{"id":127023,"date":"2021-08-31T23:22:29","date_gmt":"2021-09-01T06:22:29","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2021\/08\/ai-identifies-single-diseased-cells"},"modified":"2021-08-31T23:22:29","modified_gmt":"2021-09-01T06:22:29","slug":"ai-identifies-single-diseased-cells","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2021\/08\/ai-identifies-single-diseased-cells","title":{"rendered":"AI identifies single diseased cells"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/ai-identifies-single-diseased-cells3.jpg\"><\/a><\/p>\n<p>The Human Cell Atlas is the world\u2019s largest, growing single-cell reference atlas. It contains references of millions of cells across tissues, organs and developmental stages. These references help physicians to understand the influences of aging, environment and disease on a cell\u2014and ultimately diagnose and treat patients better. Yet, reference atlases do not come without challenges. Single-cell datasets may contain measurement errors (batch effect), the global availability of computational resources is limited and the sharing of raw data is often legally restricted.<\/p>\n<p>Researchers from Helmholtz Zentrum M\u00fcnchen and the Technical University of Munich (TUM) developed a novel <a href=\"https:\/\/phys.org\/tags\/algorithm\/\" rel=\"tag\" class=\"\">algorithm<\/a> called \u201cscArches,\u201d short for single-cell architecture surgery. The biggest advantage: \u201cInstead of sharing raw data between clinics or research centers, the algorithm uses transfer learning to compare new <a href=\"https:\/\/phys.org\/tags\/datasets\/\" rel=\"tag\" class=\"\">datasets<\/a> from single-cell genomics with existing references and thus preserves privacy and anonymity. This also makes annotating and interpreting of new data sets very easy and democratizes the usage of single-cell reference atlases dramatically,\u201d says Mohammad Lotfollahi, the leading scientist of the algorithm.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The Human Cell Atlas is the world\u2019s largest, growing single-cell reference atlas. It contains references of millions of cells across tissues, organs and developmental stages. These references help physicians to understand the influences of aging, environment and disease on a cell\u2014and ultimately diagnose and treat patients better. Yet, reference atlases do not come without challenges. [\u2026]<\/p>\n","protected":false},"author":359,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11,41,269,6],"tags":[],"class_list":["post-127023","post","type-post","status-publish","format-standard","hentry","category-biotech-medical","category-information-science","category-life-extension","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/127023","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/359"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=127023"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/127023\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=127023"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=127023"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=127023"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}