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| cancer biology lecture notes: Computational Biology Of Cancer: Lecture Notes And Mathematical Modeling Dominik Wodarz, Natalia Komarova, 2005-01-24 The book shows how mathematical and computational models can be used to study cancer biology. It introduces the concept of mathematical modeling and then applies it to a variety of topics in cancer biology. These include aspects of cancer initiation and progression, such as the somatic evolution of cells, genetic instability, and angiogenesis. The book also discusses the use of mathematical models for the analysis of therapeutic approaches such as chemotherapy, immunotherapy, and the use of oncolytic viruses. |
| cancer biology lecture notes: Computational Biology of Cancer Dominik Wodarz, Natalia L. Komarova, 2005 - Provides an introduction to computational methods in cancer biology - Follows a multi-disciplinary approach |
| cancer biology lecture notes: Oncology Mark Bower, Jonathan Waxman, 2016-01-19 Cancer is one of the most exciting specialties in medicine. This book aspires to convey the authors' enthusiasm for oncology and this new edition of Oncology Lecture Notes is a must for students and trainees. There has been a revolution in the practice of oncology. The changes are due to amazing advances in basic science, and the development of new drugs and successful immunisation programmes that have followed. Cancer death rates have fallen and this is in part due to radical new treatments, effective screening programmes, and also, as a result of popular movements for change in patient care, and decreased exposure to carcinogens. Completely revised and updated, this new edition of Oncology Lecture Notes describes advances in molecular biology research and highlights the importance of patient perspectives in cancer care. The text includes many new figures and tables, an update of molecular biology and highlights new treatments. With learning objectives and key point summaries in each chapter, Oncology Lecture Notes is an ideal introduction to the biological basis and principles of treatment in oncology. Includes a companion website at www.lecturenoteseries.com/oncology featuring cases and self-assessment MCQs. |
| cancer biology lecture notes: Molecular Biology of the Cell , 2002 |
| cancer biology lecture notes: Oxford Textbook of Cancer Biology Francesco Pezzella, Mahvash Tavassoli, David J. Kerr, 2019-05-05 The study of the biology of tumours has grown to become markedly interdisciplinary, involving chemists, statisticians, epidemiologists, mathematicians, bioinformaticians, and computer scientists alongside biologists, geneticists, and clinicians. The Oxford Textbook of Cancer Biology brings together the most up-to-date developments from different branches of research into one coherent volume, providing a comprehensive and current account of this rapidly evolving field. Structured in eight sections, the book starts with a review of the development and biology of multi-cellular organisms, how they maintain a healthy homeostasis in an individual, and a description of the molecular basis of cancer development. The book then illustrates, as once cells become neoplastic, their signalling network is altered and pathological behaviour follows. It explores the changes that cancer cells can induce in nearby normal tissue, the new relationship established between them and the stroma, and the interaction between the immune system and tumour growth. The authors illustrate the contribution provided by high throughput techniques to map cancer at different levels, from genomic sequencing to cellular metabolic functions, and how information technology, with its vast amounts of data, is integrated with traditional cell biology to provide a global view of the disease. The effect of the different types of treatments on the biology of the neoplastic cells are explored to understand on the one side, why some treatments succeed, and on the other, how they can affect the biology of resistant and recurrent disease. The book concludes by summarizing what we know to date about cancer, and in what direction our understanding of cancer is moving. Edited by leading authorities in the field with an international team of contributors, this book is an essential resource for scholars and professionals working in the wide variety of sub-disciplines that make up today's cancer research and treatment community. It is written not only for consultation, but also for easy cover-to-cover reading. |
| cancer biology lecture notes: Mathematical and Computational Oncology George Bebis, Terry Gaasterland, Mamoru Kato, Mohammad Kohandel, Kathleen Wilkie, 2021-12-11 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. |
| cancer biology lecture notes: Mathematical Models in Cell Biology and Cancer Chemotherapy M Eisen, 1979-11-01 |
| cancer biology lecture notes: The Biology of Cancer Weinberg, Robert A., 2013-05-24 Incorporating the most important advances in the fast-growing field of cancer biology, the text maintains all of its hallmark features. It is admired by students, instructors, researchers, and clinicians around the world for its clear writing, extensive full-color art program, and numerous pedagogical features. |
