Optimal Temperature Protocols for Liver Machine Perfusion Using a Monte Carlo Method

Angelo Lucia; Korkut Uygun

doi:10.1016/j.ifacol.2023.01.011

Optimal Temperature Protocols for Liver Machine Perfusion Using a Monte Carlo Method

Angelo Lucia, Korkut Uygun

Advanced Technologies for Preservation of Biological Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

Abstract

Monte Carlo simulation with a novel acceptance procedure is used to find optimal temperature profiles for liver machine perfusion. Numerical results for MC simulation are compared to a greedy approach and to current practice in machine perfusion research. Results show that the proposed Monte Carlo simulation approach finds optimal temperature profiles that agree with current clinical research practice.

Original language	English (US)
Title of host publication	IFAC-PapersOnLine
Editors	Maria Klapa, Daniel P. Howsmon, Ioannis P. Androulakis
Publisher	Elsevier B.V.
Pages	35-40
Number of pages	6
Edition	23
ISBN (Electronic)	9781713867890
DOIs	https://doi.org/10.1016/j.ifacol.2023.01.011
State	Published - Sep 1 2022
Event	9th IFAC Conference on Foundations of Systems Biology in Engineering, FOSBE 2022 - Cambridge, United States Duration: Aug 28 2022 → Aug 31 2022

Publication series

Name	IFAC-PapersOnLine
Number	23
Volume	55
ISSN (Electronic)	2405-8963

Conference

Conference	9th IFAC Conference on Foundations of Systems Biology in Engineering, FOSBE 2022
Country/Territory	United States
City	Cambridge
Period	8/28/22 → 8/31/22

Bibliographical note

Publisher Copyright:
Copyright © 2022 The Authors.

Keywords

liver metabolism
machine perfusion
Monte Carlo simulation
Nash Equilibrium modeling
optimal temperature protocols

Publisher link

10.1016/j.ifacol.2023.01.011

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Cite this

Lucia, A & Uygun, K 2022, Optimal Temperature Protocols for Liver Machine Perfusion Using a Monte Carlo Method. in M Klapa, DP Howsmon & IP Androulakis (eds), IFAC-PapersOnLine. 23 edn, IFAC-PapersOnLine, no. 23, vol. 55, Elsevier B.V., pp. 35-40, 9th IFAC Conference on Foundations of Systems Biology in Engineering, FOSBE 2022, Cambridge, United States, 8/28/22. https://doi.org/10.1016/j.ifacol.2023.01.011

@inproceedings{69a68d8e395b41e98c011dd9bb52af35,

title = "Optimal Temperature Protocols for Liver Machine Perfusion Using a Monte Carlo Method",

abstract = "Monte Carlo simulation with a novel acceptance procedure is used to find optimal temperature profiles for liver machine perfusion. Numerical results for MC simulation are compared to a greedy approach and to current practice in machine perfusion research. Results show that the proposed Monte Carlo simulation approach finds optimal temperature profiles that agree with current clinical research practice.",

keywords = "liver metabolism, machine perfusion, Monte Carlo simulation, Nash Equilibrium modeling, optimal temperature protocols",

author = "Angelo Lucia and Korkut Uygun",

note = "Publisher Copyright: Copyright {\textcopyright} 2022 The Authors.; 9th IFAC Conference on Foundations of Systems Biology in Engineering, FOSBE 2022 ; Conference date: 28-08-2022 Through 31-08-2022",

year = "2022",

month = sep,

day = "1",

doi = "10.1016/j.ifacol.2023.01.011",

language = "English (US)",

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publisher = "Elsevier B.V.",

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T1 - Optimal Temperature Protocols for Liver Machine Perfusion Using a Monte Carlo Method

AU - Lucia, Angelo

AU - Uygun, Korkut

PY - 2022/9/1

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N2 - Monte Carlo simulation with a novel acceptance procedure is used to find optimal temperature profiles for liver machine perfusion. Numerical results for MC simulation are compared to a greedy approach and to current practice in machine perfusion research. Results show that the proposed Monte Carlo simulation approach finds optimal temperature profiles that agree with current clinical research practice.

AB - Monte Carlo simulation with a novel acceptance procedure is used to find optimal temperature profiles for liver machine perfusion. Numerical results for MC simulation are compared to a greedy approach and to current practice in machine perfusion research. Results show that the proposed Monte Carlo simulation approach finds optimal temperature profiles that agree with current clinical research practice.

KW - liver metabolism

KW - machine perfusion

KW - Monte Carlo simulation

KW - Nash Equilibrium modeling

KW - optimal temperature protocols

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U2 - 10.1016/j.ifacol.2023.01.011

DO - 10.1016/j.ifacol.2023.01.011

M3 - Conference contribution

AN - SCOPUS:85161981239

T3 - IFAC-PapersOnLine

SP - 35

EP - 40

BT - IFAC-PapersOnLine

A2 - Klapa, Maria

A2 - Howsmon, Daniel P.

A2 - Androulakis, Ioannis P.

PB - Elsevier B.V.

T2 - 9th IFAC Conference on Foundations of Systems Biology in Engineering, FOSBE 2022

Y2 - 28 August 2022 through 31 August 2022

ER -

Optimal Temperature Protocols for Liver Machine Perfusion Using a Monte Carlo Method

Abstract

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Conference

Bibliographical note

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Publisher link

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ATP-Bio: NSF Engineering Research Center for Advanced Technologies for the Preservation of Biological Systems (ATP-Bio)

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Optimal Temperature Protocols for Liver Machine Perfusion Using a Monte Carlo Method

Abstract

Publication series

Conference

Bibliographical note

Keywords

Publisher link

Find It

Other files and links

Fingerprint

Projects

ATP-Bio: NSF Engineering Research Center for Advanced Technologies for the Preservation of Biological Systems (ATP-Bio)

Cite this