Mathematical Models of Tumor-Immune System Dynamics

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Table of Contents

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Book Overview
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Chapter 1 Incorporating Asymmetric Stem Cell Division into the Roeder Model for Chronic Myeloid Leukemia
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Chapter 2 A Cellular Automata and a Partial Differential Equation Model of Tumor–Immune Dynamics and Chemotaxis
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Chapter 3 A Structured Population Model of Competition Between Cancer Cells and T Cells Under Immunotherapy
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Chapter 4 Modeling Tumor–Immune Dynamics
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Chapter 5 The Mathematics of Drug Delivery
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Chapter 6 The Role of the miR-451-AMPK Signaling Pathway in Regulation of Cell Migration and Proliferation in Glioblastoma
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Chapter 7 An Optimal Control Approach to Cancer Chemotherapy with Tumor–Immune System Interactions
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Chapter 8 Negative Feedback Regulation in Hierarchically Organized Tissues: Exploring the Dynamics of Tissue Regeneration and the Role of Feedback Escape in Tumor Development
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Chapter 9 Mathematical Models of Tumor-Immune System Dynamics
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Chapter 10 Differential Equation Techniques for Modeling a Cycle-Specific Oncolytic Virotherapeutic

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Mathematical modeling and dynamic analysis for cancer resistance incorporating persister cells

Article in Communications in Nonlinear Science and Numerical Simulation (July 2024)

Mathematical model of tumor immune microenvironment with application to the combined therapy targeting the PD-1/PD-L1 pathway and IL-10 cytokine antibody

Preprint in Research Square (March 2024)

Modeling Combination Chemo-Immunotherapy for Heterogeneous Tumors

Preprint in bioRxiv (January 2024)

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