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Introduction To Mathematical Oncology

Introduction to Mathematical Oncology PDF
Author: Yang Kuang
Publisher: CRC Press
Release: 2018-09-03
Size: 67.21 MB
Format: PDF, ePub, Docs
Category : Mathematics
Languages : en
Pages : 470
View: 691

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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.

An Introduction To Physical Oncology

An Introduction to Physical Oncology PDF
Author: Vittorio Cristini
Publisher: CRC Press
Release: 2017-06-26
Size: 37.57 MB
Format: PDF, ePub, Mobi
Category : Mathematics
Languages : en
Pages : 164
View: 6350

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Physical oncology has the potential to revolutionize cancer research and treatment. The fundamental rationale behind this approach is that physical processes, such as transport mechanisms for drug molecules within tissue and forces exchanged by cancer cells with tissue, may play an equally important role as biological processes in influencing progression and treatment outcome. This book introduces the emerging field of physical oncology to a general audience, with a focus on recent breakthroughs that help in the design and discovery of more effective cancer treatments. It describes how novel mathematical models of physical transport processes incorporate patient tissue and imaging data routinely produced in the clinic to predict the efficacy of many cancer treatment approaches, including chemotherapy and radiation therapy. By helping to identify which therapies would be most beneficial for an individual patient, and quantifying their effects prior to actual implementation in the clinic, physical oncology allows doctors to design treatment regimens customized to each patient’s clinical needs, significantly altering the current clinical approach to cancer treatment and improving the outcomes for patients.

Prognostic And Therapeutic Applications Of Rkip In Cancer

Prognostic and Therapeutic Applications of Rkip in Cancer PDF
Author: Benjamin Bonavida
Publisher: Academic Press
Release: 2020-03-02
Size: 50.17 MB
Format: PDF, ePub
Category : Science
Languages : en
Pages : 504
View: 4831

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Prognostic and Therapeutic Applications of RKIP in Cancer provides updated reviews on the chemistry, signaling, pre-clinical and clinical activities, and role of RKIP expression levels for diagnostics, prognosis and potential interventions. The development of novel compounds and conjugates that selectively induce RKIP expression in cancer open a novel era of new therapeutics and their potential in the treatment of highly resistant cancers and metastases. Edited and written by internationally renowned experts in the field of novel therapeutics for cancer, this book is a valuable source for cancer researchers, medical scientists, clinicians, clinical pharmacologists, and graduate students. Provides an update from experts in the field on diagnostics, prognostics and therapeutics Brings a clear overview of recent findings and references, as well as summaries, significant molecular pathways, and conclusions in each chapter Provides a general introductory chapter on contributions in the field and a chapter summary, with synthesized findings and a projection of future goals

Dynamics Of Cancer

Dynamics of Cancer PDF
Author: Dominik Wodarz
Publisher: World Scientific
Release: 2014-04-24
Size: 65.42 MB
Format: PDF, Mobi
Category : Medical
Languages : en
Pages : 532
View: 527

