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Development Of A Mathematical Model To Understand Design Improve Oncolytic Virus Therapies
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Book Synopsis Development of a Mathematical Model to Understand, Design & Improve Oncolytic Virus Therapies by : Cory Batenchuk
Download or read book Development of a Mathematical Model to Understand, Design & Improve Oncolytic Virus Therapies written by Cory Batenchuk and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Oncolytic viruses (OVs) are emerging as a potent therapeutic platform for the treatment of malignant disease. The tumor cells inability to induce antiviral defences in response to a small cytokine known as interferon (IFN) is a common defect exploited by OVs. Heterogeneity in IFN signalling across tumors is therefore a pillar element of resistance to these therapies. I have generated a mathematical model and simulation platform to study the impact of IFN on OV dynamics in normal and cancerous tissues. In the first part of my thesis, I used this model to identify novel OV engineering strategies which could be implemented to overcome IFN based resistance in tumor tissues. From these simulations, it appears that a positive feedback loop, established by virus-mediated expression of an interferon-binding decoy receptor, could increase tumor cytotoxicity without compromising normal cells. The predictions set forth by this model have been validated both qualitatively and quantitatively in in-vitro and in-vivo models using two independent OV strains. This model has subsequently been used to investigate OV attenuation mechanisms, the impact of tumor cell heterogeneity, as well as drug-OV interactions. Following these results, it became apparent that selectivity should equally be observed when overwhelming the cell with a non replicating virus. While normal tissues will clear this pseudo-infection rapidly, owing to their high baseline in antiviral products at the onset of infection, tumor cells with defective anti-viral pathways should not have readily available biomachinery required to degrade this pro-apoptotic signal. Recapitulated by the mathematical model, non-replicating virus-derived particles generated by means of UV irradiation selectively kill tumor cells in cultured cell lines and patient samples, leading to long term cures in murine models. Taken together, this thesis uses a novel mathematical model and simulation platform to understand, design & improve oncolytic virus-based therapeutics.
Book Synopsis Theory and Applications of Hopf Bifurcation by : B. D. Hassard
Download or read book Theory and Applications of Hopf Bifurcation written by B. D. Hassard and published by CUP Archive. This book was released on 1981-02-27 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text will be of value to all those interested in and studying the subject in the mathematical, natural and engineering sciences.
Book Synopsis Targeted Cancer Treatment in Silico by : Natalia L. Komarova
Download or read book Targeted Cancer Treatment in Silico written by Natalia L. Komarova and published by Springer Science & Business Media. This book was released on 2013-11-19 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: Countless medical researchers over the past century have been occupied by the search for a cure of cancer. So far, they have developed and implemented a wide range of treatment techniques, including surgery, chemo- and radiotherapy, antiangiogenic drugs, small molecule inhibitors, and oncolytic viruses. However, patterns of these treatments' effectiveness remain largely unclear, and a better understanding of how cancer therapies work has become a key research goal. Cancer Treatment in Silico provides the first in-depth study of approaching this understanding by modeling cancer treatments, both mathematically and through computer simulations. The main goal of this book is to help expose students and researchers to in silico methods of studying cancer. It is intended for both the applied mathematics and experimental oncology communities, as mathematical models are playing an increasingly important role to supplement laboratory biology in the fight against cancer. Written at a level that generally requires little technical background, the work will be a valuable resource for scientists and students alike.
Book Synopsis Cell Culture Engineering by : Wei-Shu Hu
Download or read book Cell Culture Engineering written by Wei-Shu Hu and published by Springer. This book was released on 2006-08-16 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the introduction of recombinant human growth hormone and insulin a quarter century ago, protein therapeutics has greatly broadened the ho- zon of health care. Many patients suffering with life-threatening diseases or chronic dysfunctions, which were medically untreatable not long ago, can attest to the wonder these drugs have achieved. Although the ?rst generation of p- tein therapeutics was produced in recombinant Escherichia coli, most recent products use mammalian cells as production hosts. Not long after the ?rst p- duction of recombinant proteins in E. coli, it was realized that the complex tasks of most post-translational modi?cations on proteins could only be ef?ciently carried out in mammalian cells. In the 1990s, we witnessed a rapid expansion of mammalian-cell-derived protein therapeutics, chie?y antibodies. In fact, it has been nearly a decade since the market value of mammalian-cell-derived protein therapeutics surpassed that of those produced from E. coli. A common characteristic of recent antibody products is the relatively large dose required for effective therapy, demanding larger quantities for the treatment of a given disease. This, coupled with the broadening repertoire of protein drugs, has rapidly expanded the quantity needed for clinical applications. The increasing demand for protein therapeutics has not been met exclusively by construction of new manufacturing plants and increasing total volume capacity. More - portantly the productivity of cell culture processes has been driven upward by an order of magnitude in the past decade.