| cancer biology lecture notes: Multiscale Models in Mechano and Tumor Biology Alf Gerisch, Raimondo Penta, Jens Lang, 2018-03-16 This book presents and discusses the state of the art and future perspectives in mathematical modeling and homogenization techniques with the focus on addressing key physiological issues in the context of multiphase healthy and malignant biological materials. The highly interdisciplinary content brings together contributions from scientists with complementary areas of expertise, such as pure and applied mathematicians, engineers, and biophysicists. The book also features the lecture notes from a half-day introductory course on asymptotic homogenization. These notes are suitable for undergraduate mathematics or physics students, while the other chapters are aimed at graduate students and researchers. |
| cancer biology lecture notes: Current Catalog National Library of Medicine (U.S.), 1993 First multi-year cumulation covers six years: 1965-70. |
| cancer biology lecture notes: Physics Of Cancer, The: Research Advances Bernard S Gerstman, 2020-12-03 Cancer deaths per capita have decreased in recent years, but the improvement is attributed to prevention, not treatment. The difficulty in treating cancer may be due to its 'complexity', in the mathematical physics sense of the word. Tumors evolve and spread in response to internal and external factors that involve feedback mechanisms and nonlinear behavior. Investigations of the nonlinear interactions among cells, and between cells and their environment, are crucial for developing a sufficiently detailed understanding of the system's emergent phenomenology to be able to control the behavior. In the case of cancer, controlling the system's behavior will mean the ability to treat and cure the disease. Physicists have been studying various complex, nonlinear systems for many years using a variety of techniques. These investigations have provided insights that allow physicists to make unique contributions towards the treatment of cancer.This interdisciplinary book presents recent advancements in physicists' research on cancer. The work presented in this volume uses a variety of physical, biochemical, mathematical, theoretical, and computational techniques to gain a deeper molecular and cellular understanding of the horrific disease that is cancer. |
| cancer biology lecture notes: Bioinformatics and Computational Biology Sanguthevar Rajasekaran, 2009-04-22 This book constitutes the refereed proceedings of the First International on Bioinformatics and Computational Biology, BICoB 2007, held in New Orleans, LA, USA, in April 2007. The 30 revised full papers presented together with 10 invited lectures were carefully reviewed and selected from 72 initial submissions. The papers address current research in the area of bioinformatics and computational biology fostering the advancement of computing techniques and their application to life sciences in topics such as genome analysis sequence analysis, phylogenetics, structural bioinformatics, analysis of high-throughput biological data, genetics and population analysis, as well as systems biology. |
| cancer biology lecture notes: Oncology at a Glance Graham G. Dark, 2013-03-07 Oncology at a Glance The market-leading at a Glance series is used world-wide by medical students, residents, junior doctors and health professionals for its concise and clear approach and superb illustrations. Each topic is presented in a double-page spread with clear, easy-to-follow diagrams, supported by succinct explanatory text. Covering the whole medical curriculum, these introductory texts are ideal for teaching, learning and exam preparation, and are useful throughout medical school and beyond. Everything you need to know about Oncology...at a Glance! This brand new title in the market-leading at a Glance series brings together fundamental information on cancer biology and treatment to provide a holistic understanding of oncology. It explores both relevant scientific content and key human issues, including communication and palliative care. Oncology at a Glance: Provides an accessible overview of the scientific foundation of cancer medicine Covers the common cancers as well as key information on presentation and approaches to investigation and management Includes young adult oncology, the multidisciplinary team, clinical trials in oncology, approach to treatment and response assessment, management of nausea, and end-of-life care Was developed with students for students, to ensure it contains exactly what students need to know Oncology at a Glance is an ideal guide for medical students and foundation-year doctors as well as any other healthcare professionals looking to consolidate their knowledge of oncology. All content reviewed by students for students Wiley-Blackwell Medical Education books are designed exactly for their intended audience. All our books are developed in collaboration with students, which means our books are always published with you, the student, in mind. If you would like to be one of our student reviewers, go to www.reviewmedicalbooks.com to find out more. |
