Publications (in reverse chronological order)

Journal Articles

1. A. Hyun and P. Macklin. Improved patient-specific calibration for agent-based cancer modeling. J. Theor. Biol. 317:422-4, 2013. DOI: 10.1016/j.jtbi.2012.10.017.
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2. G. D'Antonio, P. Macklin, and L. Preziosi. An agent-based model for elasto-plastic mechanical interactions between cells, basement membrane and extracellular matrix. Math. Biosci. Eng. 10(1):75-101, 2013. DOI: 10.3934/mbe.2013.10.75.
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3. P. Macklin, M.E. Edgerton, A.M. Thompson, and V. Cristini. Patient-calibrated agent-based modelling of ductal carcinoma in situ (DCIS): From microscopic measurements to macroscopic predictions of clinical progression. J. Theor. Biol. 301:122-40, 2012. DOI: 10.1016/j.jtbi.2012.02.002.
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4. H. Hatzikirou, A. Chauviere, A.L. Bauer, A. Leier, M.T. Lewis, P. Macklin, T.T. Marquez-Lago, E.L. Bearer, and V. Cristini. Integrative physical oncology. WIREs Syst. Biol. Med. 4(1):1-14, 2012 (invited author: V. Cristini). DOI: 10.1002/wsbm.158.
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5. M.E. Edgerton, Y.-L. Chuang, P. Macklin, W. Yang, E.L. Bearer, and V. Cristini. A novel, patient-specific mathematical pathology approach for assessment of surgical volume: Application to ductal carcinoma in situ of the breast. Anal. Cell. Pathol. 34(5):247-63, 2011. DOI: 10.3233/ACP-2011-0019.
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6. T.S. Deisboeck, Z. Wang, P. Macklin, and V. Cristini. Multiscale Cancer Modeling. Annu. Rev. Biomed. Eng. 13:127-155, 2011 (invited author: T.S. Deisboeck). DOI: 10.1146/ANNUREV-BIOENG-071910-124729.
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7. J. Lowengrub, H.B. Frieboes, F. Jin, Y.-L. Chuang, X. Li, P. Macklin, S.M. Wise, and V. Cristini. Nonlinear modeling of cancer: Bridging the gap between cells and tumors. Nonlinearity 23(1):R1-R91, 2010 (invited author: J. Lowengrub). DOI: 10.1088/0951-7715/23/1/R01.
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8. P. Macklin, S.R. McDougall, A.R.A. Anderson, M.A.J. Chaplain, V. Cristini, and J.S. Lowengrub. Multiscale modelling and nonlinear simulation of vascular tumour growth. J. Math. Biol. 58(4-5):765-798, 2009. DOI: 10.1007/s00285-008-0216-9.
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9. P. Macklin and J.S. Lowengrub. A New Ghost Cell/Level Set Method for Moving Boundary Problems: Application to Tumor Growth. J. Sci. Comput. 35(2-3):266-299, 2008 (invited author: J.S. Lowengrub). DOI: 10.1007/s10915-008-9190-z.
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10. H.B. Frieboes, J.S. Lowengrub, S.M. Wise, X. Zheng, P. Macklin, E.L. Bearer, and V. Cristini. Computer Simulation of Glioma Growth and Morphology. NeuroImage 37:S59-S70, 2007. DOI: 10.1016/j.neuroimage.2007.03.008.
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11. P. Macklin and J.S. Lowengrub. Nonlinear simulation of the effect of microenvironment on tumor growth. J. Theor. Biol. 245(4):677-704, 2007. DOI: 10.1016/j.jtbi.2006.12.004.
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12. P. Macklin and J.S. Lowengrub. An improved geometry-aware curvature discretization for level set methods: application to tumor growth. J. Comput. Phys. 215(2):392-401, 2006. DOI: 10.1016/j.jcp.2005.11.016.
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13. P. Macklin and J.S. Lowengrub. Evolving interfaces via gradients of geometry-dependent interior Poisson problems: application to tumor growth. J. Comput. Phys. 203(1):191-220, 2005. DOI: 10.1016/j.jcp.2004.08.010.
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Book Chapters

