A Survey of Models for Tumor-Immune System Dynamics

Nicola Bellomo

ISBN 10: 0817639012 / ISBN 13: 9780817639013

Edité par Birkhäuser Boston, Birkhäuser Boston, 1996

A propos de cet article

Druck auf Anfrage Neuware - Printed after ordering - Mathematical Modeling and ImmunologyAn enormous amount of human effort and economic resources has been directed in this century to the fight against cancer. The purpose, of course, has been to find strategies to overcome this hard, challenging and seemingly endless struggle. We can readily imagine that even greater efforts will be required in the next century. The hope is that ultimately humanity will be successful; success will have been achieved when it is possible to activate and control the immune system in its competition against neoplastic cells. Dealing with the above-mentioned problem requires the fullest pos sible cooperation among scientists working in different fields: biology, im munology, medicine, physics and, we believe, mathematics. Certainly, bi ologists and immunologists will make the greatest contribution to the re search. However, it is now increasingly recognized that mathematics and computer science may well able to make major contributions to such prob lems. We cannot expect mathematicians alone to solve fundamental prob lems in immunology and (in particular) cancer research, but valuable sup port, however modest, can be provided by mathematicians to the research aspirations of biologists and immunologists working in this field.

N° de réf. du vendeur 9780817639013

Détails bibliographiques

• Titre: A Survey of Models for Tumor-Immune System Dynamics
• Éditeur: Birkhäuser Boston, Birkhäuser Boston
• Date de parution: 1996
• Langue: anglais
• ISBN à 10 chiffres: 0817639012
• ISBN à 13 chiffres: 9780817639013
• Reliure: Buch
• État de l'article: Neu
• Dimensions: 241 L x 160 H x 24 P (en millimètres) 241 millimètres de largeur par 160 millimètres de hauteur par 24 millimètres de profondeur
• Poids: 711 grammes

A propos de ce titre

Synopsis

Mathematical Modeling and Immunology An enormous amount of human effort and economic resources has been directed in this century to the fight against cancer. The purpose, of course, has been to find strategies to overcome this hard, challenging and seemingly endless struggle. We can readily imagine that even greater efforts will be required in the next century. The hope is that ultimately humanity will be successful; success will have been achieved when it is possible to activate and control the immune system in its competition against neoplastic cells. Dealing with the above-mentioned problem requires the fullest pos- sible cooperation among scientists working in different fields: biology, im- munology, medicine, physics and, we believe, mathematics. Certainly, bi- ologists and immunologists will make the greatest contribution to the re- search. However, it is now increasingly recognized that mathematics and computer science may well able to make major contributions to such prob- lems. We cannot expect mathematicians alone to solve fundamental prob- lems in immunology and (in particular) cancer research, but valuable sup- port, however modest, can be provided by mathematicians to the research aspirations of biologists and immunologists working in this field.