| cancer biology lecture notes: Cancer Craig A. Almeida, Sheila A. Barry, 2011-08-26 “... Useful background information is displayed in blue boxes, and good use is made of numerous tables and diagrams... a useful book for the undergraduate medical or allied health professional...” –Oncology News, May/June 2010 This forward looking cancer biology book appeals to a wide ranging audience. Introductory chapters that provide the molecular, cellular, and genetic information needed to comprehend the material of the subsequent chapters bring unprepared students up to speed for the rest of the book and serve as a useful refresher for those with previous biology background. The second set of chapters focuses on the main cancers in terms of risk factors, diagnostic and treatment methods and relevant current research. The final section encompasses the immune system’s role in the prevention and development of cancer and the impact that the Human Genome Project will have on future approaches to cancer care. While best suited to non-majors cancer biology courses, the depth provided satisfies courses that combine both majors and non-majors. Also, and deliberately, the authors have incorporated relevant information on diagnosis and treatment options that lend appeal to the lay reader. |
| cancer biology lecture notes: Cybernetics And Systems '90 - Proceedings Of The Tenth European Meeting On Cybernetics And Systems Research Robert Trappl, 1990-03-01 Contents:How Many Demons Do We Need? Endophysical Self-Creation of Material Structures and the Exophysical Mystery of Universal Libraries (G Kampis & O E Rössler)Some Implications of Re-Interpretation of the Turing Test for Cognitive Science and Artificial Intelligence (G Werner)Why Economic Forecasts will be Overtaken by the Facts (J D M Kruisinga)Simulation Methods in Peace and Conflict Research (F Breitenecker et al)Software Development Paradigms: A Unifying Concept (G Chroust)Hybrid Hierarchies: A Love-Hate Relationship Between ISA and SUPERC (D Castelfranchi & D D'Aloisi)AI for Social Citizenship: Towards an Anthropocentric Technology (K S Gill)Organizational Cybernetics and Large Scale Social Reforms in the Context of Ongoing Developments (E Bekjarov & A Athanassov)China's Economic Reform and its Obstacles: Challenges to a Large-Scale Social Experiment (J Hu & X Sun)Comparing Conceptual Systems: A Strategy for Changing Values as well as Institutions (S A Umpleby)and others Readership: Researchers in the fields of cybernetics and systems, artificial intelligence, economics and mathematicians. |
| cancer biology lecture notes: The Basic Science of Oncology Ian Tannock, 2005 This concise text examines cancer causation and biology as well as the biology underlying cancer treatment. Thoroughly updated and reorganized with five new chapters, the Fourth Edition emphasizes new development in molecular biology, hormone therapy, and the pharmacology of anti-cancer drugs. Features updated coverage of the basic science of radiotherapy and experimental radiation in addition to expansive coverage of new drugs developments. |
| cancer biology lecture notes: Lecture Notes: Oncology Mark Bower, Jonathan Waxman, 2015-10-01 Cancer is one of the most exciting specialties in medicine. This book aspires to convey the authors’ enthusiasm for oncology and this new edition of Oncology Lecture Notes is a must for students and trainees. There has been a revolution in the practice of oncology. The changes are due to amazing advances in basic science, and the development of new drugs and successful immunisation programmes that have followed. Cancer death rates have fallen and this is in part due to radical new treatments, effective screening programmes, and also, as a result of popular movements for change in patient care, and decreased exposure to carcinogens. Completely revised and updated, this new edition of Oncology Lecture Notes describes advances in molecular biology research and highlights the importance of patient perspectives in cancer care. The text includes many new figures and tables, an update of molecular biology and highlights new treatments. With learning objectives and key point summaries in each chapter, Oncology Lecture Notes is an ideal introduction to the biological basis and principles of treatment in oncology. Includes a companion website at www.lecturenoteseries.com/oncology featuring cases and self-assessment MCQs |
| cancer biology lecture notes: Dynamics Of Cancer: Mathematical Foundations Of Oncology Dominik Wodarz, Natalia Komarova, 2014-04-24 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. |
| cancer biology lecture notes: Pancreatic Cancer Gloria H. Su, 2008-02-01 Pancreatic ductal adenocarcinoma is the fourth leading cause of cancer death in the United States. Annually approximately 30,000 Americans are diagnosed with the disease and most will die from it within five years. P- creatic ductal adenocarcinoma is unique because of its late onset in age, high mortality, small tumor samples infiltrated with normal cells, and a lack of both early detection and effective therapies. Some of these characteristics have made studying this disease a challenge. Pancreatic cancer develops as a result of the accumulation of genetic alterations in cancer-causing genes, such as the oncogenes and the tumor-s- pressor genes. In the last decade, major progress has been made in identifying important oncogenes and tumor-suppressor genes for the disease. In Panc- atic Cancer: Methods and Protocols, we review the classical techniques that have contributed to the advances in pancreatic research and introduce new strategies that we hope will add to future breakthroughs in the field of cancer biology. Pancreatic Cancer: Methods and Protocols provides a broad range of protocols for molecular, cellular, pathological, and statistical analyses of s- radic and familial pancreatic cancer. It covers topics from in vitro cell c- tures to in vivo mouse models, DNA to protein manipulation, and mutation analyses to treatment development. We believe that our book will prove an invaluable source of proven protocols for those who are interested in either basic or translational research in pancreatic cancer. |
