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Stochastic Methods In Cancer Research


Stochastic Methods In Cancer Research
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Stochastic Models Of Tumor Latency And Their Biostatistical Applications


Stochastic Models Of Tumor Latency And Their Biostatistical Applications
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Author : Andrej Yu Yakovlev
language : en
Publisher: World Scientific
Release Date : 1996

Stochastic Models Of Tumor Latency And Their Biostatistical Applications written by Andrej Yu Yakovlev and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Medical categories.


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.



Stochastic Methods In Cancer Research Applications To Genomics And Angiogenesis


Stochastic Methods In Cancer Research Applications To Genomics And Angiogenesis
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Author : Paola M. V. Rancoita
language : en
Publisher: Ledizioni
Release Date : 2011

Stochastic Methods In Cancer Research Applications To Genomics And Angiogenesis written by Paola M. V. Rancoita and has been published by Ledizioni this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Mathematics categories.


In this thesis, I study three stochastic methods that can be applied for the analysis of data in cancer research and, in particular, to cancer genomic data and to images of angiogenic processes. Cancer is a multistep process where the accumulation of genomic lesions alters cell biology. The latter is under control of several pathways and thus, cancer can arise via different mechanisms affecting different pathways. Due to the general complexity of this disease and the different types of tumors, the efforts of cancer research cover several research areas such as, for example, immunology, genetics, cell biology, angiogenesis.



Integrated Multidisciplinary Approaches In The Study And Care Of The Human Eye


Integrated Multidisciplinary Approaches In The Study And Care Of The Human Eye
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Author : P. Causin
language : en
Publisher: Kugler Publications
Release Date : 2014-12-17

Integrated Multidisciplinary Approaches In The Study And Care Of The Human Eye written by P. Causin and has been published by Kugler Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-17 with Medical categories.


ForewordThe human eye offers the extraordinary possibility to visualize and monitor non-invasively, in vivo, in humans, many morphological and haemodynamical features. Therefore, a large amount of data on ocular structures and macro- and micro-circulation can be obtained in a clinical setting during a patient's visit. However, the interpretation of these data remains a very challenging task, since the understanding of the physiology, bio-mechanics and fluid-dynamics of the human eye remains scarce. This unmet gap between the availability of imaging data and their elusive clinical interpretatio...



Stochastic Methods In Cancer Research


Stochastic Methods In Cancer Research
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Author : Paola M. V Rancoita
language : en
Publisher:
Release Date : 2011

Stochastic Methods In Cancer Research written by Paola M. V Rancoita and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Cancer categories.




The Management Of Uncertainty Approaches Methods And Applications


The Management Of Uncertainty Approaches Methods And Applications
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Author : Luc Wilkin
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

The Management Of Uncertainty Approaches Methods And Applications written by Luc Wilkin and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Business & Economics categories.


For thirty years, the literature on decision-making and planning has been divided into two camps : work premised on rational models of choice and work designed to discredit such models. The sustained critic of fully rational decision-making theories has al ready a long history and a constant message to deliver : in practice, consequential decision-making hardly fulfills the canons of perfect rationality. There is also evidence that decision-making and planning are not unitary processes. Although the concept of "decision-making" connotes the idea of a single process, making a single choice involves a complex of processing tasks : structuring the problem, finding alternatives worth considering, deciding what information is relevant, assessing various consequences, and a variety of others. The aim of this volume is to bring together and try to inter relate some of the concepts and relevant knowledge from various disciplines concerned with one important aspect of this complex process : the management of uncertainty. It is hardly necessary to reiterate the case made by numerous authors about our changing and increasingly uncertain world. Suffice it to say here that it is uncertainty about the future, and in many cases about the past and the present also, which makes decision-making and planning so difficul t. The management of uncertainty may be defined as the way in which uncertainty is treated and processed in decision-making.



A Practical Guide To Understanding Managing And Reviewing Environmental Risk Assessment Reports


A Practical Guide To Understanding Managing And Reviewing Environmental Risk Assessment Reports
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Author : Sally L. Benjamin
language : en
Publisher: CRC Press
Release Date : 2001-02-21

A Practical Guide To Understanding Managing And Reviewing Environmental Risk Assessment Reports written by Sally L. Benjamin and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-02-21 with Law categories.


