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Comment on "Minimal and Maximal Models to Quantitate Glucose Metabolism: Tools to Measure, to Simulate and to Run in Silico Clinical Trials".关于“定量葡萄糖代谢的最小和最大模型:用于测量、模拟和进行计算机模拟临床试验的工具”的评论
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Response to Comment on "Minimal and Maximal Models to Quantitate Glucose Metabolism: Tools to Measure, to Simulate and to Run in Silico Clinical Trials".对《定量葡萄糖代谢的最小和最大模型:用于测量、模拟和进行计算机临床试验的工具》评论的回应
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Minimal and Maximal Models to Quantitate Glucose Metabolism: Tools to Measure, to Simulate and to Run in Silico Clinical Trials.最小和最大模型量化葡萄糖代谢:用于测量、模拟和进行临床前临床试验的工具。
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引用本文的文献

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Response to Comment on "Minimal and Maximal Models to Quantitate Glucose Metabolism: Tools to Measure, to Simulate and to Run in Silico Clinical Trials".对《定量葡萄糖代谢的最小和最大模型:用于测量、模拟和进行计算机临床试验的工具》评论的回应
J Diabetes Sci Technol. 2022 Sep;16(5):1346-1347. doi: 10.1177/19322968211060069. Epub 2021 Nov 29.

本文引用的文献

1
Minimal and Maximal Models to Quantitate Glucose Metabolism: Tools to Measure, to Simulate and to Run in Silico Clinical Trials.最小和最大模型量化葡萄糖代谢:用于测量、模拟和进行临床前临床试验的工具。
J Diabetes Sci Technol. 2022 Sep;16(5):1270-1298. doi: 10.1177/19322968211015268. Epub 2021 May 25.
2
Bayesian parameter estimation in the oral minimal model of glucose dynamics from non-fasting conditions using a new function of glucose appearance.使用葡萄糖出现新函数,在非空腹条件下的口服葡萄糖动力学最小模型中进行贝叶斯参数估计。
Comput Methods Programs Biomed. 2021 Mar;200:105911. doi: 10.1016/j.cmpb.2020.105911. Epub 2020 Dec 22.
3
Advancing our understanding of the glucose system via modeling: a perspective.通过建模增进我们对葡萄糖系统的理解:一种观点。
IEEE Trans Biomed Eng. 2014 May;61(5):1577-92. doi: 10.1109/TBME.2014.2310514.
4
The oral minimal model method.口腔最小模型法。
Diabetes. 2014 Apr;63(4):1203-13. doi: 10.2337/db13-1198.
5
The oral glucose minimal model: estimation of insulin sensitivity from a meal test.口服葡萄糖最小模型:通过进餐试验评估胰岛素敏感性
IEEE Trans Biomed Eng. 2002 May;49(5):419-29. doi: 10.1109/10.995680.

Comment on "Minimal and Maximal Models to Quantitate Glucose Metabolism: Tools to Measure, to Simulate and to Run in Silico Clinical Trials".

作者信息

Eichenlaub Manuel, Saccomani M P, Hattersley John G, Khovanova Natasha A

机构信息

Institut für Diabetes-Technologie, Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany.

Department of Information Engineering, University of Padua, Padua, Italy.

出版信息

J Diabetes Sci Technol. 2022 Sep;16(5):1344-1345. doi: 10.1177/19322968211053884. Epub 2021 Oct 25.

DOI:10.1177/19322968211053884
PMID:34696629
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9445327/
Abstract
摘要