1. P. Macklin, S. Mumenthaler, and J. Lowengrub. "Modeling multiscale necrotic and calcified tissue biomechanics in cancer patients: application to ductal carcinoma in situ (DCIS)". In: A. Gefen (ed.), Multiscale Computer Modeling in Biomechanics and Biomedical Engineering, chap. 13, pp. 349-80, Springer, Berlin, Germany, 2013. ISBN: 9783642364815. (invited author: P. Macklin). DOI: 10.1007/8415_2012_150.
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2. P. Macklin, M.E. Edgerton, and V. Cristini. "Agent-based cell modeling: application to breast cancer". In: V. Cristini and J.S. Lowengrub, Multiscale Modeling of Cancer: An Integrated Experimental and Mathematical Modeling Approach, chap. 10, pp. 206-234, Cambridge University Press, Cambridge, UK, 2010. ISBN: 9780521884426. (invited author: P. Macklin). DOI: 10.1017/CBO9780511781452.011.
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3. P. Macklin, M.E. Edgerton, J.S. Lowengrub, and V. Cristini. "Discrete cell modeling". In: V. Cristini and J.S. Lowengrub, Multiscale Modeling of Cancer: An Integrated Experimental and Mathematical Modeling Approach, chap. 6, pp. 88-122, Cambridge University Press, Cambridge, UK, 2010. ISBN: 9780521884426. (invited author: P. Macklin). DOI: 10.1017/CBO9780511781452.007.
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4. P. Macklin. "Biological background". In: V. Cristini and J.S. Lowengrub, Multiscale Modeling of Cancer: An Integrated Experimental and Mathematical Modeling Approach, chap. 2, pp. 8-23, Cambridge University Press, Cambridge, UK, 2010. ISBN: 9780521884426. (invited author: P. Macklin). DOI: 10.1017/CBO9780511781452.003.
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5. P. Macklin, J. Kim, G. Tomaiuolo, M.E. Edgerton, and V. Cristini. "Agent-Based Modeling of Ductal Carcinoma in Situ: Application to Patient-Specific Breast Cancer Modeling". In: T. Pham (ed.), Computational Biology: Issues and Applications in Oncology, chap. 4, pp. 77-111, Springer, New York, NY USA, 2009. ISBN: 9781441908100. (invited author: P. Macklin). DOI: 10.1007/978-1-4419-0811-7_4.
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6. V. Cristini, H.B. Frieboes, X. Li, J.S. Lowengrub, P. Macklin, S. Sanga, S.M. Wise, and X. Zheng. "Nonlinear modeling and simulation of tumor growth". In: N. Bellomo, M.A.J. Chaplain, and E. de Angelis (eds.), Selected topics in cancer modeling: Genesis, evolution, immune competition, and therapy. Modelling and Simulation in Science, Engineering, and Technology, chap. 6, pp. 113-82, Birkhäuser, Boston, MA USA, 2008. ISBN: 9780817647124. (invited author: V. Cristini). DOI: 10.1007/978-0-8176-4713-1.
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Preprints (Works in Review)

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Peer-Reviewed Abstracts

1. P. Macklin, S. Mumenthaler, L.B. Jordan, C.A. Purdie, A.J. Evans, D.B. Agus, and A.M. Thompson, Integration of Pathology, Radiology, and in vitro Data in Patient-Calibrated Cancer Simulations: Recent Advances and Future Outlook for Ductal Carcinoma In Situ (DCIS), Annual Meeting for the Society of Mathematical Biology, Mini-symposium 12: Bridging mathematical models and experiments. (2012, submitted)
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2. P. Macklin, M.E. Edgerton, A.J. Evans, C.A. Purdie, L.B. Jordan, A.M. Thompson, and V. Cristini, Patient-calibrated modeling of ductal carcinoma in situ (DCIS): From microscopic measurements to macroscopic predictions of clinical progression, Second Annual National Cancer Institute Physical Science-Oncology Centers (NCI PS-OCs) Network Investigators' Meeting, ``Determining if there is and/or defining a fundamental equation of cancer'' session. (2011)
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3. P. Macklin, M.E. Edgerton, V. Cristini, L.B. Jordan, C.A. Purdie, A.J. Evans, and A.M. Thompson, An illustration of patient-specific cancer modelling: from microscopic data to macroscopic, quantitative predictions, 8th European Conference on Mathematical and Theoretical Biology / Annual Meeting of the Society for Mathematical Biology (ECMTB/SMB), Mini-symposium 9: Multiscale modeling of biological systems: From Physical Tools to Applications in Tumor Growth Modeling--I. (2011)
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4. P. Macklin, M.E. Edgerton, V. Cristini, L.B. Jordan, C.A. Purdie, A.J. Evans, and A.M. Thompson, Mechanistic cell-scale modelling of ductal carcinoma in situ (DCIS): impact of biomechanics in comedonecrosis, 8th European Conference on Mathematical and Theoretical Biology / Annual Meeting of the Society for Mathematical Biology (ECMTB/SMB), Mini-symposium 74: Mechanical Models of Movement and Growth of Cells and Tissues--I. (2011)
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5. A. Kumar, Y.-L. Chuang, P. Macklin, S. Sanga, J. Kim, G. Tomaiuolo, V. Cristini, and M.E. Edgerton, A model to predict the proliferation index of ductal carcinoma in situ, AACR Meeting Abstracts Online 2009 Abstract 2444, 2009.
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6. M.E. Edgerton, Y.-L. Chuang, P. Macklin, J. Kim, G. Tomaiuolo, A.D. Broom, S. Sanga, and V. Cristini, Simulation of growth of DCIS parameterized from IHC, Modern. Pathol. 22 (Suppl. 1):37A-38A, Abstract 157, 2009.
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7. M.E. Edgerton, Y.-L. Chuang, P. Macklin, S. Sanga, J. Kim, G. Tomaiuolo, W. Yang, A.D. Broom, K.-A. Do, and V. Cristini, Using Mathematical Models to Understand the Time Dependence of the Growth of Ductal Carcinoma in Situ, Canc. Res. 69 (Suppl. 2):Abstract 1165, 2009.
   Abstract

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Theses

1. P. Macklin, Toward Computational Oncology: Nonlinear Simulation of Centimeter-Scale Tumor Growth in Complex, Heterogeneous Tissues, Ph.D. Dissertation, University of California, Irvine Department of Mathematics, 2007.
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2. P. Macklin, Nonlinear Simulation of Tumor Growth and Chemotherapy, M.S. Thesis, University of Minnesota School of Mathematics, 2003.
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3. P. Macklin, Analysis of an Explicit Finite Difference Scheme for a Groundwater Flow Problem, Undergraduate Honors Thesis, University of Nebraska-Lincoln Honors Program, 1999.

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Works in Preparation

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