Combination Therapy Models
Experimental and clinical evidence suggest that many single agent-based therapeutic approaches that are discussed in Chaps. 3 – 8 show an improved potency (additive or synergistic effects) when used in combination [1 , 2 , 3 , 4 , 5 ]. Such combination t
- PDF / 6,717,455 Bytes
- 267 Pages / 453.543 x 683.15 pts Page_size
- 7 Downloads / 211 Views
Regina Padmanabhan Nader Meskin Ala-Eddin Al Moustafa
Mathematical Models of Cancer and Different Therapies Unified Framework
Series in BioEngineering
The Series in Bioengineering serves as an information source for a professional audience in science and technology as well as for advanced students. It covers all applications of the physical sciences and technology to medicine and the life sciences. Its scope ranges from bioengineering, biomedical and clinical engineering to biophysics, biomechanics, biomaterials, and bioinformatics.
More information about this series at http://www.springer.com/series/10358
Regina Padmanabhan Nader Meskin Ala-Eddin Al Moustafa •
•
Mathematical Models of Cancer and Different Therapies Unified Framework
123
Regina Padmanabhan Electrical Engineering Department, College of Engineering Qatar University Doha, Qatar
Nader Meskin Electrical Engineering Department, College of Engineering Qatar University Doha, Qatar
Ala-Eddin Al Moustafa Medical Basic Science Department, College of Medicine Qatar University Doha, Qatar
ISSN 2196-8861 ISSN 2196-887X (electronic) Series in BioEngineering ISBN 978-981-15-8639-2 ISBN 978-981-15-8640-8 (eBook) https://doi.org/10.1007/978-981-15-8640-8 © Springer Nature Singapore Pte Ltd. 2021 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Singapore Pte Ltd. The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore
“Much is known but unfortunately in different heads” —(Werner Kollath, A German scientist, 1892–1970).
Preface
Accurate and reliable model representations of cancer dynamics are milestones in the field of cancer research. Mathematical modeling approaches are abundantly used in cancer research as these quantitative approaches can contribute to validate various h
Data Loading...
