EBOOK OPTIMAL CONTROL OF DRUG ADMINISTRATION IN CANCER CHEMOTHERAPY

Autor
ISBN
9789812832542
Wydawnictwo
Cena
brak ofert
Dostępność
niedostępna
Ostatnia aktualizacja

Brak aktualnych ofert w księgarniach.

Opis


This monograph is a study of optimal control applied to cancer chemotherapy, the treatment of cancer using drugs that kill cancer cells. The aim is to determine whether current methods for the administration of chemotherapy are optimal, and if alternative regimens should be considered.The research utilizes the mathematical theory of optimal control, an active research area for many mathematicians, scientists, and engineers. It is of multidisciplinary nature, having been applied to areas ranging from engineering to biomedicine. The aim in optimal control is to achieve a given objective at minimum cost. A set of differential equations is used to describe the evolution in time of the process being modelled, and constraints limit the policies that can be used to attain the objective.In this monograph, mathematical models are used to construct optimal drug schedules. These are treatment guidelines specifying which drug to deliver, when, and at what dose. Many current drug schedules have been derived empirically, based upon “rules of thumb”.The monograph has been structured so that most of the high-level mathematics is introduced in a special appendix. In this way, a scientist can skip the more subtle aspects of the theory and still understand the biomedical applications that follow. However, the text is self-contained so that a deeper understanding of the mathematics of optimal control can be gained from the mathematical appendix.The mathematical models in this book and the associated computer simulations show that low intensity chemotherapy is a better choice of treatment than high intensity chemotherapy, under certain conditions.Contents:Basic ConceptsOptimal Control: Theory and ApplicationsControl Parametrization Technique: A Brief ReviewMultiple Characteristic Time (MCT) ConstraintsMinimize the Final Tumour SizeParameter UncertaintyForced Decrease of Tumour SizeDrug Resistance — One DrugDrug Resistance — Two DrugsSummary and ConclusionsReadership: Applied mathematicians, scientists in cancer research, optimal control, biomedical engineering, biomathematics and operations research.Key Features:Covers poverty issues from the perspectives of many disciplines (with contributors from economics, population studies, ethnic studies and history background), providing diverse views of the situation across a broad spectrum of subjects (ranging from local government officials, businessmen, farmers, herders to ordinary people)Writers tap on their experience and knowledge about Tibet to provide unique insights into Tibet's geography, history, society and culture, and to explore the effectiveness of policies in TibetPresents Tibet's economic and social developments in an accessible manner — indispensable to anyone trying to understand the development of China and its Tibetan areas