Mathematical methods and models in biomedicine

Mathematical biomedicine is a rapidly developing interdisciplinary field of research that connects the natural and exact sciences in an attempt to respond to the modeling and simulation challenges raised by biology and medicine. There exist a large number of mathematical methods and procedures that...

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Détails bibliographiques
Auteur principal: Ledzewicz, Urszula, mathématicienne
Autres auteurs: Schättler, Heinz, 1956-...., mathématicien (Directeur de la publication), Friedman, Avner, 1932- (Directeur de la publication), Kashdan, Eugene, 19..- (Directeur de la publication)
Format: Livre numérique
Langue:Anglais
Publié: New York, NY : Springer New York 2013.
Cham : Springer Nature
Collection:Lecture Notes on Mathematical Modelling in the Life Sciences
Sujets:
Accès en ligne:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Note: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Mathematical Methods and Models in Biomedicine, Texte imprimé, 9781461441793
• Mathematical methods and models in biomedicine, Urszula Ledzewicz, Heinz Schättler, Avner Friedman... [et al.] editors, 2013, New York, Springer, 1 vol. (XI-427p.), Lecture notes on mathematical modelling in the life sciences, 978-1-461-44177-9
Table des matières:
  • Spatial aspects of HIV infection
  • Basic Principles in Modeling Adaptive Regulation and Immunodominance
  • Evolutionary Principles In Viral Epitopes
  • A Multiscale Approach Leading to Hybrid Mathematical Models for Angiogenesis: the Role of Randomness
  • Modeling Tumor Blood Vessel Dynamics
  • Influence of Blood Rheology and Outflow Boundary Conditions in Numerical Simulations of Cerebral Aneurysms
  • The Steady State of Multicellular Tumour Spheroids: a Modelling Challenge
  • Deciphering Fate Decision in Normal and Cancer Stem Cells Mathematical Models and Their Experimental Verification.
  • Data Assimilation in Brain Tumor Models
  • Optimisation of Cancer Drug Treatments Using Cell Population Dynamics
  • Tumor Development under Combination Treatments with Antiangiogenic Therapies
  • Saturable Fractal Pharmacokinetics and Its Applications
  • A MathematicalModel of Gene Therapy for the Treatment of Cancer
  • Epidemiological Models with Seasonality
  • Periodic Incidence in a Discrete-Time SIS Epidemic Model.