A Practical Guide to Understanding, Managing and Reviewing Environmental Risk Assessment Reports provides team leaders and team members with a strategy for developing the elements of risk assessment into a readable and beneficial report. The authors believe that successful management of the risk assessment team is a key factor is quality repor



Stochastic Methods In Neuroscience


Stochastic Methods In Neuroscience
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Author : Carlo Laing
language : en
Publisher: Oxford University Press
Release Date : 2010

Stochastic Methods In Neuroscience written by Carlo Laing and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Mathematics categories.


Great interest is now being shown in computational and mathematical neuroscience, fuelled in part by the rise in computing power, the ability to record large amounts of neurophysiological data, and advances in stochastic analysis. These techniques are leading to biophysically more realistic models. It has also become clear that both neuroscientists and mathematicians profit from collaborations in this exciting research area.Graduates and researchers in computational neuroscience and stochastic systems, and neuroscientists seeking to learn more about recent advances in the modelling and analysis of noisy neural systems, will benefit from this comprehensive overview. The series of self-contained chapters, each written by experts in their field, covers key topics such as: Markov chain models for ion channel release; stochastically forced single neurons and populations of neurons; statistical methods for parameterestimation; and the numerical approximation of these stochastic models.Each chapter gives an overview of a particular topic, including its history, important results in the area, and future challenges, and the text comes complete with a jargon-busting index of acronyms to allow readers to familiarize themselves with the language used.



Sourcebook Of Models For Biomedical Research


Sourcebook Of Models For Biomedical Research
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Author : P. Michael Conn
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-03-07

Sourcebook Of Models For Biomedical Research written by P. Michael Conn and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-03-07 with Medical categories.


The collection of systems represented in this volume is a unique effort to reflect the diversity and utility of models used in biomedicine. That utility is based on the consideration that observations made in particular organisms will provide insight into the workings of other, more complex systems. This volume is therefore a comprehensive and extensive collection of these important medical parallels.



Modern Trends In Controlled Stochastic Processes


Modern Trends In Controlled Stochastic Processes
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Author : Alexey B. Piunovskiy
language : en
Publisher: Luniver Press
Release Date : 2010-09

Modern Trends In Controlled Stochastic Processes written by Alexey B. Piunovskiy and has been published by Luniver Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-09 with Mathematics categories.


World leading experts give their accounts of the modern mathematical models in the field: Markov Decision Processes, controlled diffusions, piece-wise deterministic processes etc, with a wide range of performance functionals. One of the aims is to give a general view on the state-of-the-art. The authors use Dynamic Programming, Convex Analytic Approach, several numerical methods, index-based approach and so on. Most chapters either contain well developed examples, or are entirely devoted to the application of the mathematical control theory to real life problems from such fields as Insurance, Portfolio Optimization and Information Transmission. The book will enable researchers, academics and research students to get a sense of novel results, concepts, models, methods, and applications of controlled stochastic processes.



Numerical Methods And Advanced Simulation In Biomechanics And Biological Processes


Numerical Methods And Advanced Simulation In Biomechanics And Biological Processes
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Author : Miguel Cerrolaza
language : en
Publisher: Academic Press
Release Date : 2017-12-28

Numerical Methods And Advanced Simulation In Biomechanics And Biological Processes written by Miguel Cerrolaza and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-28 with Technology & Engineering categories.


Numerical Methods and Advanced Simulation in Biomechanics and Biological Processes covers new and exciting modeling methods to help bioengineers tackle problems for which the Finite Element Method is not appropriate. The book covers a wide range of important subjects in the field of numerical methods applied to biomechanics, including bone biomechanics, tissue and cell mechanics, 3D printing, computer assisted surgery and fluid dynamics. Modeling strategies, technology and approaches are continuously evolving as the knowledge of biological processes increases. Both theory and applications are covered, making this an ideal book for researchers, students and R&D professionals. - Provides non-conventional analysis methods for modeling - Covers the Discrete Element Method (DEM), Particle Methods (PM), MessLess and MeshFree Methods (MLMF), Agent-Based Methods (ABM), Lattice-Boltzmann Methods (LBM) and Boundary Integral Methods (BIM) - Includes contributions from several world renowned experts in their fields - Compares pros and cons of each method to help you decide which method is most applicable to solving specific problems