Innovative new model predicts glucose levels without poking or prodding
L Wedland et al, NPJ Digital Medicine, August 20, 2021
Non-invasive glucose monitoring once seemed like an impossible challenge, but today’s technology and the incredible work of Bent et al. promise a future in which daily fingersticks are obsolete. The new challenge will be realizing that promise in an accessible and practical way that benefits all patients.
Preventing type 1 diabetes in childhood.
Dayan Colin M et al. Science (New York, N.Y.) 2021 7 (6554) 506-510
Type 1 diabetes (T1D) is an autoimmune disease in which the insulin-producing ß cells of the pancreas are destroyed by T lymphocytes. Recent studies have demonstrated that monitoring for pancreatic islet autoantibodies, combined with genetic risk assessment, can identify most children who will develop T1D when they still have sufficient ß cell function to control glucose concentrations without the need for insulin.
Immunotherapy: Building a bridge to a cure for type 1 diabetes.
Bluestone Jeffrey A et al. Science (New York, N.Y.) 2021 7 (6554) 510-516
Over the past two decades, research has identified multiple immune cell types and soluble factors that destroy insulin-producing ß cells. These insights into disease pathogenesis have enabled the development of therapies to prevent and modify T1D. In this review, we highlight the key events that initiate and sustain pancreatic islet inflammation in T1D, the current state of the immunological therapies, and their advantages for the treatment of T1D.
Deep transfer learning and data augmentation improve glucose levels prediction in type 2 diabetes patients
Y Deng et al, NPJ Digital Medicine, July 14, 2021
We developed deep-learning methods to predict patient-specific blood glucose during various time horizons in the immediate future using patient-specific every 30-min long glucose measurements by the continuous glucose monitoring (CGM) to predict future glucose levels in 5?min to 1?h.
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