Comment on "Minimal and Maximal Models to Quantitate Glucose Metabolism: Tools to Measure, to Simulate and to Run in Silico Clinical Trials"
- PMID: 34696629
- PMCID: PMC9445327
- DOI: 10.1177/19322968211053884
Comment on "Minimal and Maximal Models to Quantitate Glucose Metabolism: Tools to Measure, to Simulate and to Run in Silico Clinical Trials"
Keywords: glucose effectiveness; insulin sensitivity; oral minimal model; structural identifiability.
Conflict of interest statement
Comment in
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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".J Diabetes Sci Technol. 2022 Sep;16(5):1346-1347. doi: 10.1177/19322968211060069. Epub 2021 Nov 29. J Diabetes Sci Technol. 2022. PMID: 34839748 Free PMC article. No abstract available.
Comment on
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Minimal and Maximal Models to Quantitate Glucose Metabolism: Tools to Measure, to Simulate and to Run in Silico Clinical Trials.J Diabetes Sci Technol. 2022 Sep;16(5):1270-1298. doi: 10.1177/19322968211015268. Epub 2021 May 25. J Diabetes Sci Technol. 2022. PMID: 34032128 Free PMC article.
References
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- Saccomani MP, Bellu G. DAISY: an efficient tool to test global identifiability. Some case studies. In: 2008 16th Mediterranean Conference on Control and Automation. Institute of Electrical and Electronics Engineers; 2008:1723-1728. doi: 10.1109/MED.2008.4602152. - DOI
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- Eichenlaub MM, Hattersley JG, Gannon MC, Nuttall FQ, Khovanova NA. Bayesian parameter estimation in the oral minimal model of glucose dynamics from non-fasting conditions using a new function of glucose appearance. Comput Meth Prog Bio. 2021;200:105911. doi: 10.1016/j.cmpb.2020.105911. - DOI - PubMed
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