Jessica Lin

TL;DR: Reductions in mortality were observed compared with a retrospective hyperglycaemic cohort and the SPRINT protocol achieved a high level of glycaemic control on a severely ill critical cohort population.

TL;DR: The model is mathematically reformulated in terms of integrals to enable a novel method for identification of patient specific parameters and is more accurate and significantly faster computationally than commonly used non-linear, non-convex methods.

TL;DR: A comprehensive, more physiologically relevant Intensive Control Insulin-Nutrition-Glucose (ICING) model is presented and validated using data from critically ill patients, and it is confirmed that the ICING model is suitable for developing model-based insulin therapies, and capable of delivering real-time model- based TGC with a very tight prediction error range.

TL;DR: A computer vision system builds a three‐dimensional model of the vines, an artificial intelligence (AI) system decides which canes to prune, and a six degree‐of‐freedom robot arm makes the required cuts.

TL;DR: A review of TGC via new analyses of data from several clinical trials, including SPRINT, Glucontrol and a recent NICU study is provided, which provides both a review of the problem and major background factors driving it, as well as a novel model-based analysis designed to examine these dynamics from a new perspective.