Managing Complexity, Reducing Perplexity

1. Front Matter

   Pages i-xviii

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2. Mathematical Ecology of Cancer

   • Thomas Hillen, Mark A. Lewis

   Pages 1-13

3. Quantitative Approaches to Heterogeneity and Growth Variability in Cell Populations

   • Priscilla Macansantos, Vito Quaranta

   Pages 15-27

4. A Stochastic Model of Glioblastoma Invasion: The Impact of Phenotypic Switching

   • Philip Gerlee, Sven Nelander

   Pages 29-35

5. A Hybrid Model for E. coli Chemotaxis: From Signaling Pathway to Pattern Formation

   • Franziska Matthäus

   Pages 37-44

6. Multiscale Analysis and Modelling for Cancer Growth and Development

   • Dumitru Trucu, Mark A. J. Chaplain

   Pages 45-53

7. A Non-linear Flux-Limited Model for the Transport of Morphogens

   • J. Calvo, J. Soler, M. Verbeni

   Pages 55-63

8. Glycosylation: A Phenomenon Shared by All Domains of Life

   • Anne Dell, Federico Sastre

   Pages 65-70

9. Some Thoughts on the Ontogenesis in B-Cell Immune Networks

   • Elena Agliari, Adriano Barra, Silvio Franz, Thiago Pentado-Sabetta

   Pages 71-79

10. Mathematical Modeling of Cancer Cells Evolution Under Targeted Chemotherapies

    • Marcello Delitala, Tommaso Lorenzi

    Pages 81-89

11. Traveling Waves Emerging in a Diffusive Moving Filament System

    • Heinrich Freistühler, Jan Fuhrmann, Angela Stevens

    Pages 91-99

12. Homing to the Niche: A Mathematical Model Describing the Chemotactic Migration of Hematopoietic Stem Cells

    • Maria Neuss-Radu

    Pages 101-108

13. DDE Models of the Glucose-Insulin System: A Useful Tool for the Artificial Pancreas

    • Jude D. Kong, Sreedhar S. Kumar, Pasquale Palumbo

    Pages 109-117

14. Physics and Complexity: An Introduction

    • David Sherrington

    Pages 119-129

15. The Language of Systems Biology

    • Marcello Delitala, Thomas Hillen

    Pages 131-133

”Managing Complexity, Reducing Perplexity” is devoted to an overview of the status of the art in the study of complex systems, with particular focus on the analysis of systems pertaining to living matter. Both senior scientists and young researchers from diverse and prestigious institutions with a deliberately interdisciplinary cut were invited, in order to compare approaches and problems from different disciplines. The common aim of the contributions was to analyze the complexity of living systems by means of new mathematical paradigms that are more adherent to reality and which are able to generate both exploratory and predictive models that are capable of achieving a deeper insight into life science phenomena.

• Department of Mathematical Sciences, Politecnico di Torino, Torino, Italy

  Marcello Delitala

• OECD, Paris, France

  Giulia Ajmone Marsan

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