{"id":3412,"date":"2025-06-10T01:30:05","date_gmt":"2025-06-10T05:30:05","guid":{"rendered":"https:\/\/med.virginia.edu\/diabetes-technology\/?p=3412"},"modified":"2026-06-08T11:57:14","modified_gmt":"2026-06-08T15:57:14","slug":"digital-twin-technology","status":"publish","type":"post","link":"https:\/\/med.virginia.edu\/diabetes-technology\/2025\/06\/10\/digital-twin-technology\/","title":{"rendered":"Digital Twin Technology"},"content":{"rendered":"<p><strong>June 9, 2025 &#8211; The University of Virginia Center for Diabetes Technology<\/strong> study finds that adaptive biobehavioral control technology using digital twin simulations improved the performance of the UVA-developed artificial pancreas system for patients living with Type 1 Diabetes (T1D), increasing the time spent in safe blood sugar range from 72% to 77% and reducing average Hemoglobin A1c levels from 6.8% to 6.6%. The digital twin technology allows users to simulate virtually the effects of adjustments in insulin dosing before making the changes in real life.<\/p>\n<blockquote><p><span data-teams=\"true\"><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-3517 alignright\" src=\"https:\/\/med.virginia.edu\/diabetes-technology\/wp-content\/uploads\/sites\/265\/2024\/05\/Screenshot-2024-05-14-at-3.24.24\u202fPM-300x219.png\" alt=\"Director of the UVA Center for Diabetes Technology, Dr. Boris Kovatchev, PhD. pictured posing.\" width=\"300\" height=\"219\" srcset=\"https:\/\/med.virginia.edu\/diabetes-technology\/wp-content\/uploads\/sites\/265\/2024\/05\/Screenshot-2024-05-14-at-3.24.24\u202fPM-300x219.png 300w, https:\/\/med.virginia.edu\/diabetes-technology\/wp-content\/uploads\/sites\/265\/2024\/05\/Screenshot-2024-05-14-at-3.24.24\u202fPM-1024x747.png 1024w, https:\/\/med.virginia.edu\/diabetes-technology\/wp-content\/uploads\/sites\/265\/2024\/05\/Screenshot-2024-05-14-at-3.24.24\u202fPM-768x560.png 768w, https:\/\/med.virginia.edu\/diabetes-technology\/wp-content\/uploads\/sites\/265\/2024\/05\/Screenshot-2024-05-14-at-3.24.24\u202fPM-274x200.png 274w, https:\/\/med.virginia.edu\/diabetes-technology\/wp-content\/uploads\/sites\/265\/2024\/05\/Screenshot-2024-05-14-at-3.24.24\u202fPM.png 1470w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/>\u201cArtificial pancreas systems require adjustments by those who use them to adapt to a person\u2019s changing insulin demands,\u201d said Boris Kovatchev, PhD., Director of the UVA Center for Diabetes Technology. \u201cThis is the first study that maps each person to their \u2018digital twin\u2019 in the cloud and enables people with diabetes to experiment with their own data to learn how their artificial pancreas system would react to changes, in a safe simulation environment, before adjusting their system.\u201d<\/span><\/p><\/blockquote>\n<p>Adaptive biobehavioral control technology is designed to improve blood-sugar control during the day, when fluctuations occur more frequently due to meals and physical activity. This new technology uses \u201cdigital twins,\u201d computer models simulating how a person\u2019s body processes sugar. The models help the artificial pancreas keep up with changes in the user\u2019s body and habits and give users a way to interact with the system. For example, users can try different settings, like how much insulin is released overnight, using the simulation before applying them in real life.<\/p>\n<blockquote><p>\u201cHuman-machine co-adaptation is critical for conditions like Type 1 diabetes, where treatment decisions are made both by the artificial pancreas algorithm and the person who wears it,\u201d Kovatchev said. \u201cDigital-twin technology is very helpful in facilitating this co-adaptation.