Handbook of Cancer Models with Applications

Handbook of Cancer Models with Applications

Author: W. Y. Tan

Publisher: World Scientific

Published: 2008

Total Pages: 592

ISBN-13: 9812779485

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Composed of contributions from an international team of leading researchers, this book pulls together the most recent research results in the field of cancer modeling to provide readers with the most advanced mathematical models of cancer and their applications.Topics included in the book cover oncogenetic trees, stochastic multistage models of carcinogenesis, effects of ionizing radiation on cell cycle and genomic instability, induction of DNA damage by ionizing radiation and its repair, epigenetic cancer models, bystander effects of radiation, multiple pathway models of human colon cancer, and stochastic models of metastasis. The book also provides some important applications of cancer models to the assessment of cancer risk associated with various hazardous environmental agents, to cancer screening by MRI, and to drug resistance in cancer chemotherapy. An updated statistical design and analysis of xenograft experiments as well as a statistical analysis of cancer occult clinical data are also provided.The book will serve as a useful source of reference for researchers in biomathematics, biostatistics and bioinformatics; for clinical investigators and medical doctors employing quantitative methods to develop procedures for cancer diagnosis, prevention, control and treatment; and for graduate students.


Book Synopsis Handbook of Cancer Models with Applications by : W. Y. Tan

Download or read book Handbook of Cancer Models with Applications written by W. Y. Tan and published by World Scientific. This book was released on 2008 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: Composed of contributions from an international team of leading researchers, this book pulls together the most recent research results in the field of cancer modeling to provide readers with the most advanced mathematical models of cancer and their applications.Topics included in the book cover oncogenetic trees, stochastic multistage models of carcinogenesis, effects of ionizing radiation on cell cycle and genomic instability, induction of DNA damage by ionizing radiation and its repair, epigenetic cancer models, bystander effects of radiation, multiple pathway models of human colon cancer, and stochastic models of metastasis. The book also provides some important applications of cancer models to the assessment of cancer risk associated with various hazardous environmental agents, to cancer screening by MRI, and to drug resistance in cancer chemotherapy. An updated statistical design and analysis of xenograft experiments as well as a statistical analysis of cancer occult clinical data are also provided.The book will serve as a useful source of reference for researchers in biomathematics, biostatistics and bioinformatics; for clinical investigators and medical doctors employing quantitative methods to develop procedures for cancer diagnosis, prevention, control and treatment; and for graduate students.

Handbook Of Cancer Models With Applications

Handbook Of Cancer Models With Applications

Author: Wai-yuan Tan

Publisher: World Scientific

Published: 2008-06-02

Total Pages: 592

ISBN-13: 9814472263

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Composed of contributions from an international team of leading researchers, this book pulls together the most recent research results in the field of cancer modeling to provide readers with the most advanced mathematical models of cancer and their applications.Topics included in the book cover oncogenetic trees, stochastic multistage models of carcinogenesis, effects of ionizing radiation on cell cycle and genomic instability, induction of DNA damage by ionizing radiation and its repair, epigenetic cancer models, bystander effects of radiation, multiple pathway models of human colon cancer, and stochastic models of metastasis. The book also provides some important applications of cancer models to the assessment of cancer risk associated with various hazardous environmental agents, to cancer screening by MRI, and to drug resistance in cancer chemotherapy. An updated statistical design and analysis of xenograft experiments as well as a statistical analysis of cancer occult clinical data are also provided.The book will serve as a useful source of reference for researchers in biomathematics, biostatistics and bioinformatics; for clinical investigators and medical doctors employing quantitative methods to develop procedures for cancer diagnosis, prevention, control and treatment; and for graduate students.


