{"id":35365,"date":"2026-03-24T15:05:00","date_gmt":"2026-03-24T15:05:00","guid":{"rendered":"https:\/\/www.tun.com\/home\/?p=35365"},"modified":"2026-03-24T19:07:57","modified_gmt":"2026-03-24T19:07:57","slug":"new-uva-algorithm-helps-people-better-manage-type-2-diabetes","status":"publish","type":"post","link":"https:\/\/www.tun.com\/home\/new-uva-algorithm-helps-people-better-manage-type-2-diabetes\/","title":{"rendered":"New UVA Algorithm Helps People Better Manage Type 2 Diabetes"},"content":{"rendered":"\n<div class=\"wp-block-group\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<div class=\"wp-block-uagb-blockquote uagb-block-e7eb3fc3 uagb-blockquote__skin-border uagb-blockquote__stack-img-none\"><blockquote class=\"uagb-blockquote\"><div class=\"uagb-blockquote__content\">A new algorithm from the University of Virginia, paired with a continuous glucose monitor, helped people with type 2 diabetes spend far more time in a safe blood sugar range. Researchers say it could make insulin dosing more personalized and less burdensome.<\/div><footer><div class=\"uagb-blockquote__author-wrap uagb-blockquote__author-at-left\"><\/div><\/footer><\/blockquote><\/div>\n\n\n\n<div class=\"wp-block-group is-content-justification-space-between is-nowrap is-layout-flex wp-container-core-group-is-layout-0dfbf163 wp-block-group-is-layout-flex\"><div style=\"font-size:16px;\" class=\"has-text-align-left wp-block-post-author\"><div class=\"wp-block-post-author__content\"><p class=\"wp-block-post-author__name\">The University Network<\/p><\/div><\/div>\n\n\n<div class=\"wp-block-uagb-social-share uagb-social-share__outer-wrap uagb-social-share__layout-horizontal uagb-block-ee584a31\">\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-ec619ce7\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/www.facebook.com\/sharer.php?u=\" tabindex=\"0\" role=\"button\" aria-label=\"facebook\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\"><path d=\"M504 256C504 119 393 8 256 8S8 119 8 256c0 123.8 90.69 226.4 209.3 245V327.7h-63V256h63v-54.64c0-62.15 37-96.48 93.67-96.48 27.14 0 55.52 4.84 55.52 4.84v61h-31.28c-30.8 0-40.41 19.12-40.41 38.73V256h68.78l-11 71.69h-57.78V501C413.3 482.4 504 379.8 504 256z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n\n\n\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-32d99934\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/twitter.com\/share?url=\" tabindex=\"0\" role=\"button\" aria-label=\"twitter\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\"><path d=\"M389.2 48h70.6L305.6 224.2 487 464H345L233.7 318.6 106.5 464H35.8L200.7 275.5 26.8 48H172.4L272.9 180.9 389.2 48zM364.4 421.8h39.1L151.1 88h-42L364.4 421.8z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n\n\n\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-1d136f14\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/www.linkedin.com\/shareArticle?url=\" tabindex=\"0\" role=\"button\" aria-label=\"linkedin\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 448 512\"><path d=\"M416 32H31.9C14.3 32 0 46.5 0 64.3v383.4C0 465.5 14.3 480 31.9 480H416c17.6 0 32-14.5 32-32.3V64.3c0-17.8-14.4-32.3-32-32.3zM135.4 416H69V202.2h66.5V416zm-33.2-243c-21.3 0-38.5-17.3-38.5-38.5S80.9 96 102.2 96c21.2 0 38.5 17.3 38.5 38.5 0 21.3-17.2 38.5-38.5 38.5zm282.1 243h-66.4V312c0-24.8-.5-56.7-34.5-56.7-34.6 0-39.9 27-39.9 54.9V416h-66.4V202.2h63.7v29.2h.9c8.9-16.8 30.6-34.5 62.9-34.5 67.2 0 79.7 44.3 79.7 101.9V416z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n<\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n<p>A new algorithm developed at the University of Virginia helped people with type 2 diabetes keep their blood sugar in a safer range, pointing to a future where managing the disease could be more precise and less stressful.<\/p>\n\n\n\n<p>In a clinical trial, the algorithm was paired with a continuous glucose monitor, a wearable device that tracks blood sugar throughout the day. Over 16 weeks, people who used the system were able to adjust their daily insulin dose based on weekly recommendations generated from their own data.<\/p>\n\n\n\n<p>Those participants increased the time they spent in a safe blood sugar range from 54.1% to 75.3%. By comparison, people who adjusted their insulin using standard self-monitoring methods saw only a modest increase, from 50.2% to 55.3%.<\/p>\n\n\n\n<p>The study, <a href=\"https:\/\/journals.sagepub.com\/doi\/full\/10.1177\/15209156261420193\" target=\"_blank\" rel=\"noopener\" title=\"\">published<\/a> in the journal <em>Diabetes Technology &amp; Therapeutics<\/em>, was led by Marc D. Breton, an associate director of research at the UVA Center for Diabetes Technology. He noted the findings show how digital tools can extend beyond fully automated insulin pumps, which are more commonly used by people with type 1 diabetes.<\/p>\n\n\n\n<p>\u201cThese results clearly show that diabetes technology and advanced algorithms can be leveraged to great effects, well beyond the classical paradigm of automated insulin delivery,\u201d Breton said in a news release.<\/p>\n\n\n\n<p>Type 2 diabetes is typically treated first with medications that help lower blood sugar. Over time, many patients need to add insulin. Figuring out the right insulin dose, however, is a moving target. The process, called insulin titration, usually requires frequent blood sugar checks, careful recordkeeping and repeated dose changes. It can be frustrating for patients and time-consuming for clinicians, and there is no single standard approach.<\/p>\n\n\n\n<p>That challenge motivated UVA Health researcher Anas El Fathi to design an algorithm that could make titration more consistent and less burdensome. The system analyzes the previous two weeks of continuous glucose monitor readings and then generates a weekly recommendation for how the user should adjust their once-daily insulin dose.