Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-20252
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dc.contributor.authorWeyland, Mathias S.-
dc.contributor.authorThumser-Henner, Pauline-
dc.contributor.authorNytko, Katarzyna J.-
dc.contributor.authorRohrer Bley, Carla-
dc.contributor.authorUlzega, Simone-
dc.contributor.authorPetri-Fink, Alke-
dc.contributor.authorLattuada, Marco-
dc.contributor.authorFüchslin, Rudolf Marcel-
dc.contributor.authorScheidegger, Stephan-
dc.date.accessioned2020-07-13T08:39:52Z-
dc.date.available2020-07-13T08:39:52Z-
dc.date.issued2020-09-15-
dc.identifier.issn1748-670Xde_CH
dc.identifier.issn1748-6718de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/20252-
dc.description.abstractIn this work, a method is established to calibrate a model that describes the basic dynamics of DNA damage and repair. The model can be used to extend planning for radiotherapy and hyperthermia in order to include the biological effects. In contrast to ``syntactic'' models (e.g. describing molecular kinetics), the model used here describes radiobiological semantics, resulting in a more powerful model but also in a far more challenging calibration. Model calibration is attempted from clonogenic assay data (doses of 0 -- 6 Gy) and from time-resolved comet assay data obtained within 6~h after irradiation with 6~Gy. It is demonstrated that either of those two sources of information alone is insufficient for successful model calibration, and that both sources of information combined in a holistic approach are necessary to find viable model parameters. Approximate Bayesian Computation (ABC) with simulated annealing is used for parameter search, revealing two aspects that are beneficial to resolving the calibration problem: (1) assessing posterior parameter distributions instead of point-estimates; (2) combining calibration runs from different assays by joining posterior distributions instead of running a single calibration run with a combined, computationally very expensive objective function.de_CH
dc.language.isoende_CH
dc.publisherHindawide_CH
dc.relation.ispartofComputational and Mathematical Methods in Medicinede_CH
dc.rightshttp://creativecommons.org/licenses/by/4.0/de_CH
dc.subject.ddc572: Biochemiede_CH
dc.titleHolistic view on cell survival and DNA damage : how model-based data analysis supports exploration of dynamics in biological systemsde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.departementLife Sciences und Facility Managementde_CH
zhaw.organisationalunitInstitut für Angewandte Mathematik und Physik (IAMP)de_CH
zhaw.organisationalunitInstitut für Computational Life Sciences (ICLS)de_CH
dc.identifier.doi10.1155/2020/5972594de_CH
dc.identifier.doi10.21256/zhaw-20252-
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume2020de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.funding.snf163435de_CH
zhaw.webfeedBiomedical Simulationde_CH
zhaw.funding.zhawDynamic Thermal Dosimetric Concept for Evaluating Synergistic Effect of Combined Hyperthermia-Radiotherapy (RT-HT)de_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
Appears in collections:Publikationen School of Engineering

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Weyland, M. S., Thumser-Henner, P., Nytko, K. J., Rohrer Bley, C., Ulzega, S., Petri-Fink, A., Lattuada, M., Füchslin, R. M., & Scheidegger, S. (2020). Holistic view on cell survival and DNA damage : how model-based data analysis supports exploration of dynamics in biological systems. Computational and Mathematical Methods in Medicine, 2020. https://doi.org/10.1155/2020/5972594
Weyland, M.S. et al. (2020) ‘Holistic view on cell survival and DNA damage : how model-based data analysis supports exploration of dynamics in biological systems’, Computational and Mathematical Methods in Medicine, 2020. Available at: https://doi.org/10.1155/2020/5972594.
M. S. Weyland et al., “Holistic view on cell survival and DNA damage : how model-based data analysis supports exploration of dynamics in biological systems,” Computational and Mathematical Methods in Medicine, vol. 2020, Sep. 2020, doi: 10.1155/2020/5972594.
WEYLAND, Mathias S., Pauline THUMSER-HENNER, Katarzyna J. NYTKO, Carla ROHRER BLEY, Simone ULZEGA, Alke PETRI-FINK, Marco LATTUADA, Rudolf Marcel FÜCHSLIN und Stephan SCHEIDEGGER, 2020. Holistic view on cell survival and DNA damage : how model-based data analysis supports exploration of dynamics in biological systems. Computational and Mathematical Methods in Medicine. 15 September 2020. Bd. 2020. DOI 10.1155/2020/5972594
Weyland, Mathias S., Pauline Thumser-Henner, Katarzyna J. Nytko, Carla Rohrer Bley, Simone Ulzega, Alke Petri-Fink, Marco Lattuada, Rudolf Marcel Füchslin, and Stephan Scheidegger. 2020. “Holistic View on Cell Survival and DNA Damage : How Model-Based Data Analysis Supports Exploration of Dynamics in Biological Systems.” Computational and Mathematical Methods in Medicine 2020 (September). https://doi.org/10.1155/2020/5972594.
Weyland, Mathias S., et al. “Holistic View on Cell Survival and DNA Damage : How Model-Based Data Analysis Supports Exploration of Dynamics in Biological Systems.” Computational and Mathematical Methods in Medicine, vol. 2020, Sept. 2020, https://doi.org/10.1155/2020/5972594.


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