| cancer biology lecture notes: Global Oncology: Harvard Global Wilfred Ngwa, 2017-08-30 The material presented in this book is at the cutting-edge of global oncology and provides highly illuminating examples, addresses frequently asked questions, and provides information and a reference for future work in global oncology care, research, education, and outreach. |
| cancer biology lecture notes: Optimal Control for Mathematical Models of Cancer Therapies Heinz Schättler, Urszula Ledzewicz, 2015-09-15 This book presents applications of geometric optimal control to real life biomedical problems with an emphasis on cancer treatments. A number of mathematical models for both classical and novel cancer treatments are presented as optimal control problems with the goal of constructing optimal protocols. The power of geometric methods is illustrated with fully worked out complete global solutions to these mathematically challenging problems. Elaborate constructions of optimal controls and corresponding system responses provide great examples of applications of the tools of geometric optimal control and the outcomes aid the design of simpler, practically realizable suboptimal protocols. The book blends mathematical rigor with practically important topics in an easily readable tutorial style. Graduate students and researchers in science and engineering, particularly biomathematics and more mathematical aspects of biomedical engineering, would find this book particularly useful. |
| cancer biology lecture notes: An Introduction to Physical Oncology Vittorio Cristini, Eugene Koay, Zhihui Wang, 2017-06-26 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. |
| cancer biology lecture notes: Branching Processes in Biology Marek Kimmel, David E. Axelrod, 2006-05-26 In this book biological examples of Branching Processes are introduced from molecular and cellular biology as well as from the fields of human evolution and medicine and discussed in the context of the relevant mathematics, providing a useful introduction on how the modelling can be done and for what types of problems branching processes can be useful. As an aid to understanding specific examples, two introductory chapters provide background material in mathematics and biology. This book will interest scientists who work in quantitative modelling of biological systems, particularly probabilists, mathematical biologists, biostatisticians, and cell and molecular biologists and bioinformaticians. The authors of this monograph are a mathematician and a cell biologist who have collaborated in the field of Branching Processes for more than a decade. |
| cancer biology lecture notes: Systems Biology of Cancer Sam Thiagalingam, 2015-04-09 An overview of the current systems biology-based knowledge and the experimental approaches for deciphering the biological basis of cancer. |
| cancer biology lecture notes: Applications of Membrane Computing in Systems and Synthetic Biology Pierluigi Frisco, Marian Gheorghe, Mario J. Pérez-Jiménez, 2013-12-17 Membrane Computing was introduced as a computational paradigm in Natural Computing. The models introduced, called Membrane (or P) Systems, provide a coherent platform to describe and study living cells as computational systems. Membrane Systems have been investigated for their computational aspects and employed to model problems in other fields, like: Computer Science, Linguistics, Biology, Economy, Computer Graphics, Robotics, etc. Their inherent parallelism, heterogeneity and intrinsic versatility allow them to model a broad range of processes and phenomena, being also an efficient means to solve and analyze problems in a novel way. Membrane Computing has been used to model biological systems, becoming with time a thorough modeling paradigm comparable, in its modeling and predicting capabilities, to more established models in this area. This book is the result of the need to collect, in an organic way, different facets of this paradigm. The chapters of this book, together with the web pages accompanying them, present different applications of Membrane Systems to Biology. Deterministic, non-deterministic and stochastic systems paired with different algorithms and methodologies show the full potential of this framework. The book is addressed to researchers interested in applications of discrete biological models and the interplay between Membrane Systems and other approaches to analyze complex systems. |
| cancer biology lecture notes: The Cell Cycle and Cancer Renato Baserga, 1971 |
| cancer biology lecture notes: National Library of Medicine Current Catalog National Library of Medicine (U.S.), |
