Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Download Advances In Mathematical And Computational Oncology Volume Iii full books in PDF, epub, and Kindle. Read online Advances In Mathematical And Computational Oncology Volume Iii ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author : George Bebis
Publisher : Frontiers Media SA
ISBN 13 : 2832536646
Total Pages : 374 pages
Book Rating : 4.8/5 (325 download)
Download or read book Advances in mathematical and computational oncology, volume III written by George Bebis and published by Frontiers Media SA. This book was released on 2023-10-25 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : George Bebis
Publisher : Frontiers Media SA
ISBN 13 : 2889764133
Total Pages : 179 pages
Book Rating : 4.8/5 (897 download)
Download or read book Advances in Mathematical and Computational Oncology, Volume II written by George Bebis and published by Frontiers Media SA. This book was released on 2022-06-27 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Doron Levy
Publisher : Frontiers Media SA
ISBN 13 : 2889741788
Total Pages : 337 pages
Book Rating : 4.8/5 (897 download)
Download or read book Advances in Mathematical and Computational Oncology written by Doron Levy and published by Frontiers Media SA. This book was released on 2022-05-05 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : George Bebis
Publisher : Springer Nature
ISBN 13 : 3030912418
Total Pages : 91 pages
Book Rating : 4.0/5 (39 download)
Download or read book Mathematical and Computational Oncology written by George Bebis and published by Springer Nature. This book was released on 2021-12-11 with total page 91 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third International Symposium on Mathematical and Computational Oncology, ISMCO 2021, held in October 2021. Due to COVID-19 pandemic the conference was held virtually. The 3 full papers and 4 short papers presented were carefully reviewed and selected from 20 submissions. The papers are organized in topical sections named: statistical and machine learning methods for cancer research; mathematical modeling for cancer research; spatio-temporal tumor modeling and simulation; general cancer computational biology; mathematical modeling for cancer research; computational methods for anticancer drug development.
Author : George Bebis
Publisher :
ISBN 13 : 9783030912420
Total Pages : 0 pages
Book Rating : 4.9/5 (124 download)
Download or read book Mathematical and Computational Oncology written by George Bebis and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third International Symposium on Mathematical and Computational Oncology, ISMCO 2021, held in October 2021. Due to COVID-19 pandemic the conference was held virtually. The 3 full papers and 4 short papers presented were carefully reviewed and selected from 20 submissions. The papers are organized in topical sections named: statistical and machine learning methods for cancer research; mathematical modeling for cancer research; spatio-temporal tumor modeling and simulation; general cancer computational biology; mathematical modeling for cancer research; computational methods for anticancer drug development.
Author : George Bebis
Publisher : Springer Nature
ISBN 13 : 3030645118
Total Pages : 133 pages
Book Rating : 4.0/5 (36 download)
Download or read book Mathematical and Computational Oncology written by George Bebis and published by Springer Nature. This book was released on 2020-12-07 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second International Symposium on Mathematical and Computational Oncology, ISMCO 2020, which was supposed to be held in San Diego, CA, USA, in October 2020, but was instead held virtually due to the COVID-19 pandemic. The 6 full papers and 4 short papers presented together with 1 invited talk were carefully reviewed and selected from 28 submissions. The papers are organized in topical sections named: statistical and machine learning methods for cancer research; mathematical modeling for cancer research; general cancer computational biology; and posters.
Author : George Bebis
Publisher : Springer Nature
ISBN 13 : 3030352102
Total Pages : 99 pages
Book Rating : 4.0/5 (33 download)
Download or read book Mathematical and Computational Oncology written by George Bebis and published by Springer Nature. This book was released on 2019-11-14 with total page 99 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First International Symposium on Mathematical and Computational Oncology, ISMCO'2019, held in Lake Tahoe, NV, USA, in October 2019. The 7 full papers presented were carefully reviewed and selected from 30 submissions. The papers are organized in topical sections named: Tumor evolvability and intra-tumor heterogeneity; Imaging and scientific visualization for cancer research; Statistical methods and data mining for cancer research (SMDM); Spatio-temporal tumor modeling and simulation (STTMS).
