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 …

Bioresponsive immunotherapeutic materials

J Han, T Sheng, Y Zhang, H Cheng, J Gao… - Advanced …, 2024 - Wiley Online Library
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 …

A computational multiscale agent-based model for simulating spatio-temporal tumour immune response to PD1 and PDL1 inhibition

C Gong, O Milberg, B Wang, P Vicini… - Journal of the …, 2017 - royalsocietypublishing.org
When the immune system responds to tumour development, patterns of immune infiltrates
emerge, highlighted by the expression of immune checkpoint-related molecules such as …

Classical mathematical models for prediction of response to chemotherapy and immunotherapy

N Ghaffari Laleh, CML Loeffler, J Grajek… - PLoS computational …, 2022 - journals.plos.org
Classical mathematical models of tumor growth have shaped our understanding of cancer
and have broad practical implications for treatment scheduling and dosage. However, even …

Mathematical modeling of cancer immunotherapy for personalized clinical translation

JD Butner, P Dogra, C Chung, R Pasqualini… - Nature computational …, 2022 - nature.com
Encouraging advances are being made in cancer immunotherapy modeling, especially in
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

S Bekisz, L Geris - Journal of Computational Science, 2020 - Elsevier
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 …

A QSP model for predicting clinical responses to monotherapy, combination and sequential therapy following CTLA-4, PD-1, and PD-L1 checkpoint blockade

O Milberg, C Gong, M Jafarnejad, IH Bartelink… - Scientific reports, 2019 - nature.com
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 …

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 …

[HTML][HTML] Treatment of evolving cancers will require dynamic decision support

MAR Strobl, J Gallaher, M Robertson-Tessi, J West… - Annals of …, 2023 - Elsevier
Highlights•Cancer is a heterogeneous and evolving disease, yet most drugs are
administered to simply give the maximum dose.•Treatment scheduling currently ignores the …

Mathematical model of tumor–immune surveillance

KJ Mahasa, R Ouifki, A Eladdadi, L de Pillis - Journal of theoretical biology, 2016 - Elsevier
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 …