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This book presents a collection of high-quality research papers, presented at the Second International Symposium on Bioinformatics and Biomedicine (BioInfoMed’2022). It offers a comprehensive look into some of the fastest growing fields of science, such as biomedicine, bioinformatics, artificial intelligence, and mathematical modeling. The different chapters of the work include both practical solutions and strictly scientific considerations expanding knowledge about the future bioinformatics and biomedical engineering challenges. We believe that the presented works will have a great impact not only on the development and the application of new methods for modeling, decision making and data mining in healthcare and biomedicine, but also it will provide a source of inspiration for researchers who can implement the proposed methods into their practice and scientific studies.
In Silico Chemistry and Biology: Current and Future Prospects provides a compact overview on recent advances in this highly dynamic branch of chemistry. Various methods of protein modelling and computer-assisted drug design are presented, including fragment- and ligand-based approaches. Many successful practical applications of these techniques are demonstrated. The authors also look to the future and describe the main challenges of the field.
This volume is a brief, yet comprehensive account of new development, tools, techniques and solutions in the broadly perceived “intelligent systems”. New concepts and ideas concern the development of effective and efficient models which would make it possible to effectively and efficiently describe and solve processes in various areas of science and technology. Special emphasis is on the dealing with uncertainty and imprecision that permeates virtually all real world processes and phenomena, and has to properly be modeled by formal and algorithmic tools and techniques so that they be adequate and useful. The papers in this volume concern a wide array of possible techniques exemplified by, on the one hand, logic, probabilistic, fuzzy, intuitionistic fuzzy, neuro-fuzzy, etc. approaches. On the other hand, they represent the use of such systems modeling tools as generalized nets, optimization and control models, systems analytic models, etc. They concerns a variety of approaches, from pattern recognition, image analysis, education system modeling, biological and medical systems modeling, etc.
This book is designed to introduce biologists, clinicians and computational researchers to fundamental data analysis principles, techniques and tools for supporting the discovery of biomarkers and the implementation of diagnostic/prognostic systems. The focus of the book is on how fundamental statistical and data mining approaches can support biomarker discovery and evaluation, emphasising applications based on different types of "omic" data. The book also discusses design factors, requirements and techniques for disease screening, diagnostic and prognostic applications. Readers are provided with the knowledge needed to assess the requirements, computational approaches and outputs in disease biomarker research. Commentaries from guest experts are also included, containing detailed discussions of methodologies and applications based on specific types of "omic" data, as well as their integration. Covers the main range of data sources currently used for biomarker discovery Covers the main range of data sources currently used for biomarker discovery Puts emphasis on concepts, design principles and methodologies that can be extended or tailored to more specific applications Offers principles and methods for assessing the bioinformatic/biostatistic limitations, strengths and challenges in biomarker discovery studies Discusses systems biology approaches and applications Includes expert chapter commentaries to further discuss relevance of techniques, summarize biological/clinical implications and provide alternative interpretations
This volume constitutes the proceedings of the 8th International Work-Conference on IWBBIO 2020, held in Granada, Spain, in May 2020. The total of 73papers presented in the proceedings, was carefully reviewed and selected from 241 submissions. The papers are organized in topical sections as follows: Biomarker Identification; Biomedical Engineering; Biomedical Signal Analysis; Bio-Nanotechnology; Computational Approaches for Drug Design and Personalized Medicine; Computational Proteomics and Protein-Protein Interactions; Data Mining from UV/VIS/NIR Imaging and Spectrophotometry; E-Health Technology, Services and Applications; Evolving Towards Digital Twins in Healthcare (EDITH); High Performance in Bioinformatics; High-Throughput Genomics: Bioinformatic Tools and Medical Applications; Machine Learning in Bioinformatics; Medical Image Processing; Simulation and Visualization of Biological Systems.
The nature of biomedical research has been evolving in recent years. Technological advances that make it easier to study the vast complexity of biological systems have led to the initiation of projects with a larger scale and scope. In many cases, these large-scale analyses may be the most efficient and effective way to extract functional information from complex biological systems. Large-Scale Biomedical Science: Exploring Strategies for Research looks at the role of these new large-scale projects in the biomedical sciences. Though written by the National Academies' Cancer Policy Board, this book addresses implications of large-scale science extending far beyond cancer research. It also identifies obstacles to the implementation of these projects, and makes recommendations to improve the process. The ultimate goal of biomedical research is to advance knowledge and provide useful innovations to society. Determining the best and most efficient method for accomplishing that goal, however, is a continuing and evolving challenge. The recommendations presented in Large-Scale Biomedical Science are intended to facilitate a more open, inclusive, and accountable approach to large-scale biomedical research, which in turn will maximize progress in understanding and controlling human disease.
This book constitutes extended and revised versions of a set of selected papers from the 12th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2019, held in Prague, Czech Republic, in February 2019. The 22 revised and extended full papers presented were carefully reviewed and selected from a total of 271 submissions. The papers are organized in topical sections on biomedical electronics and devices; bioimaging; bioinformatics models, methods and algorithms; bio-inspired systems and signal processing; health informatics.
