Mathematical Modeling of Cancer Growth and Treatment

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Gevertz, J. L., Greene, J. M., Prosperi, S., Comandante-Lou, N., & Sontag, E. D. (2025). Understanding therapeutic tolerance through a mathematical model of drug-induced resistance. Npj Systems Biology and Applications, 11(1). https://doi.org/10.1038/s41540-025-00511-3
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Nemzow, L., Boehringer, T., Mayenburg, J., Beaton-Green, L. A., Wilkins, R. C., & Turner, H. C. (2024). Interlaboratory comparison of high-throughput protein biomarker assay quantifications for radiation exposure classification. PLOS ONE, 19(4), e0301418. https://doi.org/10.1371/journal.pone.0301418
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Cheng, Y. L., Banu, M. A., Zhao, W., Rosenfeld, S. S., Canoll, P., & Sims, P. A. (2024). Multiplexed single-cell lineage tracing of mitotic kinesin inhibitor resistance in glioblastoma. Cell Reports, 43(5), 114139. https://doi.org/10.1016/j.celrep.2024.114139
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Halatsch, M.-E., Dwucet, A., Schmidt, C. J., Mühlnickel, J., Heiland, T., Zeiler, K., Siegelin, M. D., Kast, R. E., & Karpel-Massler, G. (2021). In Vitro and Clinical Compassionate Use Experiences with the Drug-Repurposing Approach CUSP9v3 in Glioblastoma. Pharmaceuticals, 14(12), 1241. https://doi.org/10.3390/ph14121241
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