Clinical Control of Diabetes by the Artificial Pancreas

By A. Albisser, B. Leibel, T. Ewart, Z. Davidovac, Botz Ck, W. Zingg, H. Schipper, R. Gander. 1974

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

A Reinforcement Learning–Based Method for Management of Type 1 Diabetes: Exploratory Study (2019, neutral): “Albisser et al (1974) applied a data-driven approach for developing artificial pancreas based on data from only 3 patients [25].”
A Critical Assessment of Algorithms and Challenges in the Development of a Closed-Loop Artificial Pancreas (2005, unknown): “The recognition of Albisser et al. 26,27 that a non-linear algorithm would help provide an immediate response to a meal disturbance, but avoid the overshoot into a hypoglycemic range due to the delivery of too much insulin, was important.”
Glucose Sensing for Diabetes Monitoring: Recent Developments (2017, background): “first introduced in vivo continuous glucose monitoring using an artificial pancreas [48,49].”
Annals of the New York Academy of Sciences the Artificial Pancreas: Current Status and Future Prospects in the Management of Diabetes (unknown): “96 In summary, the Kowalski roadmap has the following elements: (1) verylow glucose insulin pump shut-off with the goal of reducing severe hypoglycemia exposure and hypoglycemic seizures; (2) predictive hypoglycemiaminimizing system with the goal of reducing hypoglycemia exposure below current estim”
Glucose Biosensors: An Overview of Use in Clinical Practice (2010, background): “Continuous ex vivo monitoring of blood glucose was proposed in 1974 [72], while in vivo glucose monitoring was demonstrated in 1982 [52].”