Biologically-informed neural networks guide mechanistic modeling from sparse experimental data von Lagergren, John H, Nardini, John T, Baker, Ruth E, Simpson, Matthew J, Flores, Kevin B

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Topological data analysis distinguishes parameter regimes in the Anderson-Chaplain model of angiogenesis von Nardini, John T, Stolz, Bernadette J, Flores, Kevin B, Harrington, Heather A, Byrne, Helen M

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Modeling keratinocyte wound healing dynamics: Cell–cell adhesion promotes sustained collective migration von Nardini, John T., Chapnick, Douglas A., Liu, Xuedong, Bortz, David M.

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Forecasting and Predicting Stochastic Agent-Based Model Data with Biologically-Informed Neural Networks von Nardini, John T.

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A tutorial review of mathematical techniques for quantifying tumor heterogeneity von Everett, Rebecca, B. Flores, Kevin, Henscheid, Nick, Lagergren, John, Larripa, Kamila, Li, Ding, T. Nardini, John, T. T. Nguyen, Phuong, Bruce Pitman, E., M. Rutter, Erica

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Learning differential equation models from stochastic agent-based model simulations von Nardini, John T, Baker, Ruth E, Simpson, Matthew J, Flores, Kevin B

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Learning partial differential equations for biological transport models from noisy spatio-temporal data von Lagergren, John H, Nardini, John T, Michael Lavigne, G, Rutter, Erica M, Flores, Kevin B

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Analyzing collective motion with machine learning and topology von Bhaskar, Dhananjay, Manhart, Angelika, Milzman, Jesse, Nardini, John T., Storey, Kathleen M., Topaz, Chad M., Ziegelmeier, Lori

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Learning Equations from Biological Data with Limited Time Samples von Nardini, John T., Lagergren, John H., Hawkins-Daarud, Andrea, Curtin, Lee, Morris, Bethan, Rutter, Erica M., Swanson, Kristin R., Flores, Kevin B.

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Statistical and topological summaries aid disease detection for segmented retinal vascular images von Nardini, John T., Pugh, Charles W. J., Byrne, Helen M.

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The influence of numerical error on parameter estimation and uncertainty quantification for advective PDE models von Nardini, John T, Bortz, D M

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INVESTIGATION OF A STRUCTURED FISHER'S EQUATION WITH APPLICATIONS IN BIOCHEMISTRY von NARDINI, JOHN T., BORTZ, D. M.

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Quantifying collective motion patterns in mesenchymal cell populations using topological data analysis and agent-based modeling von Nguyen, Kyle C., Jameson, Carter D., Baldwin, Scott A., Nardini, John T., Smith, Ralph C., Haugh, Jason M., Flores, Kevin B.

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Learning partial differential equations for biological transport models from noisy spatio-temporal data von Lagergren, John H., Nardini, John T., Lavigne, G. Michael, Rutter, Erica M., Flores, Kevin B.

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Forecasting and predicting stochastic agent-based model data with biologically-informed neural networks von Nardini, John T

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Forecasting and predicting stochastic agent-based model data with biologically-informed neural networks von Nardini, John T

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Statistical and Topological Summaries Aid Disease Detection for Segmented Retinal Vascular Images von Nardini, John T, Pugh, Charles W. J, Byrne, Helen M

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The Influence of Numerical Error on an Inverse Problem Methodology in PDE Models von Nardini, John T, Bortz, D. M

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Learning differential equation models from stochastic agent-based model simulations von Nardini, John T, Baker, Ruth E, Simpson, Matthew J, Flores, Kevin B

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Topological data analysis distinguishes parameter regimes in the Anderson-Chaplain model of angiogenesis von Nardini, John T, Stolz, Bernadette J, Flores, Kevin B, Harrington, Heather A, Byrne, Helen M

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