<\/p>\n\n\n\n<p>Instead of relying on occasional finger-stick readings and guesswork, the algorithm draws on a rich stream of data about how a person\u2019s blood sugar behaves throughout the day and night. The goal is to use that information to fine-tune insulin more quickly and safely.<\/p>\n\n\n\n<p>Co-author Ralf Nass, a UVA Health researcher, noted the results were striking both in terms of performance and patient experience.<\/p>\n\n\n\n<p>\u201cFrom a medical point of view, it was fascinating to see that the algorithm was not only better than the standardized insulin titration recommendations, but also how well the technology was accepted by the participants with type 2 diabetes,\u201d Nass said in the news release. \u201cThis type of technology has the potential to help physicians enable their patients to achieve better glycemic control faster by using a personalized approach.\u201d<\/p>\n\n\n\n<p>The trial enrolled 30 adults with type 2 diabetes who were using one daily dose of insulin. Participants were randomly assigned to one of two groups. One group used the UVA-developed algorithm plus a continuous glucose monitor to guide weekly insulin adjustments. The other group continued with usual care, adjusting insulin based on self-monitoring of blood sugar.<\/p>\n\n\n\n<p>After 16 weeks, the algorithm group showed a much larger improvement in time spent in the target blood sugar range, suggesting that data-driven guidance can make a meaningful difference even in relatively early insulin therapy.<\/p>\n\n\n\n<p>Researchers say that matters because many people with type 2 diabetes struggle to reach and maintain recommended blood sugar levels, especially when they first start insulin. Better control can reduce the risk of long-term complications such as heart disease, kidney damage, nerve problems and vision loss.<\/p>\n\n\n\n<p>The study also highlights a broader shift in diabetes care toward connected devices and personalized recommendations. Continuous glucose monitors are becoming more common in type 2 diabetes, not just type 1, and more medical devices are able to share data with apps and clinical systems.<\/p>\n\n\n\n<p>Breton noted that combination of sensors and smart software could transform how care teams support patients between clinic visits.<\/p>\n\n\n\n<p>\u201cAs continuous glucose monitoring and connected medical devices become ubiquitous, we have the opportunity to provide highly personalized advice and monitoring to people with diabetes and guide their use of insulin and medications. Showing the impact of these technologies in early insulin therapy (only one dose a day) opens the door to helping the vast majority of people using insulin, well beyond what we were able to achieve with automated insulin delivery,\u201d he said.<\/p>\n\n\n\n<p>The researchers emphasize that the current trial was relatively small and short. Larger, longer studies with more diverse participants will be needed to confirm how well the algorithm works in real-world settings and to refine it for different patient groups.<\/p>\n\n\n\n<p>\u201cIt is only the very beginning of these efforts,\u201d Breton added. \u201cWith early demonstration behind us, we can focus on robust approaches that will be effective with more varied populations. Integrating recently developed data-driven methodologies, especially digital twins, to further improve our capacity to tailor diabetes managements to individuals is likely to once more revolutionize diabetes care.\u201d<\/p>\n\n\n\n<p>For people living with type 2 diabetes, the work offers a glimpse of a future where managing insulin may feel less like trial and error and more like having a data-savvy partner helping to guide each step. <\/p>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p><strong>Source: <\/strong><a href=\"https:\/\/www.uvahealth.com\/news\/new-algorithm-can-better-manage-type-2-diabetes-study-finds\" target=\"_blank\" rel=\"noopener\" title=\"\">University of Virginia Health System<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>A new algorithm from the University of Virginia, paired with a continuous glucose monitor, helped people with type 2 diabetes spend far more time in a safe blood sugar range. Researchers say it could make insulin dosing more personalized and less burdensome.<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"single-no-separators","format":"standard","meta":{"_acf_changed":false,"_uag_custom_page_level_css":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[8],"tags":[179],"class_list":["post-35365","post","type-post","status-publish","format-standard","hentry","category-ai","tag-university-of-virginia"],"acf":[],"aioseo_notices":[],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false},"uagb_author_info":{"display_name":"The University Network","author_link":"https:\/\/www.tun.com\/home\/author\/funky_junkie\/"},"uagb_comment_info":0,"uagb_excerpt":"A new algorithm from the University of Virginia, paired with a continuous glucose monitor, helped people with type 2 diabetes spend far more time in a safe blood sugar range. Researchers say it could make insulin dosing more personalized and less burdensome.","_links":{"self":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/35365","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/comments?post=35365"}],"version-history":[{"count":5,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/35365\/revisions"}],"predecessor-version":[{"id":35448,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/35365\/revisions\/35448"}],"wp:attachment":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/media?parent=35365"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/categories?post=35365"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/tags?post=35365"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}