Computational Biology
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
Oberwolfach Research Fellows: Research in Pairs
https://www.mfo.de/scientific-program/longer-term/oberwolfach-research-fellows
Collaborate@ICERM program
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
Winner of the Processes 2021 Best Paper Awards
“Multiscale Agent-Based and Hybrid Modeling of the Tumor Immune Microenvironment.”
By Kerri-Ann Norton, Chang Gong, Samira Jamalian and Aleksander S. Popel Processes 2019, 7(1), 37
https://www.mdpi.com/journal/processes/awards.pdf/0/pdf_164_2021_4_award.pdf
M. Ventoso and K. -A. Norton, “Simulating an Immune Response with a Combined Agent-Based Model of a Triple-Negative Breast Cancer Tumor and Vascular Network,” 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Seoul, Korea (South), 2020, pp. 1303-1310, doi: 10.1109/BIBM49941.2020.9313463.