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The book aims to provide an introduction to mathematical models that describe the dynamics of tumor growth and the evolution of tumor cells. It can be used as a textbook for advanced undergraduate or graduate courses, and also serves as a reference book for researchers. The book has a strong evolutionary component and reflects the viewpoint that cancer can be understood rationally through a combination of mathematical and biological tools. It can be used both by mathematicians and biologists. Mathematically, the book starts with relatively simple ordinary differential equation models, and subsequently explores more complex stochastic and spatial models. Biologically, the book starts with explorations of the basic dynamics of tumor growth, including competitive interactions among cells, and subsequently moves on to the evolutionary dynamics of cancer cells, including scenarios of cancer initiation, progression, and treatment. The book finishes with a discussion of advanced topics, which describe how some of the mathematical concepts can be used to gain insights into a variety of questions, such as epigenetics, telomeres, gene therapy, and social interactions of cancer cells. Contents:Teaching GuideCancer and Somatic EvolutionMathematical Modeling of TumorigenesisBasic Growth Dynamics and Deterministic Models:Single Species GrowthTwo-Species Competition DynamicsCompetition Between Genetically Stable and Unstable CellsChromosomal Instability and Tumor GrowthAngiogenesis Inhibitors, Promoters, and Spatial GrowthEvolutionary Dynamics and Stochastic Models:Evolutionary Dynamics of Tumor Initiation Through Oncogenes: The Gain-of-Function ModelEvolutionary Dynamics of Tumor Initiation Through Tumor-Suppressor Genes: The Loss-of-Function Model and Stochastic TunnelingMicrosatellite and Chromosomal Instability in Sporadic and Familial Colorectal CancersEvolutionary Dynamics in Hierarchical PopulationsSpatial Evolutionary Dynamics of Tumor InitiationComplex Tumor Dynamics in SpaceStochastic Modeling of Cellular Growth, Treatment, and Resistance GenerationEvolutionary Dynamics of Drug Resistance in Chronic Myeloid LeukemiaAdvanced Topics:Evolutionary Dynamics of Stem-Cell Driven Tumor GrowthTumor Growth Kinetics and Disease ProgressionEpigenetic Changes and the Rate of DNA MethylationTelomeres and Cancer ProtectionGene Therapy and Oncolytic Virus TherapyImmune Responses, Tumor Growth, and TherapiesTowards Higher Complexities: Social Interactions Readership: Researchers in mathematical biology, mathematical modeling, biology, mathematical oncology. Keywords:Mathematical Oncology;Dynamics;Evolution;Evolutionary Dynamics;Cancer;Mathematical Models;Somatic Evolution;TeachingKey Features:Both a reference book for the topic, and provides material for undergraduate and graduate coursesTries to bridge the divide between mathematicians and biologists, which is also reflected in the backgrounds of the two authorsShows how mathematical concepts can be translated into experimentally and clinically useful insightsRooted in evolutionary biology, the book handles this very complex phenomenon in an intuitive and mathematically elegant wayContains problems and research projects for each topic10 pages of figures in color

Indian Books In Print

Indian Books in Print PDF
Author:
Publisher:
Release: 2002
Size: 78.93 MB
Format: PDF, Kindle
Category : English imprints
Languages : en
Pages :
View: 4644

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Science East To West

Science East to West PDF
Author:
Publisher:
Release: 1964
Size: 65.79 MB
Format: PDF, ePub, Mobi
Category : Research
Languages : en
Pages :
View: 4139

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A bulletin aiming to create interest in the use of Chinese, Japanese, Russian and other Eastern scientific and technical publciations.

Handbook Of Evidence Based Radiation Oncology

Handbook of Evidence based Radiation Oncology PDF
Author: H. Haken
Publisher: Springer
Release: 1993
Size: 44.54 MB
Format: PDF, ePub, Docs
Category : Medical
Languages : en
Pages : 462
View: 2114

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This portable reference bases practical treatment recommendations and guidelines on evidence-based medicine. The concise clinical chapters are organized by body site for easy access to critical information, highlighting "pearls" of epidemiology, anatomy, pathology, and clinical presentation. Key facets of the work-up are listed, followed by staging and risk classification systems. Discussion of treatment recommendations is based on stage, histology, and risk classification, with summaries of key trials and studies providing rationale. Each chapter outlines possible complications and follow-up guidelines. Appendices cover performance status scales, radionucleotides used in brachytherapy, radiation safety, tumor markers, immunophenotyping and cytogenetics, and commonly prescribed drugs.

Bibliographic Control Of The Literature Of Oncology 1800 1960

Bibliographic Control of the Literature of Oncology  1800 1960 PDF
Author: Pauline M. Vaillancourt
Publisher:
Release: 1969
Size: 12.58 MB
Format: PDF, Kindle
Category : Cancer - Bibliographie
Languages : en
Pages : 226
View: 2616

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Handbook describing the bibliographical tools pertinent to the study of neoplasms. Emphasis on titles useful in retrospective searching. Arrangement by broad topics. 7 appendixes. General index.