News

1. Quantifying Uncertainty of Agent-based Model Parameters Using Explicitly Formulated Surrogate Models.
2. Agent-Based Modeling of Tumor-Immune Interactions and Therapeutics in the Tumor Microenvironment

Norton, Kerri-Ann, Daniel Bergman, Harsh Vardhan Jain, and Trachette Jackson. “Advances in surrogate modeling for biological agent-based simulations: trends, challenges, and future prospects.” Journal of Mathematical Biology 92, no. 1 (2026): 6.

Bergman, Daniel R., Kerri-Ann Norton, Harsh Vardhan Jain, and Trachette Jackson. “Connecting Agent-Based Models with High-Dimensional Parameter Spaces to Multidimensional Data Using SMoRe ParS: A Surrogate Modeling Approach.” Bulletin of mathematical biology 86, no. 1 (2024): 11.

https://link.springer.com/article/10.1007/s11538-023-01240-6

Jain, Harsh Vardhan, Kerri-Ann Norton, Bernardo Bianco Prado, and Trachette Levon Jackson. “SMoRe ParS: A Novel Methodology for Bridging Modeling Modalities and Experimental Data Applied to 3D Vascular Tumor Growth.” Frontiers in Molecular Biosciences 9: 1386.

https://www.frontiersin.org/articles/10.3389/fmolb.2022.1056461/full

Mathematical Oncology Newsletter issue 237

https://thisweekmathonco.substack.com/p/this-week-in-mathonco-237

NIH Subaward

Title: “Multiscale Computational Models Guided By Emerging Cellular Dynamics Quantification For Predicting Optimum Immune Checkpoint And Targeted Therapy Schedules. “

Giorgadze, T.; Fischel, H.; Tessier, A.; Norton, K.-A. Investigating Two Modes of Cancer-Associated Antigen Heterogeneity in an Agent-Based Model of Chimeric Antigen Receptor T-Cell Therapy. Cells 2022, 11, 3165. https://doi.org/10.3390/cells11193165

https://www.mdpi.com/2073-4409/11/19/3165

Oberwolfach Research Fellows: Research in Pairs

https://www.mfo.de/scientific-program/longer-term/oberwolfach-research-fellows

Collaborate@ICERM program

https://icerm.brown.edu/collaborate/

H. Fischel, T. Giorgadze, A. Tessier and K. -A. Norton, “Computational Modeling of Chimeric Antigen Receptor (CAR) T-Cell Therapy of a Binary Model of Antigen Receptors in Breast Cancer,” 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021, pp. 3267-3274, doi: 10.1109/BIBM52615.2021.9669393.

proceeding: https://ieeexplore.ieee.org/abstract/document/9669393

“Computational Modeling of Chimeric Antigen Receptor
(CAR) T-Cell Therapy of a Binary Model of Antigen Receptors in
Breast Cancer”

Presenter: Tina Giorgadze

Dec 9, 2021 at 9am

https://ieeebibm.org/BIBM2021/

Authors: Henning Fischel, Tina Giorgadze, Ansel Tessier, and Kerri-Ann Norton