Book Synopsis Handbook Of Cancer Models With Applications by : Wai-yuan Tan

Download or read book Handbook Of Cancer Models With Applications written by Wai-yuan Tan and published by World Scientific. This book was released on 2008-06-02 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: Composed of contributions from an international team of leading researchers, this book pulls together the most recent research results in the field of cancer modeling to provide readers with the most advanced mathematical models of cancer and their applications.Topics included in the book cover oncogenetic trees, stochastic multistage models of carcinogenesis, effects of ionizing radiation on cell cycle and genomic instability, induction of DNA damage by ionizing radiation and its repair, epigenetic cancer models, bystander effects of radiation, multiple pathway models of human colon cancer, and stochastic models of metastasis. The book also provides some important applications of cancer models to the assessment of cancer risk associated with various hazardous environmental agents, to cancer screening by MRI, and to drug resistance in cancer chemotherapy. An updated statistical design and analysis of xenograft experiments as well as a statistical analysis of cancer occult clinical data are also provided.The book will serve as a useful source of reference for researchers in biomathematics, biostatistics and bioinformatics; for clinical investigators and medical doctors employing quantitative methods to develop procedures for cancer diagnosis, prevention, control and treatment; and for graduate students.

Protocol Handbook for Cancer Biology

Protocol Handbook for Cancer Biology

Author: Gauri Misra

Publisher: Academic Press

Published: 2021-02-12

Total Pages: 222

ISBN-13: 0323898173

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Protocol Handbook for Cancer Biology brings together a comprehensive collection of the methods used for cancer assessment, diagnostics, and therapeutics. Various protocols are discussed along with alternative strategies, including the advantages and limitations of techniques that have been used in labs globally. These protocols are presented by cancer biology experts based on their real-world experience. The protocols in this book will be a valuable resource for cancer researchers and graduate students, who can utilize the techniques described to conduct research more efficiently and successfully. Presents comprehensive protocols used for cancer assessment, diagnostics, and therapeutics all in one place Encompasses alternative strategies considering the requirements of the end user and taking into consideration diverse research settings Discusses limitations and advantages of each method in experimental design and execution, thus saving time during the research process


Book Synopsis Protocol Handbook for Cancer Biology by : Gauri Misra

Download or read book Protocol Handbook for Cancer Biology written by Gauri Misra and published by Academic Press. This book was released on 2021-02-12 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: Protocol Handbook for Cancer Biology brings together a comprehensive collection of the methods used for cancer assessment, diagnostics, and therapeutics. Various protocols are discussed along with alternative strategies, including the advantages and limitations of techniques that have been used in labs globally. These protocols are presented by cancer biology experts based on their real-world experience. The protocols in this book will be a valuable resource for cancer researchers and graduate students, who can utilize the techniques described to conduct research more efficiently and successfully. Presents comprehensive protocols used for cancer assessment, diagnostics, and therapeutics all in one place Encompasses alternative strategies considering the requirements of the end user and taking into consideration diverse research settings Discusses limitations and advantages of each method in experimental design and execution, thus saving time during the research process

Handbook of Animal Models and its Uses in Cancer Research

Handbook of Animal Models and its Uses in Cancer Research

Author: Surajit Pathak

Publisher: Springer Nature

Published: 2023-01-31

Total Pages: 1158

ISBN-13: 9811938245

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This reference book compiles together different animal models in cancer research. It provides knowledge and a better understanding of the advancement of the molecular and cellular mechanisms associated with the progression, formation, and clinical results of various types of cancer from the evidence collected from animal models utilized for cancer research. It discusses animal models for screening anti-cancer drugs and exploration of gene therapy. It presents different methods used to construct cancer animal models and the progress of each animal model in tumor research. The book also highlights the applications of genetic engineering, including CRISP/Cas9, in designing and developing animal models for cancer research. Further, it discusses strategies for modeling animals for investigating growth, metastasis, tumor-associated inflammation and microenvironment, cancer stem cells, tumor heterogeneity, and therapeutic resistance. This book is s a valuable resource for basic and translational cancer researchers, clinicians, and health care.


