{"id":13231,"date":"2025-09-18T10:51:48","date_gmt":"2025-09-18T14:51:48","guid":{"rendered":"https:\/\/afcomunicacion.com\/uncategorized\/cleveland-clinic-ai-and-precision-coaching-improve-outcomes-in-type-diabetes\/"},"modified":"2025-09-18T10:51:48","modified_gmt":"2025-09-18T14:51:48","slug":"cleveland-clinic-ai-and-precision-coaching-improve-outcomes-in-type-diabetes","status":"publish","type":"post","link":"https:\/\/afcomunicacion.com\/en\/press-room\/cleveland-clinic-ai-and-precision-coaching-improve-outcomes-in-type-diabetes\/","title":{"rendered":"Cleveland Clinic: AI and precision coaching improve outcomes in type diabetes"},"content":{"rendered":"\n<ul class=\"wp-block-list\">\n<li><em>A Cleveland Clinic study shows that 71% of adults with type 2 diabetes who used a system with artificial intelligence managed to control their glucose with fewer medicines.<\/em><\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>September 2025, Cleveland-<\/strong> New research led by Cleveland Clinic has shown that a combined system of technology-driven interventions, using artificial intelligence (AI) to provide personalised health information and lifestyle recommendations, can improve glycaemic control in adults with type 2 diabetes.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The findings, published today in New England Journal of Medicine Catalyst, showed that 71% of study participants who used the bundled intervention system met the primary endpoint of achieving an A1C of 6.5% with fewer medicines. Kevin M. Pantalone, D.O., Director of Diabetes Initiatives at Cleveland Clinic and professor of medicine at Cleveland Clinic Lerner College of Medicine, served as principal investigator for the study.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Developed by Twin Health, the bundled intervention system (called Twin Precision Treatment) monitors real-time health metrics collected from a patient&#8217;s wearable sensors and Bluetooth-connected devices and includes human tele-coaching. The system continuously tracks real-time health metrics such as blood glucose levels, weight, blood pressure, physical activity and sleep, using data from wearable sensors and Bluetooth-connected devices (including a continuous glucose monitor). Through a smartphone app interface, these insights provide highly personalised, real-time nutrition and exercise guidance, encouraging patients to make sustainable health improvements. The specific dietary recommendations generated by the app were based on AI-enabled predictions of each patient&#8217;s blood glucose responses to particular meals.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For the clinical trial, Dr Pantalone worked with a team of 13 Cleveland Clinic primary care physicians to recruit 150 patients: 100 were assigned to the bundled intervention group and 50 to the standard care group. On average, patients were 58.5 years old, had been living with type 2 diabetes for around nine years and had a mean body mass index (BMI) of 35.1 and an average A1C level of 7.2%. The study&#8217;s authors set out to explore whether this bundled intervention system could help people with type 2 diabetes, treated in a primary care setting, reach their blood sugar targets while reducing their need for glucose-lowering medicines.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&#8220;In routine clinical practice, type 2 diabetes is often treated with a one-size-fits-all approach in which people are prescribed medicines and told to &#8216;watch their diet and stay active&#8217;,&#8221; said Dr Pantalone. &#8220;By using personalised lifestyle modifications to understand each patient&#8217;s unique metabolic profile, the tool allowed people to make impactful lifestyle decisions. The results show that, with the right tools, we can not only manage type 2 diabetes more effectively, but also reduce reliance on glucose-lowering medicines.&#8221;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">All study participants were prescribed metformin, a common diabetes medicine, with doses adjusted as needed throughout the study. The primary endpoint was to see how many participants reached an A1C below 6.5% after 12 months without needing any glucose-lowering medicine other than metformin.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The results showed that 71% of participants enrolled in the bundled intervention group reduced their A1C levels below the 6.5% threshold while taking only metformin. By comparison, only 2.4% of participants who received standard care achieved the same result.