Book Synopsis Translational Systems Biology: Concepts and Practice for the Future of Biomedical Research by : Yoram Vodovotz
Download or read book Translational Systems Biology: Concepts and Practice for the Future of Biomedical Research written by Yoram Vodovotz and published by Academic Press. This book was released on 2017-11-13 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are we satisfied with the rate of drug development? Are we happy with the drugs that come to market? Are we getting our money s worth in spending for basic biomedical research? In Translational Systems Biology, Drs. Yoram Vodovotz and Gary An address these questions by providing a foundational description the barriers facing biomedical research today and the immediate future, and how these barriers could be overcome through the adoption of a robust and scalable approach that will form the underpinning of biomedical research for the future. By using a combination of essays providing the intellectual basis of the Translational Dilemma and reports of examples in the study of inflammation, the content of Translational Systems Biology will remain relevant as technology and knowledge advances bring broad translational applicability to other diseases. Translational systems biology is an integrated, multi-scale, evidence-based approach that combines laboratory, clinical and computational methods with an explicit goal of developing effective means of control of biological processes for improving human health and rapid clinical application. This comprehensive approach to date has been utilized for in silico studies of sepsis, trauma, hemorrhage, and traumatic brain injury, acute liver failure, wound healing, and inflammation. Provides an explicit, reasoned, and systematic approach to dealing with the challenges of translational science across disciplines Establishes the case for including computational modeling at all stages of biomedical research and healthcare delivery, from early pre-clinical studies to long-term care, by clearly delineating efficiency and costs saving important to business investment Guides readers on how to communicate across domains and disciplines, particularly between biologists and computational researchers, to effectively develop multi- and trans-disciplinary research teams "
Book Synopsis Ovarian Cancer Immunotherapy by : Samir A. Farghaly
Download or read book Ovarian Cancer Immunotherapy written by Samir A. Farghaly and published by Oxford University Press. This book was released on 2018-08-31 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ovarian Cancer Immunotherapy provides a broad overview of several aspects of basic sciences, and clinical and therapeutic aspects of immunotherapy for ovarian cancer, as well as state-of-the-art information on molecular genetics and biology. Chapters are written by a team of expert contributors from around the world and explore topics such as antibody therapeutics for ovarian carcinoma, emerging serum biomarkers, ovarian cancer immunity, adoptive cell immunotherapy, the biology of dendritic cells, the role of growth factors, and more. Readers will also gain a better understanding of the molecular and cellular events that underlie ovarian cancer immunology. This book is an ideal resource for clinicians, basic medical scientists, graduate basic medical science students, and medical students caring for patients with ovarian cancer, including attending surgeons and physicians, and clinical fellows and residents in the disciplines of gynecologic oncology, medical oncology, and surgical oncology.
Book Synopsis Introduction to Mathematical Oncology by : Yang Kuang
Download or read book Introduction to Mathematical Oncology written by Yang Kuang and published by CRC Press. This book was released on 2016-04-05 with total page 469 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.