| cancer biology lecture notes: Encyclopedia of Cell Biology , 2015-08-07 The Encyclopedia of Cell Biology, Four Volume Set offers a broad overview of cell biology, offering reputable, foundational content for researchers and students across the biological and medical sciences. This important work includes 285 articles from domain experts covering every aspect of cell biology, with fully annotated figures, abundant illustrations, videos, and references for further reading. Each entry is built with a layered approach to the content, providing basic information for those new to the area and more detailed material for the more experienced researcher. With authored contributions by experts in the field, the Encyclopedia of Cell Biology provides a fully cross-referenced, one-stop resource for students, researchers, and teaching faculty across the biological and medical sciences. Fully annotated color images and videos for full comprehension of concepts, with layered content for readers from different levels of experience Includes information on cytokinesis, cell biology, cell mechanics, cytoskeleton dynamics, stem cells, prokaryotic cell biology, RNA biology, aging, cell growth, cell Injury, and more In-depth linking to Academic Press/Elsevier content and additional links to outside websites and resources for further reading A one-stop resource for students, researchers, and teaching faculty across the biological and medical sciences |
| cancer biology lecture notes: Deep Learning for Biomedical Applications Utku Kose, Omer Deperlioglu, D. Jude Hemanth, 2021-07-19 This book is a detailed reference on biomedical applications using Deep Learning. Because Deep Learning is an important actor shaping the future of Artificial Intelligence, its specific and innovative solutions for both medical and biomedical are very critical. This book provides a recent view of research works on essential, and advanced topics. The book offers detailed information on the application of Deep Learning for solving biomedical problems. It focuses on different types of data (i.e. raw data, signal-time series, medical images) to enable readers to understand the effectiveness and the potential. It includes topics such as disease diagnosis, image processing perspectives, and even genomics. It takes the reader through different sides of Deep Learning oriented solutions. The specific and innovative solutions covered in this book for both medical and biomedical applications are critical to scientists, researchers, practitioners, professionals, and educations who are working in the context of the topics. |
| cancer biology lecture notes: Exploring Noninvasive Disease Biomarkers with Urinary Omics Analysis Arup Giri, Indu Sharma, Rani Ojha, 2025-05-30 Exploring Noninvasive Disease Biomarkers with Urinary Omics Analysis offers a transformative journey into the world of non-invasive diagnostics. This comprehensive volume delves into the molecular foundations of urinary biomarkers, illuminating the intricate signatures that indicate various pathological conditions and elucidating the mechanisms behind their release into urine. Readers will gain invaluable insights into cutting-edge analytical technologies, methodologies, and data integration techniques essential for biomarker discovery. From genomic approaches to transcriptomics, proteomics, and metabolomics, each chapter provides a thorough examination of the latest advancements, accompanied by practical guidance and case studies showcasing their clinical applications across diverse health conditions.In addition to the foundational knowledge, the book highlights the clinical applications of urinary omics in diagnosing renal disorders, metabolic syndromes, and infectious diseases. It equips professionals and students with the tools needed to navigate the complexities of urinary omics, revolutionize personalized medicine, and advance transformative healthcare solutions. The practical guidance and case studies included in the book make it an invaluable resource for those looking to implement these advanced diagnostic techniques in clinical settings. - Provides a comprehensive exploration of urinary omics, including an in-depth analysis of genomics, proteomics, and metabolomics - Highlights advances in analytical technologies for analyzing urinary biomarkers, offering a comprehensive overview - Elucidates clinical application across health conditions, highlighting a holistic examination of urine's potential as a diagnostic reservoir |
| cancer biology lecture notes: Phytomedicine VEN HARI, 2020-12-02 This compendium on tested and approved medicinal plant drugs and potential for new drugs from plants based on ethno pharmacological and anecdotal reports is a collection of critical information on the biology, chemistry and brief descriptions of the known and potential medicinal values of plants. This book is a storehouse of information on medicinal plants collected from many sources in readable language that will be useful for laymen, students, academics, drug developers, drug formulators and businesses interested in alternative and holistic medicine. This book also helps the readers to understand the basics of the biology of Cancer, Cardiovascular, Urinogenital, Ear Nose and throat, Eye, Brain and central nervous system, dermal, microbial and the interrelations of these human anatomical systems. This book will serve as a guide, a reference and source book and a good book for all who are interested in knowing the why and how of Phytomedicine : Herbal medicine and the opportunities that exist to find new ways of dealing with health issues. |