Author : Yang Kuang
Publisher : CRC Press
ISBN 13 : 1315361981
Total Pages : 472 pages
Book Rating : 4.3/5 (153 download)
Download or read book Introduction to Mathematical Oncology written by Yang Kuang and published by CRC Press. This book was released on 2018-09-03 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Mathematical Oncology presents biologically well-motivated and mathematically tractable models that facilitate both a deep understanding of cancer biology and better cancer treatment designs. It covers the medical and biological background of the diseases, modeling issues, and existing methods and their limitations. The authors introduce mathematical and programming tools, along with analytical and numerical studies of the models. They also develop new mathematical tools and look to future improvements on dynamical models. After introducing the general theory of medicine and exploring how mathematics can be essential in its understanding, the text describes well-known, practical, and insightful mathematical models of avascular tumor growth and mathematically tractable treatment models based on ordinary differential equations. It continues the topic of avascular tumor growth in the context of partial differential equation models by incorporating the spatial structure and physiological structure, such as cell size. The book then focuses on the recent active multi-scale modeling efforts on prostate cancer growth and treatment dynamics. It also examines more mechanistically formulated models, including cell quota-based population growth models, with applications to real tumors and validation using clinical data. The remainder of the text presents abundant additional historical, biological, and medical background materials for advanced and specific treatment modeling efforts. Extensively classroom-tested in undergraduate and graduate courses, this self-contained book allows instructors to emphasize specific topics relevant to clinical cancer biology and treatment. It can be used in a variety of ways, including a single-semester undergraduate course, a more ambitious graduate course, or a full-year sequence on mathematical oncology.
Author : Vittorio Cristini
Publisher : Cambridge University Press
ISBN 13 : 1139491504
Total Pages : 299 pages
Book Rating : 4.1/5 (394 download)
Download or read book Multiscale Modeling of Cancer written by Vittorio Cristini and published by Cambridge University Press. This book was released on 2010-09-09 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical modeling, analysis and simulation are set to play crucial roles in explaining tumor behavior, and the uncontrolled growth of cancer cells over multiple time and spatial scales. This book, the first to integrate state-of-the-art numerical techniques with experimental data, provides an in-depth assessment of tumor cell modeling at multiple scales. The first part of the text presents a detailed biological background with an examination of single-phase and multi-phase continuum tumor modeling, discrete cell modeling, and hybrid continuum-discrete modeling. In the final two chapters, the authors guide the reader through problem-based illustrations and case studies of brain and breast cancer, to demonstrate the future potential of modeling in cancer research. This book has wide interdisciplinary appeal and is a valuable resource for mathematical biologists, biomedical engineers and clinical cancer research communities wishing to understand this emerging field.
Author : Dominik Wodarz
Publisher : World Scientific
ISBN 13 : 9812560270
Total Pages : 268 pages
Book Rating : 4.8/5 (125 download)
Download or read book Computational Biology of Cancer written by Dominik Wodarz and published by World Scientific. This book was released on 2005 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: - Provides an introduction to computational methods in cancer biology - Follows a multi-disciplinary approach
Author : Katarzyna Krukiewicz
Publisher :
ISBN 13 : 9788378808763
Total Pages : 0 pages
Book Rating : 4.8/5 (87 download)
Download or read book Recent Advances in Computational Oncology and Personalized Medicine written by Katarzyna Krukiewicz and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Alberto d'Onofrio
Publisher : Birkhäuser
ISBN 13 : 9781493904570
Total Pages : 0 pages
Book Rating : 4.9/5 (45 download)
Download or read book Mathematical Oncology 2013 written by Alberto d'Onofrio and published by Birkhäuser. This book was released on 2014-10-20 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: With chapters on free boundaries, constitutive equations, stochastic dynamics, nonlinear diffusion–consumption, structured populations, and applications of optimal control theory, this volume presents the most significant recent results in the field of mathematical oncology. It highlights the work of world-class research teams, and explores how different researchers approach the same problem in various ways. Tumors are complex entities that present numerous challenges to the mathematical modeler. First and foremost, they grow. Thus their spatial mean field description involves a free boundary problem. Second, their interiors should be modeled as nontrivial porous media using constitutive equations. Third, at the end of anti-cancer therapy, a small number of malignant cells remain, making the post-treatment dynamics inherently stochastic. Fourth, the growth parameters of macroscopic tumors are non-constant, as are the parameters of anti-tumor therapies. Changes in these parameters may induce phenomena that are mathematically equivalent to phase transitions. Fifth, tumor vascular growth is random and self-similar. Finally, the drugs used in chemotherapy diffuse and are taken up by the cells in nonlinear ways. Mathematical Oncology 2013 will appeal to graduate students and researchers in biomathematics, computational and theoretical biology, biophysics, and bioengineering.
