Metabolic Models, in Silico Trials, and Algorithms

Ali Cinar; Ananda Basu; B. Wayne Bequette; Marc D. Breton; Bruce Buckingham; Eda Cengiz; Claudio Cobelli; Eyal Dassau; Francis J. Doyle; Chiara Fabris; Andrea Facchinetti; Irl Hirsch; Roman Hovorka; Peter G. Jacobs; Boris P. Kovatchev; Chiara Dalla Man; Laurie Quinn; Jay Skyler

doi:10.1089/dia.2025.18800.ac

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Metabolic Models, in Silico Trials, and Algorithms

Journal article

Peer reviewed

Metabolic Models, in Silico Trials, and Algorithms

Ali Cinar, Ananda Basu, B. Wayne Bequette, Marc D. Breton, Bruce Buckingham, Eda Cengiz, Claudio Cobelli, Eyal Dassau, Francis J. Doyle, Chiara Fabris, …

Diabetes technology & therapeutics, Vol.27(S3), pp.S21-S32

2025-07-01

DOI: https://doi.org/10.1089/dia.2025.18800.ac

PMID: 40590749

Appears in Miller School of Medicine - Latest Publications

Abstract

artificial pancreas

digital twins

glucose control algorithms

mathematical models

simulators for in silico clinical trials

women with diabetes

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Title: Metabolic Models, in Silico Trials, and Algorithms
Creators: Ali Cinar - Illinois Institute of Technology
Ananda Basu - University of Alabama at Birmingham
B. Wayne Bequette - Rensselaer Polytechnic Institute
Marc D. Breton - University of Virginia
Bruce Buckingham - Stanford University
Eda Cengiz - University of California, San Francisco
Claudio Cobelli - University of Padua
Eyal Dassau - Harvard University
Francis J. Doyle - Brown University
Chiara Fabris - University of Virginia
Andrea Facchinetti - University of Padua
Irl Hirsch - University of Washington
Roman Hovorka - University of Cambridge
Peter G. Jacobs - Oregon Health & Science University
Boris P. Kovatchev - University of Virginia
Chiara Dalla Man - University of Padua
Laurie Quinn - University of Illinois Chicago
Jay Skyler - University of Miami
Publication Details: Diabetes technology & therapeutics, Vol.27(S3), pp.S21-S32
Academic Unit: Miller School of Medicine; Diabetes Research Institute (DRI)
Language: English
Resource Type: Journal article
PMID: 40590749
Record Identifier: 991032796032302976