Book Synopsis Dynamics Of Cancer: Mathematical Foundations Of Oncology by : Dominik Wodarz
Download or read book Dynamics Of Cancer: Mathematical Foundations Of Oncology written by Dominik Wodarz and published by World Scientific. This book was released on 2014-04-24 with total page 533 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis The History of Oncology by : D. J. Th. Wagener
Download or read book The History of Oncology written by D. J. Th. Wagener and published by Bohn Stafleu van Loghum. This book was released on 2009-07-13 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: ‘The story of oncology is not only fascinating but also contains many accounts of dead ends, chance discoveries, illusions, mistakes and disappointments alongside the few successes.’These words are taken from the introduction to this book. The author, professor emeritus of Medical Oncology, reviews all aspects of the problem of cancer from a historical perspective, from the oldest existing records to the latest scientific and medical advances. It will interest the many people engaged in the treatment of cancer to read how the current therapeutic methods came about, and the book may also provide inspiration for cancer researchers, and for all those directly or indirectly involved with cancer. The layman looking for background information on a particular treatment may find it useful too. The various chapters can be read independently. A glossary and a few explanatory diagrams augment the text.This book grew out of an invitation the author received to lecture on the history of oncology. During his background reading, he discovered that there was no single volume dealing with the entire history of the subject. Fortunately, however, a great deal of information could be found here and there in the literature. As he read, he was struck by the fascinating stories behind many discoveries, and felt impelled to put them together in a single comprehensive account. The results of his labors are presented in this remarkable volume.The author, Prof. D.J.Th. (Theo) Wagener, was head of the department of Medical Oncology at the Radboud University Nijmegen Medical Centre in the Netherlands from 1982 to 2001, chairman of the Educational Committee of the European Society of Medical Oncology (ESMO), a member of the Educational Committee of the American Society of Clinical Oncology (ASCO) and a member of various international scientific working groups, mainly of the European Organization for Research and Treatment of Cancer (EORTC).
Book Synopsis Methods in Computational Biology by : Ross Carlson
Download or read book Methods in Computational Biology written by Ross Carlson and published by MDPI. This book was released on 2019-07-03 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern biology is rapidly becoming a study of large sets of data. Understanding these data sets is a major challenge for most life sciences, including the medical, environmental, and bioprocess fields. Computational biology approaches are essential for leveraging this ongoing revolution in omics data. A primary goal of this Special Issue, entitled “Methods in Computational Biology”, is the communication of computational biology methods, which can extract biological design principles from complex data sets, described in enough detail to permit the reproduction of the results. This issue integrates interdisciplinary researchers such as biologists, computer scientists, engineers, and mathematicians to advance biological systems analysis. The Special Issue contains the following sections: • Reviews of Computational Methods • Computational Analysis of Biological Dynamics: From Molecular to Cellular to Tissue/Consortia Levels • The Interface of Biotic and Abiotic Processes • Processing of Large Data Sets for Enhanced Analysis • Parameter Optimization and Measurement
Book Synopsis Nanopharmaceuticals: Principles and Applications Vol. 3 by : Vinod Kumar Yata
Download or read book Nanopharmaceuticals: Principles and Applications Vol. 3 written by Vinod Kumar Yata and published by Springer Nature. This book was released on 2020-08-19 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the third volume on this subject and focuses on the recent advances of nanopharmaceuticals in cancer, dental, dermal and drug delivery applications and presents their safety, toxicity and therapeutic efficacy. The book also includes the transport phenomenon of nanomaterials and important pathways for drug delivery applications. It goes on to explain the toxicity of nanoparticles to different physiological systems and methods used to assess this for different organ systems using examples of in vivo systems.
Book Synopsis Uncertainty in Pharmacology by : Adam LaCaze
Download or read book Uncertainty in Pharmacology written by Adam LaCaze and published by Springer Nature. This book was released on 2020-02-20 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume covers a wide range of topics concerning methodological, epistemological, and regulatory-ethical issues around pharmacology. The book focuses in particular on the diverse sources of uncertainty, the different kinds of uncertainty that there are, and the diverse ways in which these uncertainties are (or could be) addressed. Compared with the more basic sciences, such as chemistry or biology, pharmacology works across diverse observable levels of reality: although the first step in the causal chain leading to the therapeutic outcome takes place at the biochemical level, the end-effect is a clinically observable result—which is influenced not only by biological actions, but also psychological and social phenomena. Issues of causality and evidence must be treated with these specific aspects in mind. In covering these issues, the book opens up a common domain of investigation which intersects the deeply intertwined dimensions of pharmacological research, pharmaceutical regulation and the related economic environment. The book is a collective endeavour with in-depth contributions from experts in pharmacology, philosophy of medicine, statistics, scientific methodology, formal and social epistemology, working in constant dialogue across disciplinary boundaries.
