{"id":394068,"date":"2020-12-07T07:03:20","date_gmt":"2020-12-07T12:03:20","guid":{"rendered":"http:\/\/www.marketnewsdesk.com\/?p=394068"},"modified":"2020-12-07T07:03:20","modified_gmt":"2020-12-07T12:03:20","slug":"paige-announces-new-data-on-breast-cancer-detection-system-to-be-presented-at-san-antonio-breast-cancer-symposium","status":"publish","type":"post","link":"https:\/\/www.marketnewsdesk.com\/index.php\/paige-announces-new-data-on-breast-cancer-detection-system-to-be-presented-at-san-antonio-breast-cancer-symposium\/","title":{"rendered":"Paige Announces New Data on Breast Cancer Detection System To Be Presented at San Antonio Breast Cancer Symposium"},"content":{"rendered":"<p>        <!--.bwalignc { text-align: center; list-style-position:inside; }\n.bwlistdisc { list-style-type: disc; }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>Paige Announces New Data on Breast Cancer Detection System To Be Presented at San Antonio Breast Cancer Symposium<\/b><\/p>\n<ul class=\"bwlistdisc\">\n<li><i>Data from study conducted at Memorial Sloan Kettering Cancer Center illustrates potential applications of machine learning in breast cancer detection <\/i><\/li>\n<li><i>Results to be presented during spotlight poster discussion on December 10<\/i><\/li>\n<\/ul>\n<p>NEW YORK&#8211;(<a href=\"http:\/\/www.businesswire.com\">BUSINESS WIRE<\/a>)&#8211;<a rel=\"nofollow\" href=\"https:\/\/cts.businesswire.com\/ct\/CT?id=smartlink&amp;url=http%3A%2F%2Fwww.paige.ai&amp;esheet=52343581&amp;newsitemid=20201207005282&amp;lan=en-US&amp;anchor=Paige&amp;index=1&amp;md5=2beccba06010bed4de8b108e84d3fd53\">Paige<\/a>, a global leader in AI-based digital diagnostics, will present new data evaluating Paige Breast Alpha, a machine learning system designed to detect breast cancer in digital images of breast tissue, at the upcoming 2020 San Antonio Breast Cancer Symposium (SABCS 2020), taking place virtually December 8-11, 2020.\n<\/p>\n<p>\nFor pathologists reviewing breast tissue slides under the microscope, the large volume of slides can pose significant challenges for workload management and pathologist productivity. The poster, \u201c<b>Clinical-grade detection of breast cancer in biopsies and excisions using machine learning<\/b>,\u201d will be featured during a spotlight poster discussion, which highlights some of the most noteworthy and groundbreaking research submitted to the conference.\n<\/p>\n<p>\nThe poster abstract is available <a rel=\"nofollow\" href=\"https:\/\/cts.businesswire.com\/ct\/CT?id=smartlink&amp;url=https%3A%2F%2Fwww.sabcs.org%2FPortals%2FSABCS2016%2F2020%2520SABCS%2FFinal%2520PDF%2520Docs%2520111620_All%2520PDF%2520File%2520No%2520Embargoed%2520Abstracts.pdf%3Fver%3D2020-11-17-095626-250%23page%3D110&amp;esheet=52343581&amp;newsitemid=20201207005282&amp;lan=en-US&amp;anchor=online&amp;index=2&amp;md5=a8f55b29d420774fbb4a80a728f28d8a\">online<\/a> and viewing details are below:\n<\/p>\n<ul class=\"bwlistdisc\">\n<li><b>Clinical-grade detection of breast cancer in biopsies and excisions using machine learning<br \/>\n<br \/><\/b>Authors: Hanna MG, et al.<br \/>\n<br \/>Session: Spotlight Poster Discussion 6 | Thursday, December 10, 2020 | 3:30pm \u2013 4:45pm CST<br \/>\n<br \/>Poster #: PD6-03\n<\/li>\n<\/ul>\n<p><b>About Paige<\/b><\/p>\n<p>\nPaige was founded in 2017 by Thomas Fuchs, Dr.Sc. and colleagues from Memorial Sloan Kettering Cancer Center (MSK). The company builds computational pathology products designed so patients and their care teams can make effective, more informed treatment decisions. With this new class of AI-based technologies positioned to drive the future of diagnostics, Paige created a platform to deliver this novel technology to pathologists to transform their workflow and increase diagnostidc confidence and productivity. Paige\u2019s products deliver insights to pathologists and oncologists so they can arrive efficiently at more precise diagnoses for patients. Paige is the first company to receive FDA breakthrough designation for computational pathology products.