{"id":88205,"date":"2025-08-16T22:30:31","date_gmt":"2025-08-16T22:30:31","guid":{"rendered":"https:\/\/www.newsbeep.com\/us\/88205\/"},"modified":"2025-08-16T22:30:31","modified_gmt":"2025-08-16T22:30:31","slug":"penn-developed-ai-tools-and-datasets-help-tailor-treatments-for-kidney-patients","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/us\/88205\/","title":{"rendered":"Penn-developed AI tools and datasets help tailor treatments for kidney patients"},"content":{"rendered":"<p class=\"p1\">Doctors treating kidney disease have long depended on trial-and-error to find the best therapies for individual patients. Now, new artificial intelligence (AI) tools developed by researchers in the Perelman School of Medicine and the Wharton School can analyze kidney disease at the cellular level to match the most effective treatments and speed up solutions. This research is published in <a href=\"https:\/\/www.nature.com\/articles\/s41588-025-02285-0\" rel=\"nofollow noopener\" target=\"_blank\">Nature Genetics<\/a>.<\/p>\n<p>                            Image: Natali_Mis via Getty Images<\/p>\n<p class=\"p1\">\u201cKidney diseases are not all the same, but the use of AI helped us identify and catalog 70 distinct kinds of kidney cells that appear across human and animal samples. This improves the reliability of research and can lead to potential treatments,\u201d says <a href=\"https:\/\/genetics.med.upenn.edu\/faculty-profile\/8487177\" rel=\"nofollow noopener\" target=\"_blank\">Katalin Susztak<\/a>, a professor of nephrology and genetics and director of the <a href=\"https:\/\/www.research.chop.edu\/penn-chop-kidney-innovation-center\" rel=\"nofollow noopener\" target=\"_blank\">Penn\/CHOP Kidney Innovation Center<\/a>.<\/p>\n<p class=\"p1\">The Penn team tackled a major challenge in single-cell RNA sequencing, a cutting-edge technique that examines the genetic activity of individual cells. The solution includes <a href=\"https:\/\/susztaklab.com\/SISKA\/mouse\" rel=\"nofollow noopener\" target=\"_blank\">SISKA 1.0 Atlas<\/a>: A massive dataset built from over 1 million cells across 140 human, mouse, and rat kidney samples. In combination with a new statistical method that examines gene programs\u2014sets of co-regulated genes representing biological pathways\u2014rather than individual genes, it was easier to spot disease-related problems in a person\u2019s cells.<\/p>\n<p class=\"p1\">\u201cWe built CellSpectra to do what current methods cannot: analyze one patient\u2019s sample at a time, and interpret it in the context of species, disease, and therapy,\u201d says <a href=\"https:\/\/statistics.wharton.upenn.edu\/profile\/nzh\/\" rel=\"nofollow noopener\" target=\"_blank\">Nancy Zhang<\/a>, the Ge Li and Ning Zhao Professor of Statistics at the <a href=\"https:\/\/www.wharton.upenn.edu\/\" rel=\"nofollow noopener\" target=\"_blank\">Wharton School.<\/a><\/p>\n<p class=\"p1\">The Susztak team has also created the first comprehensive catalog of kidney proteins, offering a new lens on how protein abundance, not just gene expression, contributes to disease. This work, published in <a href=\"https:\/\/www.nature.com\/articles\/s41591-025-03872-8\" rel=\"nofollow noopener\" target=\"_blank\">Nature Medicine<\/a>, finds that protein levels in kidney cells often don\u2019t match gene activity (a mismatch called discordance), showing that studying genes alone isn\u2019t enough to understand how diseases develop.<\/p>\n<p>Read more at <a href=\"https:\/\/www.pennmedicine.org\/news\/ai-tools-help-tailor-treatments-for-kidney-patients\" rel=\"nofollow noopener\" target=\"_blank\">Penn Medicine News<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"Doctors treating kidney disease have long depended on trial-and-error to find the best therapies for individual patients. Now,&hellip;\n","protected":false},"author":2,"featured_media":88206,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[50],"tags":[200,79],"class_list":["post-88205","post","type-post","status-publish","format-standard","has-post-thumbnail","category-genetics","tag-genetics","tag-science"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts\/88205","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/comments?post=88205"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts\/88205\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/media\/88206"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/media?parent=88205"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/categories?post=88205"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/tags?post=88205"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}