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Paul Macklin

Showing results (21-30 of 63) with videos related to

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Biorxiv : the Preprint Server for Biology|October 14, 2022
An agent-based modeling approach for lung fibrosis in response to COVID-19Mohammad Aminul Islam, Michael Getz, Paul Macklin, et al.
Plos Computational Biology|February 24, 2018
PhysiCell: An open source physics-based cell simulator for 3-D multicellular systemsAhmadreza Ghaffarizadeh, Randy Heiland, Samuel H Friedman, et al.
Med (New York, N.Y.)|March 25, 2022
Forecasting cancer: from precision to predictive medicineElana J Fertig, Elizabeth M Jaffee, Paul Macklin, et al.
Bulletin of Mathematical Biology|February 12, 2025
A Simple Framework for Agent-Based Modeling with Extracellular MatrixJohn Metzcar, Ben S Duggan, Brandon Fischer, et al.
NPJ Breast Cancer|September 14, 2018
Correlating nuclear morphometric patterns with estrogen receptor status in breast cancer pathologic specimensRishi R Rawat, Daniel Ruderman, Paul Macklin, et al.
Frontiers in Immunology|March 27, 2024
A review of mechanistic learning in mathematical oncologyJohn Metzcar, Catherine R Jutzeler, Paul Macklin, et al.
Briefings in Bioinformatics|October 19, 2024
Building multiscale models with PhysiBoSS, an agent-based modeling toolMarco Ruscone, Andrea Checcoli, Randy Heiland, et al.
Arxiv|July 9, 2024
Building multiscale models with PhysiBoSS, an agent-based modeling toolMarco Ruscone, Andrea Checcoli, Randy Heiland, et al.
Analytical Cellular Pathology (Amsterdam)|October 13, 2011
A novel, patient-specific mathematical pathology approach for assessment of surgical volume: application to ductal carcinoma in situ of the breastMary E Edgerton, Yao-Li Chuang, Paul Macklin, et al.
Bioinformatics (Oxford, England)|September 1, 2018
PhysiBoSS: a multi-scale agent-based modelling framework integrating physical dimension and cell signallingGaelle Letort, Arnau Montagud, Gautier Stoll, et al.
Pageof 7

Showing results (21-30 of 63) with videos related to

Sort By:
Pageof 7
Biorxiv : the Preprint Server for Biology|October 14, 2022
An agent-based modeling approach for lung fibrosis in response to COVID-19Mohammad Aminul Islam, Michael Getz, Paul Macklin, et al.
Plos Computational Biology|February 24, 2018
PhysiCell: An open source physics-based cell simulator for 3-D multicellular systemsAhmadreza Ghaffarizadeh, Randy Heiland, Samuel H Friedman, et al.
Med (New York, N.Y.)|March 25, 2022
Forecasting cancer: from precision to predictive medicineElana J Fertig, Elizabeth M Jaffee, Paul Macklin, et al.
Bulletin of Mathematical Biology|February 12, 2025
A Simple Framework for Agent-Based Modeling with Extracellular MatrixJohn Metzcar, Ben S Duggan, Brandon Fischer, et al.
NPJ Breast Cancer|September 14, 2018
Correlating nuclear morphometric patterns with estrogen receptor status in breast cancer pathologic specimensRishi R Rawat, Daniel Ruderman, Paul Macklin, et al.
Frontiers in Immunology|March 27, 2024
A review of mechanistic learning in mathematical oncologyJohn Metzcar, Catherine R Jutzeler, Paul Macklin, et al.
Briefings in Bioinformatics|October 19, 2024
Building multiscale models with PhysiBoSS, an agent-based modeling toolMarco Ruscone, Andrea Checcoli, Randy Heiland, et al.
Arxiv|July 9, 2024
Building multiscale models with PhysiBoSS, an agent-based modeling toolMarco Ruscone, Andrea Checcoli, Randy Heiland, et al.
Analytical Cellular Pathology (Amsterdam)|October 13, 2011
A novel, patient-specific mathematical pathology approach for assessment of surgical volume: application to ductal carcinoma in situ of the breastMary E Edgerton, Yao-Li Chuang, Paul Macklin, et al.
Bioinformatics (Oxford, England)|September 1, 2018
PhysiBoSS: a multi-scale agent-based modelling framework integrating physical dimension and cell signallingGaelle Letort, Arnau Montagud, Gautier Stoll, et al.
Pageof 7