| Part I Towards a Comprehensive Theory of Cancer Growth |
|
| Combining Game Theory and Graph Theory to Model Interactions between Cells in the Tumor Microenvironment |
|
| Growth as the Root of all Evil in Carcinomas: Synergy between pH Buffering and Anti-Angiogenesis prevents Emergence of Hallmarks of Cancer |
|
| Phase Transitions in Cancer |
|
| Part II Cancer Related Signalling Pathways |
|
| Spatio-Temporal Modelling of Intracellular Signalling Pathways: Transcription Factors, Negative Feedback Systems and Oscillations |
|
| Understanding Cell Fate Decisions by Identifying Crucial System Dynamics |
|
| Modelling Biochemical Pathways with the Calculus of Looping Sequences |
|
| Dynamic Simulations of Pathways Downstream of TGFβ, Wnt and EGF-Family Growth Factors, in Colorectal Cancer, including Mutations and Treatments with Onco-Protein Inhibitors |
|
| Part III Basic Mechanisms of Tumor Progression |
|
| Some Results on the Population Behavior of Cancer Stem Cells |
|
| Glucose Metabolism in Multicellular Spheroids, ATP Production and Effects of Acidity |
|
| Cell-Cell Interactions in Solid Tumors - the Role of Cancer Stem Cells |
|
| Hybrid Cellular Potts Model for Solid Tumor Growth |
|
| Part IV Tumor-Immune System Interplay and Immunotherapy |
|
| Computational Models as Novel Tools for Cancer Vaccines |
|
| On the Dynamics of Tumor-Immune System Interactions and Combined Chemo- and Immunotherapy |
|
| Modeling the Kinetics of the Immune Response |
|
| Part V Computational Method for Improving Chemotherapy.- Optimizing Cancer Chemotherapy: from Mathematical Theories to Clinical Treatment |
|
| A Systems Biomedicine Approach for Chronotherapeutics Optimization: Focus on the Anticancer Drug Irinotecan |
|
| Modeling the Dynamics of HCV Infected Cells to Tailor Antiviral Therapy in Clinical Practice: Can This Approach Fit for Neoplastic Cells? |
|
| Introducing Drug Transport Early in the Design of Hypoxia Selective Anticancer Agents Using a Mathematical Modelling Approach |
|
| Top-Down Multiscale Simulation of Tumor Response to Treatment in the Context of In Silico Oncology. The Notion of Oncosimulator |
|
| Challenges in the Integration of Flow Cytometry and Time-Lapse Live Cell Imaging Data Using a Cell Proliferation Model |
|
| Part I Towards a Comprehensive Theory of Cancer Growth |
|
| Combining Game Theory and Graph Theory to Model Interactions between Cells in the Tumor Microenvironment |
|
| Growth as the Root of all Evil in Carcinomas: Synergy between pH Buffering and Anti-Angiogenesis prevents Emergence of Hallmarks of Cancer |
|
| Phase Transitions in Cancer |
|
| Part II Cancer Related Signalling Pathways |
|
| Spatio-Temporal Modelling of Intracellular Signalling Pathways: Transcription Factors, Negative Feedback Systems and Oscillations |
|
