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1-10 of 427 results in All results

Encyclopedia of Bioinformatics and Computational Biology

  • 2nd Edition
  • March 22, 2025
  • Shoba Ranganathan + 2 more
  • English
  • Hardback
    9 7 8 - 0 - 3 2 3 - 9 5 5 0 2 - 7
  • eBook
    9 7 8 - 0 - 3 2 3 - 9 5 5 0 3 - 4
Bioinformatics and Computational Biology (BCB) combine elements of computer science, information technology, mathematics, statistics, and biotechnology, providing the methodology and in silico solutions to mine biological data and processes, for knowledge discovery. In the era of molecular diagnostics, targeted drug design, translational medicine and Big Data for personalized medicine, computational methods for data analysis are essential tools for biochemistry, biology, biotechnology, pharmacology, biomedical and computer science, as well as mathematics and statistics. New areas are emerging, and relatively isolated fields are becoming current hot research areas in BCB, such as Artificial Intelligence, Quantitative Biology, Computational Vaccinology, Epidemiology and Infection Diffusion, Synthetic Biology, and Phenomics. The role of BCB in characterizing SARS-CoV-2 variants and facing the COVID-19 pandemic is just one example of how these tools can help us better prepare for such future events. This Encyclopedia comprises three sections, covering Methods, Topics, and Applications. The methodologies and algorithms underpinning BCB are described in the Methods section; Topics covers traditional areas such as phylogeny, as well as more recent areas such as translational bioinformatics, cheminformatics and environmental informatics; Applications provides guidance for commonly asked “how to” questions. Navigating the maze of confusing jargon and the plethora of software tools is often confronting for students and researchers alike. This comprehensive and unique resource provides up-to-date theory and application content to address molecular data analysis requirements, with precise definitions of terminology and lucid explanations by field experts.

Agent-Based Models with MATLAB

  • 1st Edition
  • January 1, 2025
  • Erik Cuevas + 3 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 4 0 0 4 - 1
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 4 0 0 5 - 8
As the world becomes more complicated and linked, many of our research questions can no longer be answered using straightforward models. Agent-Based Models with MATLAB introduces one of the most important methodologies for complex systems modeling, called Agent-Based Modeling (ABM), using computational implementations and accompanying MATLAB software code as a means of inspiring readers to apply agent-based models to solve a diverse range of problems. Observing the implementation of a particular approach through code can be helpful for readers, even those with strong mathematical abilities, as it eliminates ambiguities and uncertainties, making the material easier to grasp and communicate. The book comes with a large amount of software code accompanying the main text, and the modeling systems described in the book are implemented using MATLAB as the programming language. Despite the heavy mathematical components of Agent-Based Models and complex systems, it is possible to utilize these models without in-depth understanding of their mathematical fundamentals. For many readers, a more feasible goal is to grasp the concepts of these models through programming instead of mathematical formulations. Agent-Based Models with MATLAB enables computer scientists, mathematicians, researchers and engineers to apply ABM in a wide range of research and engineering applications. The book gradually advances from basic to more advanced methods, while reinforcing understanding of complex systems through practical, hands-on applications of various computational models.

Fixed Point Optimization Algorithms and Their Applications

  • 1st Edition
  • January 1, 2025
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 3 3 5 8 6 - 0
  • eBook
    9 7 8 - 0 - 4 4 3 - 3 3 5 8 7 - 7
Fixed Point Optimization Algorithms and Their Applications discusses how the relationship between fixed point algorithms and optimization problems is connected and demonstrates hands-on applications of the algorithms in fields such as image restoration, signal recovery, and machine learning. The author presents algorithms for non-expansive and generalized non-expansive mappings in Hilbert space, and includes solutions to many optimization problems across a range of scientific research and real-world applications. From foundational concepts, the book proceeds to present a variety of optimization algorithms, including fixed point theories, convergence theorems, variational inequality problems, minimization problems, split feasibility problems, variational inclusion problems, and equilibrium problems.This book will equip readers with the theoretical mathematics background and necessary tools to tackle challenging optimization problems involving a range of algebraic methods, empowering them to apply these techniques in their research, professional work, or academic pursuits.

Advances in Cancer Biomarkers Research

  • 1st Edition
  • December 2, 2024
  • Anand Narayan Singh + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 3 2 3 - 9 5 2 5 8 - 3
  • eBook
    9 7 8 - 0 - 3 2 3 - 9 5 2 5 9 - 0
Advances in Cancer Biomarkers Research provides a thorough and detailed description of cancer biomarkers for diagnostic, prognostic and therapeutics in several cancer types. The book presents a compendium of topics related to current advanced research, along with fundamental knowledge that will help readers fully comprehend the field of cancer biomarkers. Topics discussed include such the role of genetic mechanisms, epigenetics, DNA and microRNA in different cancers, signaling pathways and exosomes. In addition, the book discusses biomarker research applied to several cancer types, such as head and neck, urological, lung, bone tumors, hematological and neurological malignancies and breast cancers.This will be a valuable resource for cancer researchers, oncologists, graduate students and members of the biomedical field who are interested in the potential of biomarkers in cancer research and treatment.

Systematic Review and Meta-Analysis

  • 1st Edition
  • December 1, 2024
  • Mahsa Ghajarzadeh + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 3 4 2 8 - 9
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 3 4 2 7 - 2
Systematic Review and Meta-Analysis: Stepwise Approach for Medical and Biomedical Researchers presents a step-by-step approach to develop systematic reviews and meta-analysis for biomedical and medical research. Systematic reviews are the highest quality evidence in medical research, providing an answer to a specific question, and they can be developed in the form of comprehensive literature search, critical appraisal, and synthesis of the evidence. Systematic reviews and meta-analysis are key elements of evidence-based medicine by summarizing the results of previous studies with the use of specific and reliable methods.Initially, systematic review and meta-analysis were exclusive to clinical trials, however systematic reviews of observational and diagnostic studies have expanded, making it essential for members of the field to master those techniques. This practical reference is a valuable resource for biostaticians, researchers, students, and members of medical and biomedical fields who need to understand more about systematic reviews and meta-analysis in their research work.