If you’re ready to explore the world of science, HowExpert Guide to Science is your essential resource, covering everything from foundational principles to cutting-edge innovations. Designed for aspiring scientists, students, and curious minds, this guide takes you on a journey through physics, chemistry, biology, and beyond. Focusing on key disciplines, interdisciplinary connections, ethics, and practical knowledge, this book offers insights, tools, and real-world examples to truly understand science. Chapter Highlights - Introduction - Discover science’s role in everyday life and learn how to get the most from this guide. - Chapter 1: Foundations of Science - Core principles, the scientific method, and the importance of hypotheses and theories. - Chapter 2: History of Science - Major eras and groundbreaking discoveries that define modern science. - Chapter 3: Physics - Matter, energy, mechanics, thermodynamics, and electromagnetism. - Chapter 4: Chemistry - Matter’s properties, chemical reactions, bonding, and the periodic table. - Chapter 5: Biology - Genetics, evolution, ecosystems, and cellular biology. - Chapter 6: Earth Science - Geology, meteorology, oceanography, and environmental conservation. - Chapter 7: Astronomy - Our solar system, galaxies, black holes, and cosmology. - Chapter 8: Human Body & Medical Science - Human anatomy, disease prevention, and medical advances. - Chapter 9: Environmental Science - Human impact on the planet, sustainability, and climate change. - Chapter 10: Mathematics in Science - Math’s role in research, from probability to calculus. - Chapter 11: Social Sciences - Psychology, sociology, and the science of human behavior. - Chapter 12: Technology & Applied Sciences - Engineering, computer science, and technological innovation. - Chapter 13: Data Science & Research - Research design, data analysis, and statistical significance. - Chapter 14: Cutting-Edge Sciences - Advances in nanotechnology, AI, quantum mechanics, and genetic engineering. - Chapter 15: Interdisciplinary Science - The impact of cross-field collaboration and interdisciplinary research. - Chapter 16: Practical Applications - Everyday science in technology, health, and the environment. - Chapter 17: Scientific Literacy - Skills to evaluate scientific information and avoid misconceptions. - Chapter 18: Citizen Science - How to participate in public science initiatives and projects. - Chapter 19: Philosophy & Ethics of Science - Ethical considerations and the role of scientists in society. - Chapter 20: Science Communication & Education - Techniques for communicating science and inspiring future generations. - Chapter 21: Science Careers - Explore career paths, educational requirements, and emerging roles in science. - Chapter 22: The Future of Science - Emerging fields, interdisciplinary research, and future challenges. - Conclusion - Summarizes key concepts, inspires curiosity, and reflects on science’s impact. - Appendices - Additional resources, including a glossary, recommended reading, notable scientists, hands-on experiments, and science events. Why This Guide is Essential for Science Enthusiasts - Comprehensive Learning: Covers all major branches of science, ideal for beginners and enthusiasts alike. - Practical Insights: Real-world applications, examples, and case studies deepen understanding. - Broad Perspective: Connects scientific disciplines to reveal how science shapes our world. - Future-Focused: Highlights emerging fields and innovations, offering a glimpse into science’s future. Start your journey with HowExpert Guide to Science and unlock a lifetime of discovery. Whether deepening your knowledge or just beginning, this guide opens doors to the wonders of science. Dive in, explore, and let science reveal the mysteries of the universe! HowExpert publishes how to guides on all topics from A to Z.
The book covers the latest updates in the application of infrared to biomedical sciences, a non-invasive, contactless, safe and easy approach imaging of skin and tissue temperatures. Its diagnostic procedure allows practitioners to identify the locations of abnormal chemical and blood vessel activity such as angiogenesis in body tissue. Its non-invasive approach works by applying the technology of the infrared camera and state-of-the-art software, where high-resolution digital infrared imaging technology benefits highly from enhanced image production, standardized image interpretation protocols, computerized comparison and storage, and sophisticated image enhancement and analysis. The book contains contributions from global prominent scientists in the area of infrared applications in biomedical studies. The target audience includes academics, practitioners, clinicians and students working in the area of infrared imaging in biomedicine.
Leveraging Biomedical and Healthcare Data: Semantics, Analytics and Knowledge provides an overview of the approaches used in semantic systems biology, introduces novel areas of its application, and describes step-wise protocols for transforming heterogeneous data into useful knowledge that can influence healthcare and biomedical research. Given the astronomical increase in the number of published reports, papers, and datasets over the last few decades, the ability to curate this data has become a new field of biomedical and healthcare research. This book discusses big data text-based mining to better understand the molecular architecture of diseases and to guide health care decision. It will be a valuable resource for bioinformaticians and members of several areas of the biomedical field who are interested in understanding more about how to process and apply great amounts of data to improve their research. Includes at each section resource pages containing a list of available curated raw and processed data that can be used by researchers in the field Provides demonstrative and relevant examples that serve as a general tutorial Presents a list of algorithm names and computational tools available for basic and clinical researchers