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Dario Demonstrates Clinically Meaningful Blood Glucose Improvements and Personalized Glycemic Trajectories Across 22,000+ Users: Machine Learning Study Findings Published in Frontiers in Digital Health
DarioHealth Corp. (NASDAQ: DRIO) (the "Company", "DarioHealth" or "Dario"), a leader in global digital health, today announced the publication of new peer-reviewed research in Frontiers in Digital Health demonstrating substantial and sustained blood glucose improvements among users of the Dario platform.
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[{"type":"text","content":"Findings reinforce that engagement data provide clinical signals directly impacting ROI","length":87,"tagName":"p"},{"type":"text","content":"Analysis further reveals specific frequency of measurements that drive clinical outcomes and bend the cost curve","length":112,"tagName":"p"},{"type":"text","content":"NEW YORK, March 10, 2026 /PRNewswire/ -- DarioHealth Corp. (NASDAQ: DRIO) (the "Company", "DarioHealth" or "Dario"), a leader in global digital health, today announced the publication of new peer-reviewed research in Frontiers in Digital Health demonstrating substantial and sustained blood glucose improvements among users of the Dario platform.","length":376,"tagName":"p"},{"type":"image","alt":"Dario Logo","displaySize":"","headline":null,"caption":"Dario Logo","className":"","disableSlideshowImg":false,"size":{"original":{"width":400,"height":343,"url":"https://media.zenfs.com/en/prnewswire.com/c5f5995e168cf74689513b45bd90d485"},"resized":{"url":"https://s.yimg.com/ny/api/res/1.2/jC9OmKRCZYHTdykGPv3d_g--/YXBwaWQ9aGlnaGxhbmRlcjt3PTcwNTtoPTYwNTtjZj13ZWJw/https://media.zenfs.com/en/prnewswire.com/c5f5995e168cf74689513b45bd90d485","width":400,"height":343}}},{"type":"text","content":"The observational study, titled "Machine learning and engagement insights for personalized blood glucose management," analyzed real-world data from 22,414 adults with type 2 diabetes and baseline blood glucose levels in the high-risk range. Using advanced machine learning ("ML") models and longitudinal mixed-effects analyses, researchers identified distinct glycemic trajectories moderated by demographic, clinical and engagement factors.","length":465,"tagName":"p"},{"type":"text","content":"By applying generalized linear mixed-effects tree models, researchers uncovered key moderating factors that influence glycemic improvement. Importantly, outcomes suggested broad across diverse user populations, as demonstrated with no meaningful body mass index ("BMI") difference across ethnicities. Higher levels of digital engagement – specifically frequent blood glucose monitoring and lifestyle activities tags – were associated with stronger, more durable glycemic improvements. A key, actionable insight identified 12 measurements per month as a threshold of glycemic improvement.","length":597,"t...