{"id":241839,"date":"2026-05-08T14:18:00","date_gmt":"2026-05-08T18:18:00","guid":{"rendered":"https:\/\/news-you-need.com\/index.php\/2026\/05\/08\/ai-data-exchange-2026-nihs-susan-gregurick-on-overcoming-data-silos-with-ai-analytics\/"},"modified":"2026-05-08T14:25:07","modified_gmt":"2026-05-08T18:25:07","slug":"ai-data-exchange-2026-nihs-susan-gregurick-on-overcoming-data-silos-with-ai-analytics","status":"publish","type":"post","link":"https:\/\/news-you-need.com\/index.php\/2026\/05\/08\/ai-data-exchange-2026-nihs-susan-gregurick-on-overcoming-data-silos-with-ai-analytics\/","title":{"rendered":"AI &#038; Data Exchange 2026: NIH\u2019s Susan Gregurick on overcoming data silos with AI analytics"},"content":{"rendered":"<p><a href=\"https:\/\/federalnewsnetwork.com\/artificial-intelligence\/2026\/05\/ai-data-exchange-2026-nihs-susan-gregurick-on-overcoming-data-silos-with-ai-analytics\/\">AI &#038; Data Exchange 2026: NIH\u2019s Susan Gregurick on overcoming data silos with AI analytics<\/a><\/p>\n<p><a href=\"https:\/\/federalnewsnetwork.com\/artificial-intelligence\/2026\/05\/ai-data-exchange-2026-nihs-susan-gregurick-on-overcoming-data-silos-with-ai-analytics\/\">https:\/\/federalnewsnetwork.com\/artificial-intelligence\/2026\/05\/ai-data-exchange-2026-nihs-susan-gregurick-on-overcoming-data-silos-with-ai-analytics\/<\/a><\/p>\n<p>Publish Date: <a href=\"publish_date]\">2026-05-08 14:18:00<\/a><\/p>\n<p>Source Domain: <a href=\"federalnewsnetwork.com\">federalnewsnetwork.com<\/a><\/p>\n<p><iframe loading=\"lazy\" title=\"AI &amp; Data Exchange: NIH uses AI to break down data silos fast - Part 1\" width=\"640\" height=\"360\" src=\"https:\/\/www.youtube.com\/embed\/-JnpNd9JH5Q?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/p>\n<p>The National Institutes of Health is leaning into artificial intelligence to gather insights from a vast amount of health data \u2014 a shift that could allow the agency to conduct research more quickly and offer new tools to support clinicians.<\/p>\n<p>Susan Gregurick, associate director for data science at NIH, said during <strong>Federal News Network\u2019s AI &#038; Data Exchange 2026<\/strong> that advances in AI are beginning to unlock insights from data across disconnected systems.<\/p>\n<p>\u201cI think that there\u2019s just an unlimited amount of excitement here,\u201d Gregurick said. \u201cI\u2019ve seen some really exciting trends in developing AI technologies that can extract very difficult-to-find data from clinical records and notes that doctors take.\u201d<\/p>\n<h2>AI to speed public health responses<\/h2>\n<p>At the core of NIH\u2019s AI push is a push to break down data silos that have limited how quickly researchers can respond to emerging public health issues.<\/p>\n<p>NIH is using AI in partnership with the Energy Department and the National Cancer Institute to extract information from pathology reports. Through this project, NIH is helping researchers get a better understanding of the relationship between COVID infections and cancer progression.<\/p>\n<p>\u201cThe challenges we get really have to deal with getting real-time data about health,\u201d she said. \u201cIt was very hard to understand the relationship between people who might have had COVID and the effect it would have on cancer progression,\u201d Gregurick said.<\/p>\n<p>\u201cIf you are a cancer patient, your diagnosis is going to come from a pathology report that\u2019s in a completely different system than your electronic health record data. That program really does extract out the pertinent information from the pathology reports and then feeds it into our system for understanding cancer.\u201d<\/p>\n<h2>Mining massive datasets<\/h2>\n<p>Beyond extracting insights from individual records, NIH is also&#8230;<\/p>\n<p><a href=\"https:\/\/federalnewsnetwork.com\/artificial-intelligence\/2026\/05\/ai-data-exchange-2026-nihs-susan-gregurick-on-overcoming-data-silos-with-ai-analytics\/\">Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>AI &#038; Data Exchange 2026: NIH\u2019s Susan Gregurick on overcoming data silos with AI analytics&#8230;<\/p>\n","protected":false},"author":1,"featured_media":241840,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/federalnewsnetwork.com\/wp-content\/uploads\/2026\/04\/2.png","fifu_image_alt":"","footnotes":""},"categories":[14],"tags":[],"class_list":["post-241839","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence"],"_links":{"self":[{"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/241839"}],"collection":[{"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/comments?post=241839"}],"version-history":[{"count":1,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/241839\/revisions"}],"predecessor-version":[{"id":241843,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/241839\/revisions\/241843"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/media\/241840"}],"wp:attachment":[{"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/media?parent=241839"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/categories?post=241839"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/tags?post=241839"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}