| cancer biology lecture notes: Spatial Statistics and Imaging Antonio Possolo, 1991 |
| cancer biology lecture notes: Molecular Biology - Not Only for Bioinformaticians Wiesława Widłak, 2013-12-05 Bioinformatics, which can be defined as the application of computer science and information technology to the field of biology and medicine, has been rapidly developing over the past few decades. It generates new knowledge as well as the computational tools to create that knowledge. Understanding the basic processes in living organisms is therefore indispensable for bioinformaticians. This book addresses beginners in molecular biology, especially computer scientists who would like to work as bioinformaticians. It presents basic processes in living organisms in a condensed manner. Additionally, principles of several high-throughput technologies in molecular biology, which need the assistance of bioinformaticians, are explained from a biological point of view. It is structured in the following 9 chapters: cells and viruses; protein structure and function; nucleic acids; DNA replication, mutations, and repair; transcription and posttranscriptional processes; synthesis and posttranslational modifications of proteins; cell division; cell signaling pathways; and high-throughput technologies in molecular biology. |
| cancer biology lecture notes: Principles and Practice of Surgical Oncology Howard Silberman, Allan W. Silberman, 2009-09-01 Principles and Practice of Surgical Oncology uniquely emphasizes a multidisciplinary, integrated approach to the treatment of solid tumors. It presents treatment strategies that combine surgery with preoperative or postoperative adjunctive chemotherapy, hormonal therapy, and/or radiation therapy to achieve optimal outcome. The book features contributions from surgeons, basic scientists, pathologists, radiologists, radiation therapists, and medical oncologists and offers a comprehensive presentation of genetics, molecular biology, pathogenesis, and multimodal therapeutic approaches. A unique feature of the book is a commentary following each chapter, which describes alternative approaches and discusses controversial areas of current therapy. A companion Website will offer the fully searchable text with images. |
| cancer biology lecture notes: An Omics Perspective on Cancer Research William C.S. Cho, 2010-04-07 Omics is an emerging and exciting area in the field of science and medicine. Numerous promising developments have been elucidated using omics (including genomics, transcriptomics, epigenomics, proteomics, metabolomics, interactomics, cytomics and bioinformatics) in cancer research. The development of high-throughput technologies that permit the solution of deciphering cancer from higher dimensionality will provide a knowledge base which changes the face of cancer understanding and therapeutics. This is the first book to provide such a comprehensive coverage of a rapidly evolving area written by leading experts in the field of omics. It complies and details cutting-edge cancer research that covers the broad advances in the field and its application from cancer-associated gene discovery to drug target validation. It also highlights the potential of using integration approach for cancer research. This unique and timely book provides a thorough overview of developing omics, which will appeal to anyone involved in cancer research. It will be a useful reference book for graduate students of different subjects (medicine, biology, engineering, etc) and senior scientists interested in the fascinating area of advanced technologies in cancer research. Readership: This is a precious book for all types of readers – cancer researchers, oncologists, pathologists, biologists, clinical chemists, pharmacologists, pharmaceutical specialists, biostatisticians, and bioinformaticists who want to expand their knowledge in cancer research. |
| cancer biology lecture notes: Informatics in Radiation Oncology George Starkschall, R. Alfredo C. Siochi, 2013-09-05 Reflecting the increased importance of the collaborations between radiation oncology and informatics professionals, Informatics in Radiation Oncology discusses the benefits of applying informatics principles to the processes within radiotherapy. It explores how treatment and imaging information is represented, stored, and retrieved as well as how this information relates to other patient data. The book deepens your knowledge of current and emerging information technology and informatics principles applied to radiation oncology so that all the data gathered—from laboratory results to medical images—can be fully exploited to make treatments more effective and processes more efficient. After introducing the basics of informatics and its connection to radiation oncology, the book examines the process of healthcare delivery in radiation oncology, the challenges of managing images in radiotherapy, and the burgeoning field of radiogenomics. It then presents teaching, clinical trials, and research tools and describes open access clinical imaging archives in radiotherapy, techniques for maximizing information from multimodality imaging, and the roles of images in treatment planning. It also looks at how informatics can improve treatment planning, the safety and efficiency of delivery systems, image-guided patient positioning, and patient assessment. The book concludes with discussions on how outcomes modeling evaluates the effectiveness of treatments, how quality control informatics improves the reliability of processes, and how to perform quality assurance on the informatics tools. With contributions from a host of top international experts in radiation oncology, medical physics, and informatics, this book leads the way in moving the field forward. It encourages you to find new ways of applying informatics to radiation oncology and help your patients in their fight against cancer. |
