User profiles for P. Macklin
Paul MacklinAssociate Dean for Undergraduate Education - Luddy School - Indiana University Verified email at MathCancer.org Cited by 5748 |
Multiscale cancer modeling
… kinase (ERK-p) and Akt (Akt-p) in the EGF-induced signaling pathway (32, 33). Using these
models, the authors predicted that the ratio of Akt-p/ERK-p increases in mutants compared …
models, the authors predicted that the ratio of Akt-p/ERK-p increases in mutants compared …
A review of cell-based computational modeling in cancer biology
… Macklin et al 50 and Hyun and Macklin 51 applied a CBM to study oxygen-driven …
Hyun AZ, Macklin P: Improved patient-specific calibration for agent-based cancer modeling. …
Hyun AZ, Macklin P: Improved patient-specific calibration for agent-based cancer modeling. …
Artificial intelligence in digital pathology: a roadmap to routine use in clinical practice
The use of artificial intelligence will transform clinical practice over the next decade and the
early impact of this will likely be the integration of image analysis and machine learning into …
early impact of this will likely be the integration of image analysis and machine learning into …
Nonlinear modelling of cancer: bridging the gap between cells and tumours
Despite major scientific, medical and technological advances over the last few decades, a
cure for cancer remains elusive. The disease initiation is complex, and including initiation and …
cure for cancer remains elusive. The disease initiation is complex, and including initiation and …
Multiscale modelling and nonlinear simulation of vascular tumour growth
P Macklin, S McDougall, ARA Anderson… - Journal of mathematical …, 2009 - Springer
… (see the reviews listed previously and recent work by Macklin and Lowengrub [45–48]). We
… At the necrotic boundary ΣN we assume P is continuous. We assume that no voids form and …
… At the necrotic boundary ΣN we assume P is continuous. We assume that no voids form and …
[HTML][HTML] PhysiCell: An open source physics-based cell simulator for 3-D multicellular systems
…, SM Mumenthaler, P Macklin - PLoS computational …, 2018 - journals.plos.org
… with probability (26) where p is used as our surrogate marker for immunogenicity (see above),
and r kill is the rate at which adhered immune cells kill tumor cells with p = 1. If they induce …
and r kill is the rate at which adhered immune cells kill tumor cells with p = 1. If they induce …
Computer simulation of glioma growth and morphology
… tumor cells prefer to stay bonded with each other rather than being in any other configuration,
that the cell density is roughly constant and that there is only isotropic stress (pressure p), …
that the cell density is roughly constant and that there is only isotropic stress (pressure p), …
Patient-calibrated agent-based modelling of ductal carcinoma in situ (DCIS): from microscopic measurements to macroscopic predictions of clinical progression
… For simplicity, we model α P as constant for and specific to each cell type. In Macklin et al.
(2010b), we discuss how to incorporate • (ie, a cell's internal protein expression) and ○ (as …
(2010b), we discuss how to incorporate • (ie, a cell's internal protein expression) and ○ (as …
Nonlinear simulation of the effect of microenvironment on tumor growth
P Macklin, J Lowengrub - Journal of theoretical biology, 2007 - Elsevier
In this paper, we present and investigate a model for solid tumor growth that incorporates
features of the tumor microenvironment. Using analysis and nonlinear numerical simulations, …
features of the tumor microenvironment. Using analysis and nonlinear numerical simulations, …
[HTML][HTML] The cancer microbiome: distinguishing direct and indirect effects requires a systemic view
The collection of microbes that live in and on the human body – the human microbiome –
can impact on cancer initiation, progression, and response to therapy, including cancer …
can impact on cancer initiation, progression, and response to therapy, including cancer …