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Participants in the bundled intervention group also lost more weight (8.6% against 4.6%) while significantly reducing their reliance on glucose-lowering medicines:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u00b7 Use of GLP-1 receptor agonist medicines fell from 41% to 6% among participants<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u00b7 Use of SGLT-2 inhibitors fell from 27% to 1% of participants<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u00b7 Use of dipeptidyl peptidase-4 (DPP-4) inhibitors fell from 33% to 3% of participants<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u00b7 Insulin: insulin use fell from 24% to 13% among participants<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Quality of life scores and treatment satisfaction were notably better for those using the intervention, which highlights its potential as a highly effective and sustainable option for diabetes control. According to the Centers for Disease Control and Prevention, almost 1 in 10 Americans has diabetes, and approximately 90% of these cases are type 2 diabetes. The longer a person lives with the disease and has persistently high blood sugar levels, the greater the risk of serious complications such as heart disease, kidney disease, stroke and death.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&#8220;Overall, our study showed that the AI-enabled sensor and coaching system brought about significant improvements in glycaemic control, weight loss and quality of life compared with usual care, while allowing a marked reduction in glucose-lowering pharmacotherapy. Interventions like this system can help patients make informed, lasting lifestyle changes to control their blood sugar,&#8221; said Dr Pantalone.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The study also highlights the fundamental role of primary care physicians in driving clinical research and patient outcomes.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&#8220;The relationships of trust between primary care physicians and their patients were fundamental in identifying, engaging and enrolling participants,&#8221; added Dr Pantalone. &#8220;This collaboration underlines the importance of clinical research that begins in the examination room, where meaningful conversations and change can take root.&#8221;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>About Cleveland Clinic<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Cleveland Clinic is a non-profit multispecialty academic medical centre that integrates clinical and hospital care with research and education. Located in Cleveland, Ohio, it was founded in 1921 by four renowned physicians with a vision of providing outstanding patient care built on the principles of cooperation, compassion and innovation. Cleveland Clinic has pioneered many medical breakthroughs, including coronary artery bypass surgery and the first face transplant in the United States. U.S. News &amp; World Report consistently names Cleveland Clinic as one of the nation&#8217;s best hospitals in its annual &#8220;America&#8217;s Best Hospitals&#8221; survey. Among Cleveland Clinic&#8217;s 81,000 employees worldwide are more than 5,743 salaried physicians and researchers, and 20,160 registered nurses and advanced practice providers, representing 140 medical specialities and subspecialities. Cleveland Clinic is a 6,690-bed health system that includes a 173-acre main campus near downtown Cleveland, 23 hospitals, more than 276 outpatient facilities and locations in southeast Florida; Las Vegas, Nevada; Toronto, Canada; Abu Dhabi, United Arab Emirates; and London, England. In 2023, there were a total of 13.7 million outpatient visits, 323,000 hospital admissions and observations and 301,000 surgical cases across the Cleveland Clinic health system. Patients came for treatment from every state and from 132 countries.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>September 2025, Cleveland- New research led by Cleveland Clinic has shown that a combined system of technology-driven interventions, using artificial intelligence (AI) to provide personalised health information and lifestyle recommendations, can improve glycaemic control in adults with type 2 diabetes. The findings, published today in New England Journal of Medicine Catalyst, showed that 71% of [&hellip;]<\/p>\n","protected":false},"author":12,"featured_media":10883,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[486],"tags":[],"class_list":["post-13231","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-press-room"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v28.3 (Yoast SEO v28.3) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Cleveland Clinic: AI and precision coaching improve outcomes in type diabetes - AFCE<\/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:\/\/afcomunicacion.com\/en\/press-room\/cleveland-clinic-ai-and-precision-coaching-improve-outcomes-in-type-diabetes\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cleveland Clinic: AI and precision coaching improve outcomes in type diabetes\" \/>\n<meta property=\"og:description\" content=\"September 2025, Cleveland- New research led by Cleveland Clinic has shown that a combined system of technology-driven interventions, using artificial intelligence (AI) to provide personalised health information and lifestyle recommendations, can improve glycaemic control in adults with type 2 diabetes. 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