| cancer biology lecture notes: Spatial Complexity Fivos Papadimitriou, 2020-11-02 This book delivers stimulating input for a broad range of researchers, from geographers and ecologists to psychologists interested in spatial perception and physicists researching in complex systems. How can one decide whether one surface or spatial object is more complex than another? What does it require to measure the spatial complexity of small maps, and why does this matter for nature, science and technology? Drawing from algorithmics, geometry, topology, probability and informatics, and with examples from everyday life, the reader is invited to cross the borders into the bewildering realm of spatial complexity, as it emerges from the study of geographic maps, landscapes, surfaces, knots, 3D and 4D objects. The mathematical and cartographic experiments described in this book lead to hypotheses and enigmas with ramifications in aesthetics and epistemology. |
| cancer biology lecture notes: Epigenomics, from Chromatin Biology to Therapeutics Krishnarao Appasani, 2012 Experts from academia, the biotechnology and pharmaceutical industries introduce biological, medical and methodological aspects of the emerging field of epigenomics. |
| cancer biology lecture notes: A Critical Reflection on Automated Science Marta Bertolaso, Fabio Sterpetti, 2020-02-05 This book provides a critical reflection on automated science and addresses the question whether the computational tools we developed in last decades are changing the way we humans do science. More concretely: Can machines replace scientists in crucial aspects of scientific practice? The contributors to this book re-think and refine some of the main concepts by which science is understood, drawing a fascinating picture of the developments we expect over the next decades of human-machine co-evolution. The volume covers examples from various fields and areas, such as molecular biology, climate modeling, clinical medicine, and artificial intelligence. The explosion of technological tools and drivers for scientific research calls for a renewed understanding of the human character of science. This book aims precisely to contribute to such a renewed understanding of science. |
| cancer biology lecture notes: Advances in Applied Self-Organizing Systems Mikhail Prokopenko, 2014-07-08 How do we design a self-organizing system? Is it possible to validate and control non-deterministic dynamics? What is the right balance between the emergent patterns that bring robustness, adaptability and scalability, and the traditional need for verification and validation of the outcomes? The last several decades have seen much progress from original ideas of “emergent functionality” and “design for emergence”, to sophisticated mathematical formalisms of “guided self-organization”. And yet the main challenge remains, attracting the best scientific and engineering expertise to this elusive problem. This book presents state-of-the-practice of successfully engineered self-organizing systems, and examines ways to balance design and self-organization in the context of applications. As demonstrated in this second edition of Advances in Applied Self-Organizing Systems, finding this balance helps to deal with practical challenges as diverse as navigation of microscopic robots within blood vessels, self-monitoring aerospace vehicles, collective and modular robotics adapted for autonomous reconnaissance and surveillance, self-managing grids and multiprocessor scheduling, data visualization and self-modifying digital and analog circuitry, intrusion detection in computer networks, reconstruction of hydro-physical fields, traffic management, immunocomputing and nature-inspired computation. Many algorithms proposed and discussed in this volume are biologically inspired, and the reader will also gain an insight into cellular automata, genetic algorithms, artificial immune systems, snake-like locomotion, ant foraging, birds flocking, neuromorphic circuits, amongst others. Demonstrating the practical relevance and applicability of self-organization, Advances in Applied Self-Organizing Systems will be an invaluable tool for advanced students and researchers in a wide range of fields. |
Cancer - World Health Organization (WHO)
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Cancer - World Health Organization (WHO)
Jun 5, 2025 · Cancer is the second leading cause of death globally, accounting for an estimated 9.6 million deaths, or 1 in 6 deaths, in 2018. Lung, prostate, colorectal, stomach and liver …
Cáncer - World Health Organization (WHO)
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El cáncer de pulmón es un tipo de cáncer que comienza cuando células anormales crecen sin control en los pulmones. Es un importante problema de salud que puede causar daños graves …