\n<\/p>\n<p>\nFor additional information, please visit: <a rel=\"nofollow\" href=\"https:\/\/cts.businesswire.com\/ct\/CT?id=smartlink&amp;url=https%3A%2F%2Fwww.Paige.ai&amp;esheet=52343581&amp;newsitemid=20201207005282&amp;lan=en-US&amp;anchor=https%3A%2F%2Fwww.Paige.ai&amp;index=3&amp;md5=707021124e0acca2d70bd0e027c596c8\">https:\/\/www.Paige.ai<\/a>, <a rel=\"nofollow\" href=\"https:\/\/cts.businesswire.com\/ct\/CT?id=smartlink&amp;url=https%3A%2F%2Fwww.paigeplatform.com&amp;esheet=52343581&amp;newsitemid=20201207005282&amp;lan=en-US&amp;anchor=https%3A%2F%2Fwww.paigeplatform.com&amp;index=4&amp;md5=1f2b1956d2d4a4ffbd8ebe5a5a0156da\">https:\/\/www.paigeplatform.com<\/a> , <a rel=\"nofollow\" href=\"https:\/\/cts.businesswire.com\/ct\/CT?id=smartlink&amp;url=https%3A%2F%2Ftwitter.com%2Fpaige_ai&amp;esheet=52343581&amp;newsitemid=20201207005282&amp;lan=en-US&amp;anchor=Twitter&amp;index=5&amp;md5=5ab7ef77a495efcc2e72ee48d549737b\">Twitter<\/a> and <a rel=\"nofollow\" href=\"https:\/\/cts.businesswire.com\/ct\/CT?id=smartlink&amp;url=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fpaige-ai%2F&amp;esheet=52343581&amp;newsitemid=20201207005282&amp;lan=en-US&amp;anchor=LinkedIn&amp;index=6&amp;md5=42920df642694a5434c8a75b24504439\">LinkedIn<\/a>.\n<\/p>\n<p><i>Dr. Matthew Hanna has a compensated consulting relationship with Paige. MSK has intellectual property rights and associated financial interests related to Paige by virtue of licensing agreements between MSK and Paige.<\/i><\/p>\n<p><img decoding=\"async\" alt=\"\" src=\"https:\/\/cts.businesswire.com\/ct\/CT?id=bwnews&amp;sty=20201207005282r1&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\/20201207005282\/en\/\" rel=\"nofollow\">https:\/\/www.businesswire.com\/news\/home\/20201207005282\/en\/<\/a><\/span><\/p>\n<p>\nJon Yu<br \/>\n<br \/>Westwicke\/ICR Healthcare PR<br \/>\n<br \/>Tel: <strong>475.395.5375<br \/>\n<\/strong><br \/><a rel=\"nofollow\" href=\"mailto:Jon.Yu@westwicke.com\">Jon.Yu@westwicke.com<\/a><\/p>\n<p><b>KEYWORDS:<\/b> United States North America New York<\/p>\n<p><b>INDUSTRY KEYWORDS:<\/b> Biotechnology Medical Devices Health Clinical Trials Oncology<\/p>\n<p><b>MEDIA:<\/b><\/p>\n<table cellpadding=\"3\" cellspacing=\"3\">\n<tr>\n<td><font face=\"Arial\" size=\"2\"><b>Logo<\/b><\/font><\/td>\n<\/tr>\n<tr>\n<td><img decoding=\"async\" src=\"https:\/\/mms.businesswire.com\/media\/20201207005282\/en\/844599\/3\/Paige_Logo.jpg\" alt=\"Logo\" \/><\/td>\n<\/tr>\n<tr>\n<td><font face=\"Arial\" size=\"2\"><\/font><\/td>\n<\/tr>\n<\/table>\n","protected":false},"excerpt":{"rendered":"<p>Paige Announces New Data on Breast Cancer Detection System To Be Presented at San Antonio Breast Cancer Symposium Data from study conducted at Memorial Sloan Kettering Cancer Center illustrates potential applications of machine learning in breast cancer detection Results to be presented during spotlight poster discussion on December 10 NEW YORK&#8211;(BUSINESS WIRE)&#8211;Paige, a global leader in AI-based digital diagnostics, will present new data evaluating Paige Breast Alpha, a machine learning system designed to detect breast cancer in digital images of breast tissue, at the upcoming 2020 San Antonio Breast Cancer Symposium (SABCS 2020), taking place virtually December 8-11, 2020. For pathologists reviewing breast tissue slides under the microscope, the large volume of slides can pose significant challenges for workload management &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/www.marketnewsdesk.com\/index.php\/paige-announces-new-data-on-breast-cancer-detection-system-to-be-presented-at-san-antonio-breast-cancer-symposium\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Paige Announces New Data on Breast Cancer Detection System To Be Presented at San Antonio Breast Cancer Symposium&#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-394068","post","type-post","status-publish","format-standard","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Paige Announces New Data on Breast Cancer Detection System To Be Presented at San Antonio Breast Cancer Symposium - 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\/paige-announces-new-data-on-breast-cancer-detection-system-to-be-presented-at-san-antonio-breast-cancer-symposium\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Paige Announces New Data on Breast Cancer Detection System To Be Presented at San Antonio Breast Cancer Symposium - Market Newsdesk\" \/>\n<meta property=\"og:description\" content=\"Paige Announces New Data on Breast Cancer Detection System To Be Presented at San Antonio Breast Cancer Symposium Data from study conducted at Memorial Sloan Kettering Cancer Center illustrates potential applications of machine learning in breast cancer detection Results to be presented during spotlight poster discussion on December 10 NEW YORK&#8211;(BUSINESS WIRE)&#8211;Paige, a global leader in AI-based digital diagnostics, will present new data evaluating Paige Breast Alpha, a machine learning system designed to detect breast cancer in digital images of breast tissue, at the upcoming 2020 San Antonio Breast Cancer Symposium (SABCS 2020), taking place virtually December 8-11, 2020. 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