Agent-Based Modeling of Ductal Carcinoma in Situ: Application to Patient-Specific Breast Cancer Modeling
| Autor: | Mary E. Edgerton, Giovanna Tomaiuolo, Jahun Kim, Vittorio Cristini, Paul Macklin |
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| Přispěvatelé: | Tuan Pham, P., Macklin, J., Kim, Tomaiuolo, Giovanna, M. E., Edgerton, V., Cristini |
| Jazyk: | angličtina |
| Rok vydání: | 2009 |
| Předmět: |
In situ
Oncology medicine.medical_specialty education.field_of_study Computer science Population Computational biology Ductal carcinoma Patient specific medicine.disease Cellular automaton Data modeling Breast cancer Internal medicine medicine Cellular model skin and connective tissue diseases education |
| Zdroj: | Computational Biology ISBN: 9781441908100 |
| Popis: | Ductal carcinoma in situ (DCIS) of the breast is the most common precursor to invasive carcinoma (IC), the second-leading cause of death in women in USA. There has been great progress in modeling DCIS at both the cellular scale (e.g., using cellular automata and agent-based models) and the population scale (e.g., using partial differential equations or systems of ordinary differential equations), but these past efforts have been difficult to calibrate with patient-specific molecular and cellular measurements. We develop a biophysically justified, agent-based cellular model of DCIS that is well-suited to patient-specific calibration. The model is modular in nature and can thus be readily extended to incorporate more advanced biology. We give an example of recently developed, patient-specific calibration of the model and conduct parameter studies that generate testable biological hypotheses. |
| Databáze: | OpenAIRE |
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