001     1043302
005     20250724210254.0
037 _ _ |a FZJ-2025-02823
041 _ _ |a English
100 1 _ |a Behle, Eric
|0 P:(DE-Juel1)188557
|b 0
|e Corresponding author
|u fzj
111 2 _ |a DPG Spring Meeting 2024
|g SKM24
|c Berlin
|d 2024-03-17 - 2024-03-22
|w Germany
245 _ _ |a Simulating tumor-induced angiogenesis using Cells in Silico
260 _ _ |c 2024
336 7 _ |a Conference Paper
|0 33
|2 EndNote
336 7 _ |a INPROCEEDINGS
|2 BibTeX
336 7 _ |a conferenceObject
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336 7 _ |a CONFERENCE_POSTER
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336 7 _ |a Output Types/Conference Poster
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336 7 _ |a Poster
|b poster
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|x After Call
520 _ _ |a Cancer remains an inadequately understood ailment affecting humanity. Its treatment poses a challenge due to tumor variability and a tumor’s impact on the surrounding environment. Tumor-induced angiogenesis is a concerning aspect of the disease. Here, a hypoxic tumor secretes growth factors, which prompts nearby blood vessel branching and successive growth toward the tumor. To study this process on a computational level, we turned to Cells in Silico (CiS), a high performance framework for large-scale tissue simulation previously developed by us. Combining a cellular Potts model and an agent-based layer, CiS is capable of simulating tissues composed of tens of millions of cells, while accurately representing many physical and biological properties. Our ultimate objective is to construct a cellular digital twin of a tumor, and integrating a realistically evolving nutrient environment is crucial. Hence, we have implemented tumor-induced blood vessel growth into CiS, and have studied the behavior of tumors placed in different environments. With this we aim to explore questions regarding hot spots for tumor growth within the body.
536 _ _ |a 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511)
|0 G:(DE-HGF)POF4-5111
|c POF4-511
|f POF IV
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536 _ _ |a PhD no Grant - Doktorand ohne besondere Förderung (PHD-NO-GRANT-20170405)
|0 G:(DE-Juel1)PHD-NO-GRANT-20170405
|c PHD-NO-GRANT-20170405
|x 1
700 1 _ |a Herold, J. M.
|0 P:(DE-HGF)0
|b 1
700 1 _ |a Schug, Alexander
|0 P:(DE-Juel1)173652
|b 2
|u fzj
856 4 _ |u https://www.dpg-verhandlungen.de/year/2024/conference/berlin/part/bp/session/21/contribution/7
909 C O |o oai:juser.fz-juelich.de:1043302
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910 1 _ |a Forschungszentrum Jülich
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913 1 _ |a DE-HGF
|b Key Technologies
|l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action
|1 G:(DE-HGF)POF4-510
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|3 G:(DE-HGF)POF4
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|v Enabling Computational- & Data-Intensive Science and Engineering
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920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)JSC-20090406
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980 _ _ |a poster
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)JSC-20090406
980 _ _ |a UNRESTRICTED


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