DIABET - Innovate wrist device for high accuracy non-invasive blood glucose monitoring

糖尿病（diabetes mellitus）是一种全球性流行病。2014年，有3.87亿人（占世界人口的8.3%）患有糖尿病;到2035年，这将增加53%，达到5.92亿。不幸的是，英国人口老龄化和肥胖症患病率的增加意味着越来越多的人口可能有患糖尿病的风险。其影响将进一步加重已经紧张的NHS医疗保健系统的负担，该系统已经在管理疾病上花费了估计每分钟3万英镑。大多数糖尿病相关医疗保健费用（73%）可归因于严重/严重急性并发症的治疗，例如心脏病、中风、截肢等。然而，许多这些并发症是可预测的、可预防的和/或可以通过更好的自我管理（SM）和疾病控制来降低严重程度。成功管理糖尿病的一个主要挑战是准确的自我血糖监测（SMBG）。不幸的是，目前最好的血糖监测解决方案的侵入性（手指针刺试验）和成本意味着SMBG仍然很低。半侵入性解决方案是可用的，但这些也是昂贵的，并且需要结合使用手指针刺方法的日常血液测试。为了满足对无创连续监测解决方案的需求，并实现更好的糖尿病自我管理，DIABET项目将开发一种创新的数字腕关节设备，用于精确的无创B血糖监测。该联盟合作伙伴开发的先进传感器、数据处理和人工智能的结合，将为糖尿病患者提供第一个真正的非侵入性持续监测解决方案。

Diabetes mellitus (diabetes) is a global epidemic. In 2014, there were 387 million people (8.3% of the world's population) living with diabetes; by 2035 this will have increased by 53% to 592 million. The UK's ageing population and increasing prevalence of obesity unfortunately means that ever greater numbers of the population are likely to be at risk of developing diabetes. The effect will be further burdening of an already strained NHS health care system, which is already spending an estimated £30,000 per minute on managing the disease. The majority of diabetes related health care costs (73%) can be attributed to the treatment of severe/severe acute complications e.g. heart diseases, stroke, amputations etc. However, many of these complications are predictable, preventable and/or can be reduced in severity by better self-management (SM) and control of the disease. A major challenge in the successful management of diabetes is the accurate self-monitoring of blood-glucose (SMBG). Unfortunately, the invasive nature (finger prick test) and cost of best-in-class current glucose monitoring solutions means SMBG remains low. Semi-invasive solutions are available, but these are also costly and require combination with daily blood testing using finger prick method. To address the need for a non-invasive continuous monitoring solution and enable better self-management of diabetes, the DIABET project will develop an innovate digital wrist **d**evice for h**i**gh **a**ccuracy non-invasive **b**lood-glucos**e** moni**t**oring. The combination of advanced sensors, data processing, and artificial intelligence developed by the consortium partners will enable the first truly non-invasive continuous monitoring solution for people with diabetes.