Author : Katarzyna Krukiewicz
Publisher :
ISBN 13 : 9788378809470
Total Pages : 0 pages
Book Rating : 4.8/5 (94 download)
Download or read book Recent Advances in Computational Oncology and Personalized Medicine written by Katarzyna Krukiewicz and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Thomas S. Deisboeck
Publisher : CRC Press
ISBN 13 : 9781439814406
Total Pages : 0 pages
Book Rating : 4.8/5 (144 download)
Download or read book Multiscale Cancer Modeling written by Thomas S. Deisboeck and published by CRC Press. This book was released on 2010-12-08 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cancer is a complex disease process that spans multiple scales in space and time. Driven by cutting-edge mathematical and computational techniques, in silico biology provides powerful tools to investigate the mechanistic relationships of genes, cells, and tissues. It enables the creation of experimentally testable hypotheses, the integration of data across scales, and the prediction of tumor progression and treatment outcome (in silico oncology). Drawing on an interdisciplinary group of distinguished international experts, Multiscale Cancer Modeling discusses the scientific and technical expertise necessary to conduct innovative cancer modeling research across scales. It presents contributions from some of the top in silico modeling groups in the United States and Europe. The ultimate goal of multiscale modeling and simulation approaches is their use in clinical practice, such as supporting patient-specific treatment optimization. This volume covers state-of-the-art methods of multiscale cancer modeling and addresses the field’s potential as well as future challenges. It encourages collaborations among researchers in various disciplines to achieve breakthroughs in cancer modeling.
Author : Chiara Romualdi
Publisher : Frontiers Media SA
ISBN 13 : 2889661512
Total Pages : 187 pages
Book Rating : 4.8/5 (896 download)
Download or read book Multi-omic Data Integration in Oncology written by Chiara Romualdi and published by Frontiers Media SA. This book was released on 2020-12-03 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.
Author : Inna Kuperstein
Publisher : CRC Press
ISBN 13 : 1000682927
Total Pages : 167 pages
Book Rating : 4.0/5 (6 download)
Download or read book Computational Systems Biology Approaches in Cancer Research written by Inna Kuperstein and published by CRC Press. This book was released on 2019-09-09 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for Computational Systems BiologyApproaches in Cancer Research: "Complex concepts are written clearly and with informative illustrations and useful links. The book is enjoyable to read yet provides sufficient depth to serve as a valuable resource for both students and faculty." — Trey Ideker, Professor of Medicine, UC Xan Diego, School of Medicine "This volume is attractive because it addresses important and timely topics for research and teaching on computational methods in cancer research. It covers a broad variety of approaches, exposes recent innovations in computational methods, and provides acces to source code and to dedicated interactive web sites." — Yves Moreau, Department of Electrical Engineering, SysBioSys Centre for Computational Systems Biology, University of Leuven With the availability of massive amounts of data in biology, the need for advanced computational tools and techniques is becoming increasingly important and key in understanding biology in disease and healthy states. This book focuses on computational systems biology approaches, with a particular lens on tackling one of the most challenging diseases - cancer. The book provides an important reference and teaching material in the field of computational biology in general and cancer systems biology in particular. The book presents a list of modern approaches in systems biology with application to cancer research and beyond. It is structured in a didactic form such that the idea of each approach can easily be grasped from the short text and self-explanatory figures. The coverage of topics is diverse: from pathway resources, through methods for data analysis and single data analysis to drug response predictors, classifiers and image analysis using machine learning and artificial intelligence approaches. Features Up to date using a wide range of approaches Applicationexample in each chapter Online resources with useful applications’
Author : Edwin Wang
Publisher : CRC Press
ISBN 13 : 9781439811863
Total Pages : 456 pages
Book Rating : 4.8/5 (118 download)
Download or read book Cancer Systems Biology written by Edwin Wang and published by CRC Press. This book was released on 2010-05-04 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: The unprecedented amount of data produced with high-throughput experimentation forces biologists to employ mathematical representation and computation methods to glean meaningful information in systems-level biology. Applying this approach to the underlying molecular mechanisms of tumorigenesis, cancer researchers can uncover a series of new discov
