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Tumor Growth Simulation Profiling

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Information Technology in Bio- and Medical Informatics (ITBAM 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9832))

Abstract

Cancer constitutes a condition and is referred to a group of numerous different diseases, that are characterized by uncontrolled cell growth. Tumors, in the broader sense, are described by abnormal cell growth and are not exclusively cancerous. The molecular basis involves a process of multiple steps and underlying signaling pathways, building up a complex biological framework. Cancer research is based on both disciplines of quantitative and life sciences which can be connected through Bioinformatics and Systems Biology. Our study aims to provide an enhanced computational model on tumor growth towards a comprehensive simulation of miscellaneous types of neoplasms. We create model profiles by considering data from selected types of tumors. Growth parameters are evaluated for integration and compared to the different disease examples.

Herein, we describe an extension to the recently presented visualization tool for tumor growth. The integration of profiles offers exemplary simulations on different types of tumors. The enhanced bio-computational simulation provides an approach to predicting tumor growth towards personalized medicine.

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Author information

Authors and Affiliations

  1. Holzinger Group, Research Unit HCI-KDD, Institute for Medical Informatics, Statistics and Documentation, Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria

    Claire Jean-Quartier, Fleur Jeanquartier, David Cemernek & Andreas Holzinger

Authors
  1. Claire Jean-Quartier
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  2. Fleur Jeanquartier
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  3. David Cemernek
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  4. Andreas Holzinger
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Corresponding author

Correspondence to Claire Jean-Quartier .

Editor information

Editors and Affiliations

  1. Institute of Informatics and Telematics , Pisa, Italy

    M. Elena Renda

  2. Czech Technical University in Prague , Prague 6, Czech Republic

    Miroslav Bursa

  3. Medical University Graz , Graz, Austria

    Andreas Holzinger

  4. San José State University , San Jose, California, USA

    Sami Khuri

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© 2016 Springer International Publishing Switzerland

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Jean-Quartier, C., Jeanquartier, F., Cemernek, D., Holzinger, A. (2016). Tumor Growth Simulation Profiling. In: Renda, M., Bursa, M., Holzinger, A., Khuri, S. (eds) Information Technology in Bio- and Medical Informatics. ITBAM 2016. Lecture Notes in Computer Science(), vol 9832. Springer, Cham. https://doi.org/10.1007/978-3-319-43949-5_16

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  • DOI: https://doi.org/10.1007/978-3-319-43949-5_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-43948-8

  • Online ISBN: 978-3-319-43949-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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