DIABNEXT® develops a Next-Generation diabetes artificial intelligence
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DIABNEXT™ develops a Next-Generation Diabetes A.I. that is a revolution in Diabetes care.


Mobile solutions, cloud technology, and connected devices are converging to create a new Artificial Intelligence that optimizes Diabetes and Pre-Diabetes Management.

With scientists, statisticians, engineers, specialist healthcare professionals and nutritionists on board, the company has built DIABNEXT, the first Diabetes A.I. that enables unique personalized metric analysis and decision making tools for doctors and patients to better manage pre-diabetes and diabetes. The DIABNEXT™ team is thrilled to be making life better for all the diabetics. DIABNEXT is the combination of smart sensors, beautiful design, machine learning A.I. and deep understanding of diabetes.

DIABNEXT’s technology creates brand new resources and provides access to an untapped knowledge base for researchers, clinicians, and patients by integrating the latest technologies into a one-stop innovative Diabetes care A.I. Based in Boston, Taipei, and Hong Kong, DIABNEXT™ owns many patents in Diabetes care, and won CES Innovation Award in the Biotech category in 2017.

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Engage with patients to help them own and understand their health metrics and the impact of their daily decisions.


Create community based, optimized information for patients. DIABNEXT® fills the gap between clinic visits, providing the continuity of care needed to empower people with diabetes to achieve great health outcomes. In their community, the patient may share best practice and invite to follow others.

Open health management

Facilitate interaction between multiple technical solutions, devices and applications in a more streamlined, scalable and efficient way. Our award-winning diabetes management solution automatically tracks all the essentials — blood glucose, medication, carbs, weight, activity etc… — in one single intelligent platform.

Diabetes disease influencing factors

Genes, environment, lifestyle, and family history are all key factors in clinical decision, more effective treatment, and prevention.

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