Book Synopsis Handbook of Animal Models and its Uses in Cancer Research by : Surajit Pathak

Download or read book Handbook of Animal Models and its Uses in Cancer Research written by Surajit Pathak and published by Springer Nature. This book was released on 2023-01-31 with total page 1158 pages. Available in PDF, EPUB and Kindle. Book excerpt: This reference book compiles together different animal models in cancer research. It provides knowledge and a better understanding of the advancement of the molecular and cellular mechanisms associated with the progression, formation, and clinical results of various types of cancer from the evidence collected from animal models utilized for cancer research. It discusses animal models for screening anti-cancer drugs and exploration of gene therapy. It presents different methods used to construct cancer animal models and the progress of each animal model in tumor research. The book also highlights the applications of genetic engineering, including CRISP/Cas9, in designing and developing animal models for cancer research. Further, it discusses strategies for modeling animals for investigating growth, metastasis, tumor-associated inflammation and microenvironment, cancer stem cells, tumor heterogeneity, and therapeutic resistance. This book is s a valuable resource for basic and translational cancer researchers, clinicians, and health care.

Stochastic Models With Applications To Genetics, Cancers, Aids And Other Biomedical Systems (Second Edition)

Stochastic Models With Applications To Genetics, Cancers, Aids And Other Biomedical Systems (Second Edition)

Author: Wai-yuan Tan

Publisher: World Scientific

Published: 2015-10-28

Total Pages: 524

ISBN-13: 9814397210

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This book presents a systematic treatment of Markov chains, diffusion processes and state space models, as well as alternative approaches to Markov chains through stochastic difference equations and stochastic differential equations. It illustrates how these processes and approaches are applied to many problems in genetics, carcinogenesis, AIDS epidemiology and other biomedical systems.One feature of the book is that it describes the basic MCMC (Markov chain and Monte Carlo) procedures and illustrates how to use the Gibbs sampling method and the multilevel Gibbs sampling method to solve many problems in genetics, carcinogenesis, AIDS and other biomedical systems.As another feature, the book develops many state space models for many genetic problems, carcinogenesis, AIDS epidemiology and HIV pathogenesis. It shows in detail how to use the multilevel Gibbs sampling method to estimate (or predict) simultaneously the state variables and the unknown parameters in cancer chemotherapy, carcinogenesis, AIDS epidemiology and HIV pathogenesis. As a matter of fact, this book is the first to develop several state space models for many genetic problems, carcinogenesis and other biomedical problems.To emphasize special applications to medical problems, in this new edition the book has added a new chapter to illustrate how to develop biologically-supported stochastic models and state space models of carcinogenesis in human beings. Specific examples include hidden Markov models and state space models for human colon cancer, human liver cancer and some human pediatric cancers such as retinoblastoma and hepatoblastoma. The book also gives examples to illustrate how to develop procedures to assess cancer risk of environmental agents through initiation-promotion protocols.


Book Synopsis Stochastic Models With Applications To Genetics, Cancers, Aids And Other Biomedical Systems (Second Edition) by : Wai-yuan Tan

Download or read book Stochastic Models With Applications To Genetics, Cancers, Aids And Other Biomedical Systems (Second Edition) written by Wai-yuan Tan and published by World Scientific. This book was released on 2015-10-28 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a systematic treatment of Markov chains, diffusion processes and state space models, as well as alternative approaches to Markov chains through stochastic difference equations and stochastic differential equations. It illustrates how these processes and approaches are applied to many problems in genetics, carcinogenesis, AIDS epidemiology and other biomedical systems.One feature of the book is that it describes the basic MCMC (Markov chain and Monte Carlo) procedures and illustrates how to use the Gibbs sampling method and the multilevel Gibbs sampling method to solve many problems in genetics, carcinogenesis, AIDS and other biomedical systems.As another feature, the book develops many state space models for many genetic problems, carcinogenesis, AIDS epidemiology and HIV pathogenesis. It shows in detail how to use the multilevel Gibbs sampling method to estimate (or predict) simultaneously the state variables and the unknown parameters in cancer chemotherapy, carcinogenesis, AIDS epidemiology and HIV pathogenesis. As a matter of fact, this book is the first to develop several state space models for many genetic problems, carcinogenesis and other biomedical problems.To emphasize special applications to medical problems, in this new edition the book has added a new chapter to illustrate how to develop biologically-supported stochastic models and state space models of carcinogenesis in human beings. Specific examples include hidden Markov models and state space models for human colon cancer, human liver cancer and some human pediatric cancers such as retinoblastoma and hepatoblastoma. The book also gives examples to illustrate how to develop procedures to assess cancer risk of environmental agents through initiation-promotion protocols.

