@inbook{86c49e08e47a4d98b7928d2dc9c37eab,
title = "Agent-based modeling of ductal carcinoma in situ: application to patient-specific breast cancer modeling",
abstract = "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.",
keywords = "Computational oncology, Cancer development, Breast cancer, Data modeling",
author = "Paul Macklin and Jahun Kim and Giovanna Tomaiuolo and Edgerton, {Mary E.} and Vittorio Cristini",
year = "2010",
doi = "10.1007/978-1-4419-0811-7_4",
language = "English",
isbn = "9781441908100",
series = "Applied bioinformatics and biostatistics in cancer research",
publisher = "Springer ",
number = "77(3)",
pages = "77--111",
editor = "Tuan Pham",
booktitle = "Computational biology: issues and applications in oncology",
}