Mathematical modeling of tumor-immune cell interactions
GE Mahlbacher, KC Reihmer, HB Frieboes - Journal of Theoretical Biology, 2019 - Elsevier
The anti-tumor activity of the immune system is increasingly recognized as critical for the
mounting of a prolonged and effective response to cancer growth and invasion, and for …
mounting of a prolonged and effective response to cancer growth and invasion, and for …
Bioresponsive immunotherapeutic materials
The human immune system is an interaction network of biological processes, and its
dysfunction is closely associated with a wide array of diseases, such as cancer, infectious …
dysfunction is closely associated with a wide array of diseases, such as cancer, infectious …
A computational multiscale agent-based model for simulating spatio-temporal tumour immune response to PD1 and PDL1 inhibition
When the immune system responds to tumour development, patterns of immune infiltrates
emerge, highlighted by the expression of immune checkpoint-related molecules such as …
emerge, highlighted by the expression of immune checkpoint-related molecules such as …
Classical mathematical models for prediction of response to chemotherapy and immunotherapy
Classical mathematical models of tumor growth have shaped our understanding of cancer
and have broad practical implications for treatment scheduling and dosage. However, even …
and have broad practical implications for treatment scheduling and dosage. However, even …
Mathematical modeling of cancer immunotherapy for personalized clinical translation
Encouraging advances are being made in cancer immunotherapy modeling, especially in
the key areas of develo** personalized treatment strategies based on individual patient …
the key areas of develo** personalized treatment strategies based on individual patient …
[HTML][HTML] Cancer modeling: From mechanistic to data-driven approaches, and from fundamental insights to clinical applications
Cancer is still one of the major causes of death worldwide. Even if its comprehension is
improving continuously, the complexity and heterogeneity of this group of diseases …
improving continuously, the complexity and heterogeneity of this group of diseases …
A QSP model for predicting clinical responses to monotherapy, combination and sequential therapy following CTLA-4, PD-1, and PD-L1 checkpoint blockade
Over the past decade, several immunotherapies have been approved for the treatment of
melanoma. The most prominent of these are the immune checkpoint inhibitors, which are …
melanoma. The most prominent of these are the immune checkpoint inhibitors, which are …
An overview of mathematical modelling in cancer research: fractional calculus as modelling tool
LC Vieira, RS Costa, D Valério - Fractal and Fractional, 2023 - mdpi.com
Cancer is a complex disease, responsible for a significant portion of global deaths. The
increasing prioritisation of know-why over know-how approaches in biological research has …
increasing prioritisation of know-why over know-how approaches in biological research has …
[HTML][HTML] Treatment of evolving cancers will require dynamic decision support
Highlights•Cancer is a heterogeneous and evolving disease, yet most drugs are
administered to simply give the maximum dose.•Treatment scheduling currently ignores the …
administered to simply give the maximum dose.•Treatment scheduling currently ignores the …
Mathematical model of tumor–immune surveillance
We present a novel mathematical model involving various immune cell populations and
tumor cell populations. The model describes how tumor cells evolve and survive the brief …
tumor cell populations. The model describes how tumor cells evolve and survive the brief …