SGABU Computational Platform as a Tool for Improved Education and Research in Multiscale Modelling

Tijana Geroski; Jelena Živković; Christian Hellmich; Themis Exarchos; Hans Van Oosterwyck; Djordje Jakovljević; Miloš Ivanović; Nenad Filipović

doi:10.1007/978-3-031-50755-7_6

SGABU Computational Platform as a Tool for Improved Education and Research in Multiscale Modelling

Tijana Geroski, Jelena Živković, Christian Hellmich, Themis Exarchos, Hans Van Oosterwyck, Djordje Jakovljević, Miloš Ivanović, Nenad Filipović

Centre for Health and Life Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

Abstract

There is a need to develop an integrated computational platform that will contain both datasets and multiscale models related to bone (modelling), cancer, cardiovascular diseases, and tissue engineering. The SGABU platform is a robust information system capable of data integration, information extraction, and knowledge exchange, with the goal of designing and developing suitable computing pipelines to give accurate and adequate biological information from the patient’s molecular to organ level. Datasets integrated into the platform are directly obtained from experimental and/or clinical studies and are mostly in tabular or image file format. Multiscale models range from models that can be described using partial or ordinary differential equations, to complex models that use finite element modelling. The majority of the SGABU platform’s simulation modules are built as Common Workflow Language workflows. This implies creating a CWL implementation on the Functional Engine Service backend and creating an acceptable User Interface. The key advantage of SGABU platform is the utilization of new, contemporary, modular, and unique technology for various levels of architecture.

Original language	English
Title of host publication	Disruptive Information Technologies for a Smart Society
Subtitle of host publication	Proceedings of the 13th International Conference on Information Society and Technology (ICIST)
Editors	Miroslav Trajanovic, Nenad Filipovic, Milan Zdravkovic
Publisher	Springer Nature
Pages	53–63
Number of pages	11
ISBN (Electronic)	9783031507557
ISBN (Print)	9783031507540
DOIs	https://doi.org/10.1007/978-3-031-50755-7_6
Publication status	Published - 1 Feb 2024
Event	13th International Conference on Information Society and Technology - Kopaonik, Serbia Duration: 12 Mar 2023 → 15 Mar 2023 https://www.eventiotic.com/eventiotic/conference/icist2023

Publication series

Name	Lecture Notes in Networks and Systems
Publisher	Springer
Volume	872
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	13th International Conference on Information Society and Technology
Abbreviated title	ICIST 2023
Country/Territory	Serbia
City	Kopaonik
Period	12/03/23 → 15/03/23
Internet address	https://www.eventiotic.com/eventiotic/conference/icist2023

Bibliographical note

Funding

This research is funded by Serbian Ministry of Education, Science, and Technological Development [451–03-68/2022–14/200107 (Faculty of Engineering, University of Kragujevac)]. This research is also supported by the project that has received funding from the European Union’s Horizon 2020 research and innovation programmes under grant agreement No 952603 (SGABU project). This article reflects only the author’s view. The Commission is not responsible for any use that may be made of the information it contains.

Keywords

computational platform
multiscale modelling
user-friendly interface
open science

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-031-50755-7_6

Cite this

Geroski, T., Živković, J., Hellmich, C., Exarchos, T., Oosterwyck, H. V., Jakovljević, D., Ivanović, M., & Filipović, N. (2024). SGABU Computational Platform as a Tool for Improved Education and Research in Multiscale Modelling. In M. Trajanovic, N. Filipovic, & M. Zdravkovic (Eds.), Disruptive Information Technologies for a Smart Society: Proceedings of the 13th International Conference on Information Society and Technology (ICIST) (pp. 53–63). (Lecture Notes in Networks and Systems; Vol. 872). Springer Nature. https://doi.org/10.1007/978-3-031-50755-7_6

SGABU Computational Platform as a Tool for Improved Education and Research in Multiscale Modelling. / Geroski, Tijana; Živković, Jelena; Hellmich, Christian et al.
Disruptive Information Technologies for a Smart Society: Proceedings of the 13th International Conference on Information Society and Technology (ICIST). ed. / Miroslav Trajanovic; Nenad Filipovic; Milan Zdravkovic. Springer Nature, 2024. p. 53–63 (Lecture Notes in Networks and Systems; Vol. 872).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

Geroski, T, Živković, J, Hellmich, C, Exarchos, T, Oosterwyck, HV, Jakovljević, D, Ivanović, M & Filipović, N 2024, SGABU Computational Platform as a Tool for Improved Education and Research in Multiscale Modelling. in M Trajanovic, N Filipovic & M Zdravkovic (eds), Disruptive Information Technologies for a Smart Society: Proceedings of the 13th International Conference on Information Society and Technology (ICIST). Lecture Notes in Networks and Systems, vol. 872, Springer Nature, pp. 53–63, 13th International Conference on Information Society and Technology , Kopaonik, Serbia, 12/03/23. https://doi.org/10.1007/978-3-031-50755-7_6

Geroski T, Živković J, Hellmich C, Exarchos T, Oosterwyck HV, Jakovljević D et al. SGABU Computational Platform as a Tool for Improved Education and Research in Multiscale Modelling. In Trajanovic M, Filipovic N, Zdravkovic M, editors, Disruptive Information Technologies for a Smart Society: Proceedings of the 13th International Conference on Information Society and Technology (ICIST). Springer Nature. 2024. p. 53–63. (Lecture Notes in Networks and Systems). Epub 2024 Jan 31. doi: 10.1007/978-3-031-50755-7_6

Geroski, Tijana ; Živković, Jelena ; Hellmich, Christian et al. / SGABU Computational Platform as a Tool for Improved Education and Research in Multiscale Modelling. Disruptive Information Technologies for a Smart Society: Proceedings of the 13th International Conference on Information Society and Technology (ICIST). editor / Miroslav Trajanovic ; Nenad Filipovic ; Milan Zdravkovic. Springer Nature, 2024. pp. 53–63 (Lecture Notes in Networks and Systems).

