A Novel Approach to Multi-Compartmental Model Implementation to Achieve Metabolic Model Identifiability on Patient's CGM Data

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F22%3A43966174" target="_blank" >RIV/49777513:23520/22:43966174 - isvavai.cz</a>

Result on the web

<a href="https://www.sciencedirect.com/science/article/pii/S1877050922015848" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1877050922015848</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.procs.2022.10.127" target="_blank" >10.1016/j.procs.2022.10.127</a>

Result language

angličtina

Original language name

A Novel Approach to Multi-Compartmental Model Implementation to Achieve Metabolic Model Identifiability on Patient's CGM Data

Original language description

Diabetes is a widespread civilization disease. When developing a new treatment method, in-silico benefits the development process by reducing the need for in-vivo subjects. In-silico evaluation requires a reliable metabolic model, often created as a multi-compartmental model. A common approach to implementing a multi-compartmental model is to use a system of ordinary differential equations. This approach utilises exponential transfer functions to transfer substances among the compartments. Using other than an exponential function is complex. Therefore, we propose a novel approach based on a direct, numeric integration of separated compartments, which can be further divided into individual depots. This enables to model substance transfer as a separate process with non-exponential characteristics, e.g.; when modelling carbohydrate absorption from the gut. As another benefit, the approach obeys the law of mass conservation on both the computational and architectural levels. This is a key feature when identifying a model on data, that are not measured within a controlled, isolated environment. Moreover, we actually transform the set of equations, i.e.; computer-code functions, into a component model to reduce the total maintenance costs – readability, testing, verification and deployment. We demonstrate the proposed approach by converting the Samadi model to it and enhancing it with a non-exponential transfer function.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/EF19_073%2F0016931" target="_blank" >EF19_073/0016931: Improving the quality of the internal grant structure at UWB</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Procedia Computer Science

ISBN

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ISSN

1877-0509

e-ISSN

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Number of pages

8

Pages from-to

116-123

Publisher name

Elsevier

Place of publication

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Event location

Leuven, Belgium

Event date

Oct 26, 2022

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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