{"id":21196,"date":"2026-04-26T15:14:52","date_gmt":"2026-04-26T13:14:52","guid":{"rendered":"https:\/\/thesmartcityjournal.cibeles.net\/sin-categoria\/improving-the-success-of-kidney-transplants-with-ai-supported-precision-medicine\/"},"modified":"2026-04-26T15:17:16","modified_gmt":"2026-04-26T13:17:16","slug":"improving-the-success-of-kidney-transplants-with-ai-supported-precision-medicine","status":"publish","type":"post","link":"https:\/\/www.thesmartcityjournal.com\/en\/healthtech\/improving-the-success-of-kidney-transplants-with-ai-supported-precision-medicine","title":{"rendered":"Improving the success of kidney transplants with AI-supported precision medicine"},"content":{"rendered":"<p><i><span style=\"font-weight: 400\">With chronic kidney disease affecting over 100 million Europeans and costing around EUR 140 billion annually, EU-TRAIN helps address the urgent need for more accurate diagnostics<\/span><\/i><\/p>\n<p><span style=\"font-weight: 400\">For patients with end-stage kidney disease, an organ transplant can be their best hope for recovery. Yet despite medical advances such as immunosuppressive drugs, around 10 % of kidney transplants are rejected within the first year, says Maud Racap\u00e9 from the French National Institute of Health and Medical Research(opens in new window).<\/span><\/p>\n<p><span style=\"font-weight: 400\">\u201cWith so many factors involved, predicting rejection is challenging,\u201d says Racap\u00e9, coordinator of the EU-TRAIN(opens in new window) project. \u201cOur EU-TRACER tool uses relevant clinical, immune system, genetic and biomarker data to quantify individual risks.\u201d<\/span><\/p>\n<p><span style=\"font-weight: 400\">Accessible through a secure web-based interface, EU-TRACER helps clinicians assess patients in real time for early signs of rejection, alongside high or low risk of complications, to avoid unnecessary invasive procedures.<\/span><\/p>\n<p><span style=\"font-weight: 400\">\u201cIncorporating non-invasive biomarkers and gene expression data into care parameters could improve prediction accuracy by around 30 %,\u201d adds Racap\u00e9.<\/span><\/p>\n<h2>Multidimensional data for risk stratification<\/h2>\n<p><span style=\"font-weight: 400\">EU-TRAIN combined an existing database of over 5 000 kidney transplant recipients with new data gleaned from two patient studies.<\/span><\/p>\n<p><span style=\"font-weight: 400\">In the first, machine-learning techniques and advanced statistical modelling analysed thousands of data points from 554 patients to ascertain if both new and previously identified biomarkers could help predict transplant rejection.<\/span><\/p>\n<p><span style=\"font-weight: 400\">\u201cMany of the biomarkers tested, informed by previously published results(opens in new window), did not significantly improve rejection predictions compared to standard monitoring, highlighting the importance of real-world testing,\u201d notes Racap\u00e9. \u201cThe exception was CD4, a protein that activates other immune cells, alongside so-called \u2018circulating anti-HLA DSA\u2019, blood antibodies that attack transplanted organ proteins.\u201d<\/span><\/p>\n<h2>Leveraging AI-enabled precision medicine<\/h2>\n<p><span style=\"font-weight: 400\">These results informed the second study testing the AI-enabled EU-TRACER tool to evaluate if biomarker-guided monitoring safely reduced the number of biopsies performed within the first year of transplantation.<\/span><\/p>\n<p><span style=\"font-weight: 400\">The tool\u2019s algorithm, informed by select clinical, biological and immunological parameters relevant to rejection prediction \u2013 including a new promising non-invasive biomarker called donor-derived cell-free DNA (dd-cfDNA) \u2013 was applied to 342 new kidney transplant patients.<\/span><\/p>\n<p><span style=\"font-weight: 400\">\u201cInstead of doctors having to review separate patient charts, the algorithm aggregates the most predictive parameters,\u201d explains Racap\u00e9.