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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"

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Eichenlaub, Manuel, Saccomani, M. P., Hattersley, John G. and Khovanova, Natasha (2022) Comment on “minimal and maximal models to quantitate glucose metabolism : tools to measure, to simulate and to run in silico clinical trials". Journal of Diabetes Science and Technology, 16 (5). pp. 1344-1345. doi:10.1177/19322968211053884

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Official URL: https://doi.org/10.1177/19322968211053884

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Abstract

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

Item Type: Journal Item
Subjects: Q Science > Q Science (General)
Q Science > QP Physiology
R Medicine > RA Public aspects of medicine
Divisions: Faculty of Science, Engineering and Medicine > Engineering > Engineering
Library of Congress Subject Headings (LCSH): Glucose -- Metabolism , Glucose -- Metabolism -- Mathematical models, Glucose tolerance tests
Journal or Publication Title: Journal of Diabetes Science and Technology
Publisher: Sage Publications, Inc.
ISSN: 1932-2968
Official Date: September 2022
Dates:
DateEvent
September 2022Published
25 October 2021Available
Volume: 16
Number: 5
Page Range: pp. 1344-1345
DOI: 10.1177/19322968211053884
Status: Peer Reviewed
Publication Status: Published
Reuse Statement (publisher, data, author rights): Eichenlaub M, Saccomani MP, Hattersley JG, Khovanova NA. Comment on “Minimal and Maximal Models to Quantitate Glucose Metabolism: Tools to Measure, to Simulate and to Run in Silico Clinical Trials.” Journal of Diabetes Science and Technology. October 2021. © 2021 Diabetes Technology Society. Reprinted by permission of SAGE Publications. https://doi.org/10.1177/19322968211053884
Access rights to Published version: Restricted or Subscription Access
Date of first compliant deposit: 28 October 2021
Date of first compliant Open Access: 1 November 2021
Open Access Version:
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