{"id":2217,"date":"2022-07-25T16:44:46","date_gmt":"2022-07-25T16:44:46","guid":{"rendered":"https:\/\/salarydistribution.com\/machine-learning\/2022\/07\/25\/shifting-into-high-gear-lunit-maker-of-fda-cleared-ai-for-cancer-analysis-goes-public-in-seoul\/"},"modified":"2022-07-25T16:44:46","modified_gmt":"2022-07-25T16:44:46","slug":"shifting-into-high-gear-lunit-maker-of-fda-cleared-ai-for-cancer-analysis-goes-public-in-seoul","status":"publish","type":"post","link":"https:\/\/salarydistribution.com\/machine-learning\/2022\/07\/25\/shifting-into-high-gear-lunit-maker-of-fda-cleared-ai-for-cancer-analysis-goes-public-in-seoul\/","title":{"rendered":"Shifting Into High Gear: Lunit, Maker of FDA-Cleared AI for Cancer Analysis, Goes Public in Seoul"},"content":{"rendered":"<div data-url=\"https:\/\/blogs.nvidia.com\/blog\/2022\/07\/21\/lunit-healthcare-ai-ipo\/\" data-title=\"Shifting Into High Gear: Lunit, Maker of FDA-Cleared AI for Cancer Analysis, Goes Public in Seoul\" data-hashtags=\"\">\n<p>South Korean startup Lunit, developer of two FDA-cleared AI models for healthcare, <a href=\"https:\/\/www.lunit.io\/en\/news\/ai-based-cancer-solution-pioneer-lunit-makes-market-debut\" target=\"_blank\" rel=\"noopener\">went public this week<\/a> on the country\u2019s Kosdaq stock market.<\/p>\n<p>The move marks the maturity of the Seoul-based company \u2014 which was founded in 2013 and has for years been part of the <a href=\"https:\/\/www.nvidia.com\/en-us\/startups\/\">NVIDIA Inception<\/a> program that nurtures cutting-edge startups.<\/p>\n<p>Lunit\u2019s AI software for chest X-rays and mammograms are used in 600 healthcare sites across 40 countries. In its home market alone, around 4 million chest X-rays a year are analyzed by Lunit AI models.<\/p>\n<p>Lunit has partnered with GE Healthcare, Fujifilm, Philips and Guardant Health to deploy its AI products. Last year, it achieved FDA clearance for two AI tools: one that analyzes mammograms for signs of breast cancer, and another that triages critical findings in chest X-rays. It\u2019s also received the CE mark in Europe for these, as well as a third model that analyzes tumors in cancer tissue samples.<\/p>\n<p>\u201cBy going public, which is just one step in our long journey, I strongly believe that we will succeed and accomplish our mission to conquer cancer through AI,\u201d said Brandon Suh, CEO of Lunit.<\/p>\n<p>Lunit raised $60 million in venture capital funding late last year, and its current market cap is some $320 million, based on its latest closing price. Following its recent regulatory approvals, the startup is expanding its presence in the U.S. and the European Union. It\u2019s also developing additional AI models for 3D mammography.<\/p>\n<figure id=\"attachment_58425\" aria-describedby=\"caption-attachment-58425\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2022\/07\/i%CC%80%C2%82%C2%ACi%CC%80%C2%A7%C2%842-scaled.jpg\"><\/p>\n<p><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2022\/07\/i%CC%80%C2%82%C2%ACi%CC%80%C2%A7%C2%842-672x370.jpg\" alt=\"\" width=\"672\" height=\"370\"><\/p>\n<p><\/a><figcaption id=\"caption-attachment-58425\" class=\"wp-caption-text\">Brandon Suh, CEO of Lunit, beats a drum in celebration of the company\u2019s IPO at the Korean Exchange.<\/figcaption><\/figure>\n<h2><b>Forging Partnerships to Deploy AI for Radiology, Oncology<\/b><\/h2>\n<p>Lunit has four AI products to help radiologists and pathologists detect cancer and deliver care:<\/p>\n<ul>\n<li><a href=\"https:\/\/www.lunit.io\/en\/products\/insight-cxr\" target=\"_blank\" rel=\"noopener\">Lunit INSIGHT CXR<\/a>: Trained on a dataset of 3.5 million cases, this tool detects 10 of the most common findings in chest X-rays with 97-99% accuracy.<\/li>\n<li><a href=\"https:\/\/www.lunit.io\/en\/products\/insight-mmg\" target=\"_blank\" rel=\"noopener\">Lunit INSIGHT MMG<\/a>: This product reduces the chance that physicians overlook breast cancer in the screening mammography by 50%.<\/li>\n<li><a href=\"https:\/\/www.lunit.io\/en\/products\/scope-io\" target=\"_blank\" rel=\"noopener\">Lunit SCOPE IO<\/a>: Demonstrating 94% accuracy, this AI helps identify 50% more patients eligible for immunotherapy by analyzing tissue slide images of more than 15 types of cancer, including lung, breast and colorectal cancer.<\/li>\n<li><a href=\"https:\/\/www.lunit.io\/en\/products\/scope-pdl1\" target=\"_blank\" rel=\"noopener\">Lunit SCOPE PD-L1<\/a>: Trained on more than 1 million annotated cell images, the tool helps accurately quantify expression levels of PD-L1, a protein that influences immune response.