Book Synopsis Concepts and Principles of Pharmacology by : James E. Barrett
Download or read book Concepts and Principles of Pharmacology written by James E. Barrett and published by Springer Nature. This book was released on 2019-12-24 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: Celebrating 100 years of HEP, this volume will discuss key pharmacological discoveries and concepts of the past 100 years. These discoveries have dramatically changed the medical treatment paradigms of many diseases and these concepts have and will continue to shape discovery of new medicinies. Newly evolving technologies will similarly be discussed as they will shape the future of the pharmacology and, accordingly, medical therapy.
Book Synopsis Organotypic Models in Drug Development by : Monika Schäfer-Korting
Download or read book Organotypic Models in Drug Development written by Monika Schäfer-Korting and published by Springer Nature. This book was released on 2021-03-25 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides latest findings in organotypic models in drug development and provides the scientific resonance needed in an emerging field of research in disciplines, such as molecular medicine, physiology, and pathophysiology. Today the research on human-based test systems has gained major interest and funding in the EU and the US has increased over the last years. Moreover, so-called 3R (reduce, replace, refine animal experiments) centres have been established worldwide.
Book Synopsis Mathematical Models of Cancer and Different Therapies by : Regina Padmanabhan
Download or read book Mathematical Models of Cancer and Different Therapies written by Regina Padmanabhan and published by Springer Nature. This book was released on 2020-10-31 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a unified framework for various currently available mathematical models that are used to analyze progression and regression in cancer development, and to predict its dynamics with respect to therapeutic interventions. Accurate and reliable model representations of cancer dynamics are milestones in the field of cancer research. Mathematical modeling approaches are becoming increasingly common in cancer research, as these quantitative approaches can help to validate hypotheses concerning cancer dynamics and thus elucidate the complexly interlaced mechanisms involved. Even though the related conceptual and technical information is growing at an exponential rate, the application of said information and realization of useful healthcare devices are lagging behind. In order to remedy this discrepancy, more interdisciplinary research works and course curricula need to be introduced in academic, industrial, and clinical organizations alike. To that end, this book reformulates most of the existing mathematical models as special cases of a general model, allowing readers to easily get an overall idea of cancer dynamics and its modeling. Moreover, the book will help bridge the gap between biologists and engineers, as it brings together cancer dynamics, the main steps involved in mathematical modeling, and control strategies developed for cancer management. This also allows readers in both medical and engineering fields to compare and contrast all the therapy-based models developed to date using a single source, and to identify unexplored research directions.
Download or read book Cancer Nanotechnology written by and published by Academic Press. This book was released on 2018-06-23 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Cancer Research, Volume 139, provides invaluable information on the exciting and fast-moving field of cancer research. Original reviews are presented on a variety of topics relating to the rapidly developing intersection between nanotechnology and cancer research, with unique sections in the new release focusing on Exosomes as a theranostic for lung cancer, Nanotechnology and cancer immunotherapy, Ultrasound imaging agents and delivery systems, Dendronized systems for the delivery of chemotherapeutics, Thermosensitive liposomes for image-guided drug delivery, Supramolecular Chemistry in Tumor Analysis and Drug Delivery, Gold nanoparticles for delivery of cancer therapeutics, and Single cell barcode microchip for cancer research and therapy. Provides the latest information on cancer research Offers outstanding and original reviews on a range of cancer research topics Serves as an indispensable reference for researchers and students alike
Book Synopsis Glioblastoma: State of the Art and Future Perspectives by : Ghazaleh Tabatabai
Download or read book Glioblastoma: State of the Art and Future Perspectives written by Ghazaleh Tabatabai and published by . This book was released on 2020 with total page 784 pages. Available in PDF, EPUB and Kindle. Book excerpt: Glioblastoma is an aggressive incurable primary tumor of the central nervous system. Median overall survival is in the range of 1.5 years even in selected clinical trials populations. Many features contribute to this therapeutic challenge including high intratumoral and intertumoral heterogeneity, resistance to therapy, migration and invasion, immunosuppression. With the access of novel highthroughput technologies, significant progress has been made to understand molecular and immunological signatures underlying the pathology of glioblastoma. Clinical trial designs have shifted from investigating broad “one-for-all” treatment approaches to precision oncology designs. The collection of contributions in this book aim at providing researchers and clinicians an update on different aspects of glioblastoma, i.e. progress in basic, preclinical and clinical research.