Medical Oncology Compendium

  • 1st Edition
  • December 1, 2024
  • Ramon Andrade B de Mello
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 5 6 0 9 - 0
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 5 6 0 8 - 3
Medical Oncology Compendium discusses several important topics in oncology with the help of leading experts worldwide who incorporate not only knowledge on recent developments in the field, but contextualize them within diverse socioeconomic environments to guarantee the applicability of the content in challenging scenarios. The book comprehensively discusses topics such as surgery, radiology, carcinogenesis, screening, assessment tools, evidence-based medicine, and precision oncology as applicable to different cancer types as non-small and small cell lung cancer, mesothelioma, breast cancer, gastric-rectal cancer, female specific cancers, prostate, skin and bone sarcomas.In addition, it discusses options to minimize oncology pain and palliative care. It is a valuable resource for oncologists, clinicians, researchers, healthcare workers and members of biomedical field who needs to understand more about diagnosis, treatment options and support for cancer patients.

Therapeutic Applications of Nitric Oxide in Cancer and Inflammatory Disorders

  • 1st Edition
  • November 22, 2024
  • Valentina Rapozzi + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 2 3 5 4 - 9
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 2 3 5 5 - 6
Therapeutic Applications of Nitric Oxide in Cancer and Inflammatory Disorders presents updated information on the chemistry, signaling of newly derived therapeutic nitric oxide donors/inhibitors, and their complexes in liposomes or nanospheres in both pre-clinical and clinical investigations.The book consists of the following: The program and abstracts presented at the Third International Conference in Udine, Italy, September 3-5, 2023; Parts I-V reviews on (I) the general properties of nitric oxide in diseases (II) the role of nitric oxide in cancer (III) nitric oxide and immunity (IV) nitric oxide and aging and (V) nitric oxide and therapeutics. In addition, part VI is an educational review on artificial intelligence and its application in diseases. These updated reviews present many examples of research investigations related to the application of novel therapeutic compounds on nitric oxide and new derivatives, as well as their significant therapeutic activities against various resistant cancers that are unresponsive to current treatments and in different inflammatory diseases.The book is a valuable resource for cancer researchers, oncologists, graduate students, and investigators from medical and biomedical fields who want to learn more about NO and its therapeutic applications in cancer and inflammatory diseases. The book is also highly useful for both clinicians and oncologists as well as pharmaceutical companies involved in the development of new anticancer/anti-inflammatory agents.

A Practical Introduction to Virtual Reality

  • 1st Edition
  • October 11, 2024
  • Lori Rebenitsch + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 4 0 3 6 - 5
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 4 0 3 7 - 2
A Practical Introduction to Virtual Reality: From Concepts to Executables is written for the undergraduate computer science student taking a course in virtual reality. This tutorial-based text is organized so that by the end of the semester students will have created their first VR game, including sound and various interactions. The materials are written from the position of the student and the student’s professor as opposed to the professional with prior graphics experience.Beginning with an introductory chapter covering the ten universal basics necessary for VR coding, the book moves on to such topics as putting together a VR set-up, creating Heads Up displays, building scene trees, learning how to import 3D models and animations, lighting and audio, and more, until by the end of the book, students will have a final project game ready for beta testing and publishing!

Computational Modeling Applications for Climate Crisis

  • 1st Edition
  • October 7, 2024
  • Utku Kose + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 1 9 0 5 - 4
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 1 9 0 6 - 1
Computational Modeling Applications for Climate Crisis provides readers with innovative research on the applications of computational modeling to moderate climate change. The book begins with an overview and history of climate change, followed by several chapters covering the concepts of computational modeling and simulation, including parameters of climate change, modeling the effects of human activities, visualization tools, and data fusion for advanced modeling applications. It then proceeds to cover decision support systems, modeling of technological solutions for climate change, modeling of greenhouse gas emissions, tracking of climate factors, and modeling of earth resources. In the final chapters of the book, the authors cover nation-based outcomes, big data, and optimization solutions with real-world data and case studies. Climate change is one of the most pressing existential issues for humans and the planet, and this book covers leading-edge applications of computational modeling to the vast array of interdisciplinary factors and challenges posed by climate change. As life itself is a mixture of occurrences that can be mathematically modelled, it is important to work with specific parameters, which are critical for monitoring and controlling the dynamics of the earth, natural resources, technological factors, and human activities.

The Evolution of Immunotherapy Against Tumors

  • 1st Edition
  • August 27, 2024
  • Domenico Ribatti
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 1 7 9 8 - 2
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 1 7 9 9 - 9
The Evolution of Immunotherapy Against Tumors: An Historical Approach summarizes the literature concerning the development of the theory of immune surveillance against tumors. It discusses the evidence for and against this theory, along with the concept of immunoediting. Finally, current approaches in anti-tumor immunotherapy will be analyzed.The immune system plays a major role in the surveillance against tumors. To avoid attack from the immune system, tumor cells develop different strategies to escape immune surveillance. Evidence of immune surveillance comes from both animal models and clinical observations. Mice with a wide variety of immunodeficiencies have a high rate of tumor incidence and are more susceptible to transplanted or chemical carcinogen-induced tumors. Immunosuppressed patients have a high incidence of tumors. However, many patients develop cancer even in the presence of an apparently normal immune system. This indicates that tumor cells can escape immune surveillance.

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