\u201d<\/p><\/blockquote>\n<p><a class=\"button\" href=\"https:\/\/www.nature.com\/articles\/s41746-025-01679-y#Sec2\">Publication Article<\/a><\/p>\n<h5>News Coverage<\/h5>\n<p><a class=\"button\" href=\"https:\/\/news.virginia.edu\/content\/uvas-artificial-pancreas-uses-digital-twin-tech-improve-diabetes-control\">UVA News<\/a><\/p>\n<p><a class=\"button\" href=\"https:\/\/www.29news.com\/2025\/06\/09\/uva-develops-smarter-artificial-pancreas-improve-diabetes-control\/\">29 News<\/a><\/p>\n<p><a class=\"button\" href=\"https:\/\/www.cbs19news.com\/news\/university-of-virginia-develops-artificial-pancreas-system\/article_945a8c94-1aae-4861-8a88-6172df0a3d38.html\">CBS19<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>June 9, 2025 &#8211; The University of Virginia Center for Diabetes Technology study finds that adaptive biobehavioral control technology using digital twin simulations improved the performance of the UVA-developed artificial pancreas system for patients living with Type 1 Diabetes (T1D), increasing the time spent in safe blood sugar range from 72% to 77% and reducing [&hellip;]<\/p>\n","protected":false},"author":1866,"featured_media":3778,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[18],"tags":[22],"class_list":["post-3412","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-cdt-news-articles","tag-intranet"],"acf":false,"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Digital Twin Technology - Center for Diabetes Technology<\/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:\/\/med.virginia.edu\/diabetes-technology\/2025\/06\/10\/digital-twin-technology\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Digital Twin Technology - Center for Diabetes Technology\" \/>\n<meta property=\"og:description\" content=\"June 9, 2025 &#8211; The University of Virginia Center for Diabetes Technology study finds that adaptive biobehavioral control technology using digital twin simulations improved the performance of the UVA-developed artificial pancreas system for patients living with Type 1 Diabetes (T1D), increasing the time spent in safe blood sugar range from 72% to 77% and reducing [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/med.virginia.edu\/diabetes-technology\/2025\/06\/10\/digital-twin-technology\/\" \/>\n<meta property=\"og:site_name\" content=\"Center for Diabetes Technology\" \/>\n<meta property=\"article:published_time\" content=\"2025-06-10T05:30:05+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-06-08T15:57:14+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/med.virginia.edu\/diabetes-technology\/wp-content\/uploads\/sites\/265\/2025\/06\/Header-SF-Artificial-Pancreas-JD.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"2500\" \/>\n\t<meta property=\"og:image:height\" content=\"1667\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"mgm3t@virginia.edu\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"mgm3t@virginia.edu\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/med.virginia.edu\\\/diabetes-technology\\\/2025\\\/06\\\/10\\\/digital-twin-technology\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/med.virginia.edu\\\/diabetes-technology\\\/2025\\\/06\\\/10\\\/digital-twin-technology\\\/\"},\"author\":{\"name\":\"mgm3t@virginia.edu\",\"@id\":\"https:\\\/\\\/med.virginia.edu\\\/diabetes-technology\\\/#\\\/schema\\\/person\\\/1b22b9c7f969019c92707a1fb15be706\"},\"headline\":\"Digital Twin Technology\",\"datePublished\":\"2025-06-10T05:30:05+00:00\",\"dateModified\":\"2026-06-08T15:57:14+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/med.virginia.edu\\\/diabetes-technology\\\/2025\\\/06\\\/10\\\/digital-twin-technology\\\/\"},\"wordCount\":297,\"image\":{\"@id\":\"https:\\\/\\\/med.virginia.edu\\\/diabetes-technology\\\/2025\\\/06\\\/10\\\/digital-twin-technology\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/med.virginia.edu\\\/diabetes-technology\\\/wp-content\\\/uploads\\\/sites\\\/265\\\/2025\\\/06\\\/Header-SF-Artificial-Pancreas-JD.jpg\",\"keywords\":[\"Intranet\"],\"articleSection\":[\"CDT News &amp; 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