E-book
New Challenges for Cancer Systems Biomedicine
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- ISBN: 9788847025714
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Physical Description:
electronic
electronic resource
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remote
XI, 398 p. online resource. - Publisher: Milano : Springer Milan : Imprint: Springer, 2012.
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Electronic resources
| 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 | ||
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| 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 | ||
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| 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. | ||
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