%2Fwww.lgresearch.ai%2F&amp;index=8&amp;md5=1fe7a8998e6d82303de8183b691e9ae6\">https:\/\/www.lgresearch.ai\/<\/a>.<\/p>\n<p><img decoding=\"async\" alt=\"\" src=\"https:\/\/cts.businesswire.com\/ct\/CT?id=bwnews&amp;sty=20241203624472r1&amp;sid=flmnd&amp;distro=nx&amp;lang=en\" style=\"width:0;height:0\" \/><span class=\"bwct31415\" \/><\/p>\n<p id=\"mmgallerylink\"><span id=\"mmgallerylink-phrase\">View source version on businesswire.com: <\/span><span id=\"mmgallerylink-link\"><a href=\"https:\/\/www.businesswire.com\/news\/home\/20241203624472\/en\/\" rel=\"nofollow\">https:\/\/www.businesswire.com\/news\/home\/20241203624472\/en\/<\/a><\/span><\/p>\n<p>\nAmazon.com, Inc.<br \/>\n<br \/>Media Hotline<br \/>\n<br \/><a rel=\"nofollow\" href=\"mailto:Amazon-pr@amazon.com\">Amazon-pr@amazon.com<br \/>\n<\/a><br \/><a rel=\"nofollow\" href=\"https:\/\/cts.businesswire.com\/ct\/CT?id=smartlink&amp;url=http%3A%2F%2Fwww.amazon.com%2Fpr&amp;esheet=54160703&amp;newsitemid=20241203624472&amp;lan=en-US&amp;anchor=www.amazon.com%2Fpr&amp;index=9&amp;md5=e3793900da4de2d3626077090860315a\">www.amazon.com\/pr<\/a><\/p>\n<p><b>KEYWORDS:<\/b> United States North America Nevada Washington<\/p>\n<p><b>INDUSTRY KEYWORDS:<\/b> Data Management Technology Professional Services Health Oncology Health Technology Research Data Analytics Software Artificial Intelligence Science<\/p>\n<p><b>MEDIA:<\/b><\/p>\n<table cellpadding=\"3\" cellspacing=\"3\" \/>\n","protected":false},"excerpt":{"rendered":"<p>LG AI Research Develops AI Model on AWS for Rapid Cancer Diagnosis LG Group\u2019s 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 LAS VEGAS&#8211;(BUSINESS WIRE)&#8211; 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\u2019s 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 &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/www.marketnewsdesk.com\/index.php\/lg-ai-research-develops-ai-model-on-aws-for-rapid-cancer-diagnosis\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;LG AI Research Develops AI Model on AWS for Rapid Cancer Diagnosis&#8221;<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-791991","post","type-post","status-publish","format-standard","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>LG AI Research Develops AI Model on AWS for Rapid Cancer Diagnosis - Market Newsdesk<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.marketnewsdesk.com\/index.php\/lg-ai-research-develops-ai-model-on-aws-for-rapid-cancer-diagnosis\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"LG AI Research Develops AI Model on AWS for Rapid Cancer Diagnosis - Market Newsdesk\" \/>\n<meta property=\"og:description\" content=\"LG AI Research Develops AI Model on AWS for Rapid Cancer Diagnosis LG Group\u2019s 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 LAS VEGAS&#8211;(BUSINESS WIRE)&#8211; 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\u2019s leading cloud to develop its new pathology foundation model (FM) for earlier cancer diagnosis and treatment. 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