<\/li>\n<\/ul>\n<p><a href=\"https:\/\/www.lunit.io\/en\/news\/lunit-expands-collaboration-with-ge-healthcare-to-advance-ai-adoption-across-healthcare-industry\" target=\"_blank\" rel=\"noopener\">GE Healthcare<\/a> made eight AI algorithms from INSIGHT CXR available through its Thoracic Care Suite to flag abnormalities in lung X-rays, including pneumonia, tuberculosis and lung nodules.<\/p>\n<p><a href=\"https:\/\/www.lunit.io\/en\/news\/fujifilm-introduces-its-ai-powered-product-for-chest-x-ray-in-japan-in-collaboration-with-lunit\" target=\"_blank\" rel=\"noopener\">Fujifilm<\/a> incorporated INSIGHT CXR into its AI-powered product to analyze chest X-rays. Lunit AI connects to Fujufilm\u2019s X-ray devices and PACS imaging system, and is already used in more than 130 sites across Japan to detect chest nodules, collapsed lung, and fluid or other foreign substances in the lungs.<\/p>\n<p><a href=\"https:\/\/www.lunit.io\/en\/news\/lunit-announces-partnership-to-incorporate-its-chest-detection-suite-into-philips-diagnostic-x-ray-suite\" target=\"_blank\" rel=\"noopener\">Philips<\/a>, too, is adopting INSIGHT CXR, making the software accessible to users of its diagnostic X-ray solutions.\u00a0And <a href=\"https:\/\/www.lunit.io\/en\/news\/lunit-secures-26m-investment-from-guardant-health-in-a-strategic-funding-round-\" target=\"_blank\" rel=\"noopener\">Guardant Health<\/a>, a liquid biopsy company, made a $26 million strategic investment in Lunit to support the company\u2019s innovation in precision oncology through the Lunit SCOPE tissue analysis products.<\/p>\n<h2><b>Accelerating Insights With NVIDIA AI<\/b><\/h2>\n<p>Lunit develops its AI models using various <a href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/tensor-cores\/\">NVIDIA Tensor Core GPUs<\/a>, including <a href=\"https:\/\/www.nvidia.com\/content\/dam\/en-zz\/Solutions\/Data-Center\/a100\/pdf\/a100-80gb-datasheet-update-nvidia-us-1521051-r2-web.pdf\">NVIDIA A100 GPUs<\/a>, in the cloud. Its customers can deploy Lunit\u2019s AI with an NVIDIA GPU-powered server <a href=\"https:\/\/blogs.nvidia.com\/blog\/2019\/09\/10\/whats-difference-between-ai-on-premises-in-the-cloud\/\">on premises or in the cloud<\/a> \u2014 or within a medical imaging device using the <a href=\"https:\/\/www.nvidia.com\/en-us\/autonomous-machines\/embedded-systems\/\">NVIDIA Jetson<\/a> edge AI platform.<\/p>\n<p>The company also uses <a href=\"https:\/\/developer.nvidia.com\/tensorrt\">NVIDIA TensorRT<\/a> software to optimize its trained AI models for real-world deployment.<\/p>\n<p>\u201cThe goal here is to optimize our AI in actual user settings \u2014 for the specific NVIDIA GPUs that operate the AI,\u201d said Donggeun Yoo, chief of research at Lunit.<\/p>\n<p>Over the years, Lunit has presented its work at NVIDIA GTC and as an NVIDIA Inception member at the prestigious RSNA conference for radiology.<\/p>\n<p>\u201cIt was very helpful for us to build credibility as a startup,\u201d said Yoo. \u201cI believe joining Inception helped trigger the bigger acknowledgements that followed from the healthcare industry.\u201d<\/p>\n<p>Join the <a href=\"https:\/\/www.nvidia.com\/en-us\/deep-learning-ai\/startups\/\">NVIDIA Inception<\/a> community of over 10,000 technology startups, and <a href=\"https:\/\/register.nvidia.com\/flow\/nvidia\/gtcfall2022\/attendeeportal\/page\/sessioncatalog\">register<\/a> for <a href=\"https:\/\/www.nvidia.com\/gtc\/\">NVIDIA GTC<\/a>, running online Sept. 19-22, to attend the session \u201c<a href=\"https:\/\/www.nvidia.com\/gtc\/session-catalog\/?search=Renee%20Yao&amp;tab.catalogallsessionstab=16566177511100015Kus#\/session\/1655914055988001ODm3\">Accelerate Patient-Centric Innovation with Makers and Breakers in Healthcare Life Science<\/a>.\u201d<\/p>\n<p><i>Subscribe to <\/i><a href=\"https:\/\/www.nvidia.com\/en-us\/industries\/healthcare-life-sciences\/healthcare-news-sign-up\/\"><i>NVIDIA healthcare news<\/i><\/a><i>.<\/i><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>https:\/\/blogs.nvidia.com\/blog\/2022\/07\/21\/lunit-healthcare-ai-ipo\/<\/p>\n","protected":false},"author":0,"featured_media":2218,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[3],"tags":[],"_links":{"self":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts\/2217"}],"collection":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/comments?post=2217"}],"version-history":[{"count":0,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts\/2217\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media\/2218"}],"wp:attachment":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media?parent=2217"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/categories?post=2217"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/tags?post=2217"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}