Author

T. Hillen

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· 7 Microbiology· 1 Physiology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 7 Research Focus:host-pathogen & immune response· 3 Research Focus:cancer & tumor microenvironment· 2 Organism:human· 2 Organism:mouse· 2 Approach:biophysical modeling· 1 Approach:deep learning· 1

Frequent Co-Authors

A. A. Baabdulla· 2 shared A. Rhodes· 2 shared G. de Vries· 2 shared O. Olobatuyi· 2 shared A. R. Rhodes· 1 shared C. Contreras· 1 shared C. Frei· 1 shared H. Now· 1 shared

Activity by Year

2016-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 6 mutual co-author links

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2 shared papersCancer Biology

A. A. Baabdulla

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Author profile →

9 papers

Recent·Most cited

Oscillations in a Spatial Oncolytic Virus Model

A. A. Baabdulla, T. Hillen

This paper analyzes spatial oscillations in an oncolytic virus model to identify conditions for tumor eradication patterns and derive invasion wave speeds.

bioRxiv · Dec 19, 2023Cancer Biology

Modelling Microtube Driven Invasion of Glioma

T. Hillen, N. Loy, K. J. Painter, R. Thiessen

The paper develops a new model for glioma invasion driven by microtubes, showing it can predict tumour expansion and relate to existing model classes.

bioRxiv · Sep 5, 2023Cancer Biology

Personalized Virus Load Curves of SARS-CoV-2 Infection

T. Hillen, C. Contreras, J. Newby

The paper was withdrawn due to submission errors and does not provide original findings.

bioRxiv · Jan 21, 2021 · PreprintPhysiology

Homogenization of a Reaction Diffusion Equation can Explain Influenza A Virus Load Data

A. A. Baabdulla, J. A. Park, H. Now, W.-J. Kim, S. Jung, J.-Y. Yoo, T. Hillen

The paper uses a reaction diffusion model to explain how spatial heterogeneity in MEF affects influenza A virus load, showing that homogenization explains observed inhomogeneities.

bioRxiv · Jan 4, 2021Microbiology

Implications of Immune-Mediated Metastatic Growth on Metastatic Dormancy, Blow-Up, Early Detection, and Treatment

A. R. Rhodes, T. Hillen

This study develops a mathematical model to explain metastatic dormancy and blow-up by incorporating immune system interactions, and proposes new treatment strategies.

bioRxiv · Oct 22, 2019Cancer Biology

A Mathematical Model for the Immune-Mediated Theory of Metastasis

A. Rhodes, T. Hillen

The paper develops a mathematical model of tumor-immune interactions to evaluate the immune-mediated theory of metastasis, finding that immune cell education explains poor immunotherapy outcomes and metastatic phenomena.

bioRxiv · Mar 1, 2019Cancer Biology

A Stochastic Model for Cancer Metastasis: Branching Stochastic Process with Settlement

C. Frei, T. Hillen, A. Rhodes

The paper introduces a stochastic model for cancer metastasis using a branching process with settlement, showing metastases spread when R0 > 1 and become extinct when R0 < 1.

bioRxiv · Mar 1, 2019Cancer Biology

Effects of G2 checkpoint dynamics on the low-dose hyper-radiosensitivity

O. Olobatuyi, G. de Vries, T. Hillen

The paper develops a mathematical model to analyze how G2 checkpoint dynamics influence low-dose hyper-radiosensitivity in cancer cells, showing a close match with experimental data.

bioRxiv · Sep 12, 2017Cancer Biology

A Reaction-Diffusion Model for Radiation-InducedBystander Effects

O. Olobatuyi, T. Hillen, G. de Vries

The paper develops a reaction-diffusion model to study radiation-induced bystander effects, confirming their role in low-dose hyper-radiosensitivity and radioresistance.

bioRxiv · Dec 15, 2016Cancer Biology