Handbook of Probabilistic Models

Handbook of Probabilistic Models

Author: Pijush Samui

Publisher: Butterworth-Heinemann

Published: 2019-10-05

Total Pages: 590

ISBN-13: 0128165464

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Handbook of Probabilistic Models carefully examines the application of advanced probabilistic models in conventional engineering fields. In this comprehensive handbook, practitioners, researchers and scientists will find detailed explanations of technical concepts, applications of the proposed methods, and the respective scientific approaches needed to solve the problem. This book provides an interdisciplinary approach that creates advanced probabilistic models for engineering fields, ranging from conventional fields of mechanical engineering and civil engineering, to electronics, electrical, earth sciences, climate, agriculture, water resource, mathematical sciences and computer sciences. Specific topics covered include minimax probability machine regression, stochastic finite element method, relevance vector machine, logistic regression, Monte Carlo simulations, random matrix, Gaussian process regression, Kalman filter, stochastic optimization, maximum likelihood, Bayesian inference, Bayesian update, kriging, copula-statistical models, and more. Explains the application of advanced probabilistic models encompassing multidisciplinary research Applies probabilistic modeling to emerging areas in engineering Provides an interdisciplinary approach to probabilistic models and their applications, thus solving a wide range of practical problems


Book Synopsis Handbook of Probabilistic Models by : Pijush Samui

Download or read book Handbook of Probabilistic Models written by Pijush Samui and published by Butterworth-Heinemann. This book was released on 2019-10-05 with total page 590 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Probabilistic Models carefully examines the application of advanced probabilistic models in conventional engineering fields. In this comprehensive handbook, practitioners, researchers and scientists will find detailed explanations of technical concepts, applications of the proposed methods, and the respective scientific approaches needed to solve the problem. This book provides an interdisciplinary approach that creates advanced probabilistic models for engineering fields, ranging from conventional fields of mechanical engineering and civil engineering, to electronics, electrical, earth sciences, climate, agriculture, water resource, mathematical sciences and computer sciences. Specific topics covered include minimax probability machine regression, stochastic finite element method, relevance vector machine, logistic regression, Monte Carlo simulations, random matrix, Gaussian process regression, Kalman filter, stochastic optimization, maximum likelihood, Bayesian inference, Bayesian update, kriging, copula-statistical models, and more. Explains the application of advanced probabilistic models encompassing multidisciplinary research Applies probabilistic modeling to emerging areas in engineering Provides an interdisciplinary approach to probabilistic models and their applications, thus solving a wide range of practical problems

Animal Models in Cancer Drug Discovery

Animal Models in Cancer Drug Discovery

Author: Asfar Azmi

Publisher: Academic Press

Published: 2019-04-16

Total Pages: 470

ISBN-13: 0128147059

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Animal Models in Cancer Drug Discovery brings forward the most cutting-edge developments in tumor model systems for translational cancer research. The reader can find under this one volume virtually all types of existing and emerging tumor models in use by the research community. This book provides a deeper insight on how these newer models could de-risk modern drug discovery. Areas covered include up to date information on latest organoid derived models and newer genetic models. Additionally, the book discusses humanized animal tumor models for cancer immunotherapy and how they leverage personalized therapies. The chapter on larger animal, canine models and their use in and their use in pre-investigational new drug (pre-IND) development makes the volume unique. Unlike before, the incorporation of several simplified protocols, breeding methodologies, handling and assessment procedures to study drug intervention makes this book a must read. Animal Models in Cancer Drug Discovery is a valuable resource for basic and translational cancer researchers, drug discovery researchers, contract research organizations, and knowledge seekers at all levels in the biomedical field. Encompasses discussions on innovative animal models, xenograft, genetic models, primary models, organoid systems, humanized and other models in modern biology paradigms that are enhancing research in the field of drug discover Covers the use of these models in personalized medicine, immunotherapy, toxicology, pre-IND assessments and related drug development arenas Presents protocols, procedures, and a comprehensive glossary to help new readers understand technical terms and specialized nomenclature


