The 2019 mathematical oncology roadmap
Whether the nom de guerre is Mathematical Oncology, Computational or Systems Biology,
Theoretical Biology, Evolutionary Oncology, Bioinformatics, or simply Basic Science, there is …
Theoretical Biology, Evolutionary Oncology, Bioinformatics, or simply Basic Science, there is …
[HTML][HTML] Mathematical modeling of radiotherapy and its impact on tumor interactions with the immune system
Radiotherapy is a primary therapeutic modality widely utilized with curative intent.
Traditionally tumor response was hypothesized to be due to high levels of cell death …
Traditionally tumor response was hypothesized to be due to high levels of cell death …
Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas
We develop a methodology to create data-driven predictive digital twins for optimal risk-
aware clinical decision-making. We illustrate the methodology as an enabler for an …
aware clinical decision-making. We illustrate the methodology as an enabler for an …
[HTML][HTML] Forecasting individual patient response to radiation therapy in head and neck cancer with a dynamic carrying capacity model
Purpose: In order for radiotherapy to enter the realm of personalized medicine it will be
necessary to model and predict individual patient responses to radiotherapy. Methods and …
necessary to model and predict individual patient responses to radiotherapy. Methods and …
Integrating mathematical modeling into the roadmap for personalized adaptive radiation therapy
In current radiation oncology practice, treatment protocols are prescribed based on the
average outcomes of large clinical trials, with limited personalization and without …
average outcomes of large clinical trials, with limited personalization and without …
The roles of T cell competition and stochastic extinction events in chimeric antigen receptor T cell therapy
Chimeric antigen receptor (CAR) T cell therapy is a remarkably effective immunotherapy that
relies on in vivo expansion of engineered CAR T cells, after lymphodepletion (LD) by …
relies on in vivo expansion of engineered CAR T cells, after lymphodepletion (LD) by …
The optimal radiation dose to induce robust systemic anti-tumor immunity
J Poleszczuk, H Enderling - International journal of molecular sciences, 2018 - mdpi.com
The synergy of radiation and the immune system is currently receiving significant attention in
oncology as numerous studies have shown that cancer irradiation can induce strong anti …
oncology as numerous studies have shown that cancer irradiation can induce strong anti …
Are all models wrong?
H Enderling, O Wolkenhauer - Computational and systems …, 2021 - pmc.ncbi.nlm.nih.gov
Mathematical modeling in cancer is enjoying a rapid expansion (Brady & Enderling, 2019).
For collegial discussion across disciplines, many-if not all of us-have used the aphorism that …
For collegial discussion across disciplines, many-if not all of us-have used the aphorism that …
[HTML][HTML] Tumor-immune ecosystem dynamics define an individual Radiation Immune Score to predict pan-cancer radiocurability
Radiotherapy efficacy is the result of radiation-mediated cytotoxicity coupled with stimulation
of antitumor immune responses. We develop an in silico 3-dimensional agent-based model …
of antitumor immune responses. We develop an in silico 3-dimensional agent-based model …
Mathematical modeling of radiotherapy: impact of model selection on estimating minimum radiation dose for tumor control
Introduction Radiation therapy (RT) is one of the most common anticancer therapies. Yet,
current radiation oncology practice does not adapt RT dose for individual patients, despite …
current radiation oncology practice does not adapt RT dose for individual patients, despite …