This artificial intelligence combined with smart phones, cloud services and wearable devices can help early diabetes and diabetes friends to manage their health. DIABNEXTTM is built by the company’s scientists, statisticians, engineers, medical staff and dietitians. It is the world’s first artificial intelligence butler and analyzes reports based on personalized data. This report is available to physicians as a medical The reference data of the assessment also helps users to obtain better self-management. The DIABNEXTTM team is very happy to provide a better life for all diabetics. Developed by Paris, Boston, Taipei colleagues, DIABNEXTTM combines the self-learning capabilities of artificial intelligence with stylish and intelligent devices to develop a practical platform for home care for diabetics. The platform also helps researchers, clinicians and patients create a more complete medical database. In addition to patents for a number of diabetes care-related devices, DIABNEXTTM is the winner of the CES International Consumer Electronics Show in 2017.
Help the sugar friends understand the meaning behind the data and how to reach the preset health indicators by providing daily relevant values.
Create a suitable social network for your diabetes friends and communicate the right health information. DIABNEXT® fills in the shortcomings after clinical consultation and provides relevant health education knowledge to patients to achieve better diabetes care results. Moreover, in such a social network, patients can share their experiences and achievements, and work together for health.
Integrate multiple technical solutions, devices and applications with a streamlined, efficient and sustainable R&D philosophy.
The award we have received so far is an automatic recorder for diabetes management related equipment. In addition, the smart platform integrates information such as blood sugar, related medications, carbohydrates, weight, and exercise.
Genes, environment, lifestyle, and family genetic history are all key factors in clinical diagnosis. We expect to achieve more effective treatment and prevention.