@inproceedings{84f36b210f1841859fc62b4c1c10903a,

title = "SGABU Computational Platform as a Tool for Improved Education and Research in Multiscale Modelling",

abstract = "There is a need to develop an integrated computational platform that will contain both datasets and multiscale models related to bone (modelling), cancer, cardiovascular diseases, and tissue engineering. The SGABU platform is a robust information system capable of data integration, information extraction, and knowledge exchange, with the goal of designing and developing suitable computing pipelines to give accurate and adequate biological information from the patient{\textquoteright}s molecular to organ level. Datasets integrated into the platform are directly obtained from experimental and/or clinical studies and are mostly in tabular or image file format. Multiscale models range from models that can be described using partial or ordinary differential equations, to complex models that use finite element modelling. The majority of the SGABU platform{\textquoteright}s simulation modules are built as Common Workflow Language workflows. This implies creating a CWL implementation on the Functional Engine Service backend and creating an acceptable User Interface. The key advantage of SGABU platform is the utilization of new, contemporary, modular, and unique technology for various levels of architecture.",

keywords = "computational platform, multiscale modelling, user-friendly interface, open science",

author = "Tijana Geroski and Jelena {\v Z}ivkovi{\'c} and Christian Hellmich and Themis Exarchos and Oosterwyck, \{Hans Van\} and Djordje Jakovljevi{\'c} and Milo{\v s} Ivanovi{\'c} and Nenad Filipovi{\'c}",

note = "{\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024; 13th International Conference on Information Society and Technology , ICIST 2023 ; Conference date: 12-03-2023 Through 15-03-2023",

year = "2024",

month = feb,

day = "1",

doi = "10.1007/978-3-031-50755-7\_6",

language = "English",

isbn = "9783031507540",

series = "Lecture Notes in Networks and Systems",

publisher = "Springer Nature",

pages = " 53–63",

editor = "Trajanovic, \{Miroslav \} and Filipovic, \{Nenad \} and Zdravkovic, \{Milan \}",

booktitle = "Disruptive Information Technologies for a Smart Society",

address = "United Kingdom",

url = "https://www.eventiotic.com/eventiotic/conference/icist2023",

}

TY - GEN

T1 - SGABU Computational Platform as a Tool for Improved Education and Research in Multiscale Modelling

AU - Geroski, Tijana

AU - Živković, Jelena

AU - Hellmich, Christian

AU - Exarchos, Themis

AU - Oosterwyck, Hans Van

AU - Jakovljević, Djordje

AU - Ivanović, Miloš

AU - Filipović, Nenad

PY - 2024/2/1

Y1 - 2024/2/1

N2 - There is a need to develop an integrated computational platform that will contain both datasets and multiscale models related to bone (modelling), cancer, cardiovascular diseases, and tissue engineering. The SGABU platform is a robust information system capable of data integration, information extraction, and knowledge exchange, with the goal of designing and developing suitable computing pipelines to give accurate and adequate biological information from the patient’s molecular to organ level. Datasets integrated into the platform are directly obtained from experimental and/or clinical studies and are mostly in tabular or image file format. Multiscale models range from models that can be described using partial or ordinary differential equations, to complex models that use finite element modelling. The majority of the SGABU platform’s simulation modules are built as Common Workflow Language workflows. This implies creating a CWL implementation on the Functional Engine Service backend and creating an acceptable User Interface. The key advantage of SGABU platform is the utilization of new, contemporary, modular, and unique technology for various levels of architecture.

AB - There is a need to develop an integrated computational platform that will contain both datasets and multiscale models related to bone (modelling), cancer, cardiovascular diseases, and tissue engineering. The SGABU platform is a robust information system capable of data integration, information extraction, and knowledge exchange, with the goal of designing and developing suitable computing pipelines to give accurate and adequate biological information from the patient’s molecular to organ level. Datasets integrated into the platform are directly obtained from experimental and/or clinical studies and are mostly in tabular or image file format. Multiscale models range from models that can be described using partial or ordinary differential equations, to complex models that use finite element modelling. The majority of the SGABU platform’s simulation modules are built as Common Workflow Language workflows. This implies creating a CWL implementation on the Functional Engine Service backend and creating an acceptable User Interface. The key advantage of SGABU platform is the utilization of new, contemporary, modular, and unique technology for various levels of architecture.

KW - computational platform

KW - multiscale modelling

KW - user-friendly interface

KW - open science

UR - https://doi.org/10.1007/978-3-031-50755-7_6

U2 - 10.1007/978-3-031-50755-7_6

DO - 10.1007/978-3-031-50755-7_6

M3 - Conference proceeding

SN - 9783031507540

T3 - Lecture Notes in Networks and Systems

SP - 53

EP - 63

BT - Disruptive Information Technologies for a Smart Society

A2 - Trajanovic, Miroslav

A2 - Filipovic, Nenad

A2 - Zdravkovic, Milan

PB - Springer Nature

T2 - 13th International Conference on Information Society and Technology

Y2 - 12 March 2023 through 15 March 2023

ER -

SGABU Computational Platform as a Tool for Improved Education and Research in Multiscale Modelling

Abstract

Publication series

Conference

Bibliographical note

Funding

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this