Author

J. L. Gevertz

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cancer Biology· 5

Signature Assays, Organisms & Methods

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Approach:statistical model· 5 Research Focus:drug response / drug discovery· 4 Research Focus:host-pathogen & immune response· 1 Organism:human· 1

Frequent Co-Authors

E. D. Sontag· 2 shared J. M. Greene· 2 shared A. L. Jenner· 1 shared A. Surendran· 1 shared C. H. Chung· 1 shared C. J. Reznik· 1 shared D. Kleimeier· 1 shared E. J. Fertig· 1 shared

Activity by Year

2018-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 10 mutual co-author links

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2 shared papersCancer Biology

E. D. Sontag

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5 papers

Recent·Most cited

Cytokine storm mitigation for exogenous immune agonists

I. Kareva, J. L. Gevertz

The paper develops a mathematical model to study cytokine storm risks in immune agonist therapies and identifies optimal dosing strategies to prevent storms while maintaining treatment efficacy.

bioRxiv · Jul 7, 2023Cancer Biology

Approaches to generating virtual patient cohorts with applications in oncology

A. Surendran, J. L. Sauteur-Robitaille, D. Kleimeier, J. L. Gevertz, K. P. Wilkie, A. L. Jenner, M. Craig

This paper discusses methods for generating virtual patient cohorts in oncology to predict treatment responses and capture inter-individual variability.

bioRxiv · May 24, 2022 · PreprintCancer Biology

Using Mathematical Modeling to Distinguish Intrinsic and Acquired Targeted Therapeutic Resistance in Head and Neck Cancer

S. D. Cardenas, C. J. Reznik, R. Ranaweera, F. Song, C. H. Chung, E. J. Fertig, J. L. Gevertz

This study uses mathematical models to determine the timing and mechanism of cetuximab resistance in HNSCC using tumor volume data from xenografts.

bioRxiv · Feb 18, 2022 · PreprintCancer Biology

Validation of a Mathematical Model of Cancer Incorporating Spontaneous and Induced Evolution to Drug Resistance

J. L. Gevertz, J. M. Greene, E. D. Sontag

The paper validates a mathematical model of cancer that incorporates spontaneous and induced evolution to drug resistance using new experimental data.

bioRxiv · Dec 27, 2019 · PreprintCancer Biology

A mathematical approach to differentiate spontaneous and induced evolution to drug resistance during cancer treatment

J. M. Greene, J. L. Gevertz, E. D. Sontag

This paper develops a mathematical model to differentiate between spontaneous and drug-induced resistance in cancer treatment and proposes an in vitro protocol to assess treatment-induced resistance.

bioRxiv · Jul 27, 2018Cancer Biology