Channel:  Mathematical Oncology

50 Articles

Modeling the Role of Hypoxia in Glioblastoma Growth and Recurrence Patterns
Curtin, L., Hawkins-Daarud, A., Porter, A. B., Owen, M. R., van der Zee, K. G., Swanson, K. R.
10.1101/691238 — Posted: 2020-08-22
Machine learning and mechanistic modeling for prediction of metastatic relapse in breast cancer
Nicolo, C., Perier, C., Prague, M., MacGrogan, G., Saut, O., Benzekry, S.
10.1101/634428 — Posted: 2020-03-26
Hypoxia in cancer chemo- and immunotherapy: foe or friend?
Vitos, N., Chen, S., Mathur, S., Chamseddine, I., Rejniak, K. A.
10.1101/629907 — Posted: 2019-08-04
Quantifying glioblastoma drug penetrance from experimental data
Massey, S. C., Urcuyo, J., Marin, B.-M., Sarkaria, J., Swanson, K. R.
10.1101/650184 — Posted: 2019-05-24
Heterogeneous multi-scale framework for cancer systems models and clinical applications
Ghosh, A., Radhakrishnan, R.
10.1101/633933 — Posted: 2019-05-16
Predictive modeling of co-evolving growing populations
Altrock, P. M., Ferrall-Fairbanks, M. C., Kimmel, G. J.
10.1101/633750 — Posted: 2019-05-10
Predicting patient-specific radiotherapy responses in head and neck cancer to personalize radiation dose fractionation
Enderling, H., Susassee, E., Caudell, J.
10.1101/630806 — Posted: 2019-05-07
Assessment of patient-specific efficacy of chemo- and targeted-therapies: a micropharmacology approach
Karolak, A., Huffstutler, B., Khan, Z., Rejniak, K. A.
10.1101/236653 — Posted: 2019-05-06
Modeling non-genetic dynamics of cancer cell states measured by single-cell analysis: Uncovering bifurcations that explain why treatment either kills a cancer cell or makes it resistant
Huang, S.
10.1101/574848 — Posted: 2019-03-12
Constructing predictive cancer systems biology models
Rohrs, J. A., Makaryan, S. Z., Finley, S. D.
10.1101/360800 — Posted: 2018-07-04

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