Book Synopsis Animal Models in Cancer Drug Discovery by : Asfar Azmi

Download or read book Animal Models in Cancer Drug Discovery written by Asfar Azmi and published by Academic Press. This book was released on 2019-04-16 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: Animal Models in Cancer Drug Discovery brings forward the most cutting-edge developments in tumor model systems for translational cancer research. The reader can find under this one volume virtually all types of existing and emerging tumor models in use by the research community. This book provides a deeper insight on how these newer models could de-risk modern drug discovery. Areas covered include up to date information on latest organoid derived models and newer genetic models. Additionally, the book discusses humanized animal tumor models for cancer immunotherapy and how they leverage personalized therapies. The chapter on larger animal, canine models and their use in and their use in pre-investigational new drug (pre-IND) development makes the volume unique. Unlike before, the incorporation of several simplified protocols, breeding methodologies, handling and assessment procedures to study drug intervention makes this book a must read. Animal Models in Cancer Drug Discovery is a valuable resource for basic and translational cancer researchers, drug discovery researchers, contract research organizations, and knowledge seekers at all levels in the biomedical field. Encompasses discussions on innovative animal models, xenograft, genetic models, primary models, organoid systems, humanized and other models in modern biology paradigms that are enhancing research in the field of drug discover Covers the use of these models in personalized medicine, immunotherapy, toxicology, pre-IND assessments and related drug development arenas Presents protocols, procedures, and a comprehensive glossary to help new readers understand technical terms and specialized nomenclature

Handbook of Nanomaterials for Cancer Theranostics

Handbook of Nanomaterials for Cancer Theranostics

Author: Joao Conde

Publisher: Elsevier

Published: 2018-06-27

Total Pages: 606

ISBN-13: 0128133406

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Handbook of Nanomaterials for Cancer Theranostics focuses on recent developments in advanced theranostic nanomedicines from a chemical and biological perspective where the advantages of theranostics are achieved by combining multiple components. The authors explore the pros and cons of theranostic nanomaterials developed in cancer research in the last 15 years, with the different strategies compared and scrutinized. In addition, the book explores how nanomaterials may overcome the regulatory hurdles facing theranostic nanomedicines. This is an important research reference for postgraduates and researchers in nanomedicine and cancer research who want to learn more on how nanomaterials can help create more effective cancer treatments. Highlights the development of smart theranostic nanomaterials to tackle biomedical problems in cancer therapy and diagnostics Explores the regulatory hurdles facing theranostic nanomedicine Discusses how the use of nanomaterials can help create more effective cancer treatments


Book Synopsis Handbook of Nanomaterials for Cancer Theranostics by : Joao Conde

Download or read book Handbook of Nanomaterials for Cancer Theranostics written by Joao Conde and published by Elsevier. This book was released on 2018-06-27 with total page 606 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Nanomaterials for Cancer Theranostics focuses on recent developments in advanced theranostic nanomedicines from a chemical and biological perspective where the advantages of theranostics are achieved by combining multiple components. The authors explore the pros and cons of theranostic nanomaterials developed in cancer research in the last 15 years, with the different strategies compared and scrutinized. In addition, the book explores how nanomaterials may overcome the regulatory hurdles facing theranostic nanomedicines. This is an important research reference for postgraduates and researchers in nanomedicine and cancer research who want to learn more on how nanomaterials can help create more effective cancer treatments. Highlights the development of smart theranostic nanomaterials to tackle biomedical problems in cancer therapy and diagnostics Explores the regulatory hurdles facing theranostic nanomedicine Discusses how the use of nanomaterials can help create more effective cancer treatments

