Intelligent Insulin vs. Artificial Intelligence for Type 1 Diabetes: Will the Real Winner Please Stand Up?

Valentina Maria Cambuli,Marco Giorgio Baroni

International journal of molecular sciences(2023)

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摘要
Research in the treatment of type 1 diabetes has been addressed into two main areas: the development of "intelligent insulins" capable of auto-regulating their own levels according to glucose concentrations, or the exploitation of artificial intelligence (AI) and its learning capacity, to provide decision support systems to improve automated insulin therapy. This review aims to provide a synthetic overview of the current state of these two research areas, providing an outline of the latest development in the search for "intelligent insulins," and the results of new and promising advances in the use of artificial intelligence to regulate automated insulin infusion and glucose control. The future of insulin treatment in type 1 diabetes appears promising with AI, with research nearly reaching the possibility of finally having a "closed-loop" artificial pancreas.
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关键词
intelligent insulin, artificial intelligence (AI), glucose-responsive insulin (GRI), concanavalin A (ConA), phenylboronic acid (PBA), glucose oxidase (GOx), automated insulin delivery systems, continuous glucose monitoring (CGM), machine learning (ML), deep learning (DL)
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