<\/span><\/p>\n<p><span style=\"font-weight: 400\">Compared with a control group with standard compatibility monitoring, 64 % of biopsies were cancelled in the EU-TRACER group. There were similar rates of rejection, renal function, donor organ loss and death between both groups. \u201cThese results show that the EU-TRACER tool can be safely used to avoid invasive protocol biopsies,\u201d notes Racap\u00e9.<\/span><\/p>\n<h2>The transition from research to clinical use<\/h2>\n<p><span style=\"font-weight: 400\">With chronic kidney disease affecting over 100 million Europeans and exerting annual health costs of EUR 140 billion(opens in new window), EU-TRAIN helps address the urgent need for more accurate diagnostics and effective treatments.<\/span><\/p>\n<p><span style=\"font-weight: 400\">More broadly, the project contributes to European initiatives to advance personalised medicine(opens in new window) for improved healthcare outcomes.<\/span><\/p>\n<p><span style=\"font-weight: 400\">The team is now extending the EU-TRACER Impact Study to assess if the tool can also avoid biopsies for suspected organ rejection. Meanwhile EU-TRACER will be further validated in larger more diverse patient populations, with new biomarkers fed into its predictive models.<\/span><\/p>\n<p><span style=\"font-weight: 400\">\u201cOur vision is to expand the platform to other organ transplants \u2013 already under way in heart transplantation \u2013 to help establish data-driven precision medicine as standard in transplant care,\u201d concludes Racap\u00e9.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>With chronic kidney disease affecting over 100 million Europeans and costing around EUR 140 billion annually, EU-TRAIN helps address the urgent need for more accurate diagnostics For patients with end-stage kidney disease, an organ transplant can be their best hope for recovery. Yet despite medical advances such as immunosuppressive drugs, around 10 % of kidney\u2026<\/p>\n","protected":false},"author":2,"featured_media":21194,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_scj_primary_category_id":92,"_scj_featured":false,"_scj_featured_from":"","_scj_featured_until":"","_scj_featured_order":0,"_scj_visibility_class":"current","_scj_layout_family":"standard","_scj_article_style":"","_scj_display_overrides":[],"_scj_intro_image_id":21194,"_scj_intro_alt":"Improving the success of kidney transplants with AI-supported precision medicine","_scj_intro_caption":"","_scj_intro_class":"","_scj_intro_float":"","_scj_full_image_id":21194,"_scj_full_alt":"Improving the success of kidney transplants with AI-supported precision medicine","_scj_full_caption":"","_scj_full_class":"","_scj_full_float":"","_scj_media_type":"","_scj_media_provider":"","_scj_media_external_id":"","_scj_media_url":"","_scj_media_poster_id":0,"_scj_media_width":0,"_scj_media_height":0,"_scj_media_aspect_ratio":"","_scj_media_description":"","_scj_gallery_items":[],"_scj_related_post_ids":[],"_scj_additional_authors":[],"scj_layout_family":"standard","scj_media_provider":"","scj_media_url":"","scj_full_caption":"","footnotes":""},"categories":[92],"tags":[173,3784,3783,3782,247,303],"class_list":["post-21196","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-healthtech","tag-artificial-intelligence","tag-biomarker-research","tag-clinical-diagnostics","tag-kidney-transplant","tag-medical-innovation","tag-precision-medicine"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Improving the success of kidney transplants with AI-supported precision medicine - thesmartcityjournal.com<\/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.thesmartcityjournal.com\/en\/healthtech\/improving-the-success-of-kidney-transplants-with-ai-supported-precision-medicine\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Improving the success of kidney transplants with AI-supported precision medicine - thesmartcityjournal.com\" \/>\n<meta property=\"og:description\" content=\"With chronic kidney disease affecting over 100 million Europeans and costing around EUR 140 billion annually, EU-TRAIN helps address the urgent need for more accurate diagnostics For patients with end-stage kidney disease, an organ transplant can be their best hope for recovery. 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