Stochastic Models of Tumor Latency and Their Biostatistical Applications

Stochastic Models of Tumor Latency and Their Biostatistical Applications

Author: Andrej Yu Yakovlev

Publisher: World Scientific

Published: 1996

Total Pages: 287

ISBN-13: 9810218311

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This research monograph discusses newly developed mathematical models and methods that provide biologically meaningful inferences from data on cancer latency produced by follow-up and discrete surveillance studies. Methods for designing optimal strategies of cancer surveillance are systematically presented for the first time in this book. It offers new approaches to the stochastic description of tumor latency, employs biologically-based models for making statistical inference from data on tumor recurrence and also discusses methods of statistical analysis of data resulting from discrete surveillance strategies. It also offers insight into the role of prognostic factors based on the interpretation of their effects in terms of parameters endowed with biological meaning, as well as methods for designing optimal schedules of cancer screening and surveillance. Last but not least, it discusses survival models allowing for cure rates and the choice of optimal treatment based on covariate information, and presents numerous examples of real data analysis.


Book Synopsis Stochastic Models of Tumor Latency and Their Biostatistical Applications by : Andrej Yu Yakovlev

Download or read book Stochastic Models of Tumor Latency and Their Biostatistical Applications written by Andrej Yu Yakovlev and published by World Scientific. This book was released on 1996 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: This research monograph discusses newly developed mathematical models and methods that provide biologically meaningful inferences from data on cancer latency produced by follow-up and discrete surveillance studies. Methods for designing optimal strategies of cancer surveillance are systematically presented for the first time in this book. It offers new approaches to the stochastic description of tumor latency, employs biologically-based models for making statistical inference from data on tumor recurrence and also discusses methods of statistical analysis of data resulting from discrete surveillance strategies. It also offers insight into the role of prognostic factors based on the interpretation of their effects in terms of parameters endowed with biological meaning, as well as methods for designing optimal schedules of cancer screening and surveillance. Last but not least, it discusses survival models allowing for cure rates and the choice of optimal treatment based on covariate information, and presents numerous examples of real data analysis.

Handbook of Genetic Programming Applications

Handbook of Genetic Programming Applications

Author: Amir H. Gandomi

Publisher: Springer

Published: 2015-11-06

Total Pages: 593

ISBN-13: 3319208837

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This contributed volume, written by leading international researchers, reviews the latest developments of genetic programming (GP) and its key applications in solving current real world problems, such as energy conversion and management, financial analysis, engineering modeling and design, and software engineering, to name a few. Inspired by natural evolution, the use of GP has expanded significantly in the last decade in almost every area of science and engineering. Exploring applications in a variety of fields, the information in this volume can help optimize computer programs throughout the sciences. Taking a hands-on approach, this book provides an invaluable reference to practitioners, providing the necessary details required for a successful application of GP and its branches to challenging problems ranging from drought prediction to trading volatility. It also demonstrates the evolution of GP through major developments in GP studies and applications. It is suitable for advanced students who wish to use relevant book chapters as a basis to pursue further research in these areas, as well as experienced practitioners looking to apply GP to new areas. The book also offers valuable supplementary material for design courses and computation in engineering.


Book Synopsis Handbook of Genetic Programming Applications by : Amir H. Gandomi

Download or read book Handbook of Genetic Programming Applications written by Amir H. Gandomi and published by Springer. This book was released on 2015-11-06 with total page 593 pages. Available in PDF, EPUB and Kindle. Book excerpt: This contributed volume, written by leading international researchers, reviews the latest developments of genetic programming (GP) and its key applications in solving current real world problems, such as energy conversion and management, financial analysis, engineering modeling and design, and software engineering, to name a few. Inspired by natural evolution, the use of GP has expanded significantly in the last decade in almost every area of science and engineering. Exploring applications in a variety of fields, the information in this volume can help optimize computer programs throughout the sciences. Taking a hands-on approach, this book provides an invaluable reference to practitioners, providing the necessary details required for a successful application of GP and its branches to challenging problems ranging from drought prediction to trading volatility. It also demonstrates the evolution of GP through major developments in GP studies and applications. It is suitable for advanced students who wish to use relevant book chapters as a basis to pursue further research in these areas, as well as experienced practitioners looking to apply GP to new areas. The book also offers valuable supplementary material for design courses and computation in engineering.