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Biomarkers as targeted herbal drug discovery : A pharmacological approach to nanomedicines
Looks at the applications of biomarkers as important tools for herbal drug discovery, presenting research on phytoconstituents with advanced nanotechnological applications for healthcare benefits. Herbal drug discovery based on biomarkers is an emerging area in complementary and alternative medicine that has tremendous potential in healthcare. Conventional medications have limited efficacy and high toxicity, whereas herbal drugs are said to provide wide structural diversity that is not usually seen with conventional/synthetic drug molecules. Recognition of various herbal constituents, such as terpenoids, fatty acids, flavonoids and steroids, are well explored in the management and treatment of various disorders in this volume. These agents target various biomarkers such as nitric oxide (NO), cytokines, chemokines, adhesion molecules, NF- kβ, lipoxygenase (LOX), and arachidonic acid. Reviews the literature on inflammatory biomarkers in the treatment of diseases Looks at the development of herbal drug discovery based on biomarkers Explores emerging concepts of nanomedicines for herbal drug delivery Takes an interdisciplinary approach, with application to disciplines related to medical, pharmaceutical, biotechnological, Ayurvedic, Unani and biomedical engineering fields
Apoptosis, Senescence, and Cancer
Apoptosis, Senescence and Cancer provides insight into established practices and research into apoptosis and senescence by thoroughly examining novel and emerging techniques and research in the fields of cell death pathways, senescence growth arrest, drugs and resistance, DNA damage response, and other topics which still hold mysteries for researchers.this volume provides basic scientists and clinicians with a deeper and more complete understanding of the cellular responses of malignancies which may determine the effectiveness of treatment.
Anti-viral metabolites from medicinal plants
Covers general concepts of anti-viral metabolites, classifications, ethnopharmacology, chemistry, clinical and preclinical studies focusing on different medicinal plants against various types of viral infections. Various plants have been used in medicine since ancient times and are known for their strong therapeutic effects. The book will describe potential antiviral properties of medicinal plants against a diverse group of viruses, and provide an insight to the potential plants possess for broad-spectrum antiviral effects against emerging viral infections.The book aims to target a broad audience including virologists, molecular biologist, microbiologist and scientists working with natural products as well as researchers, students, healthcare experts involved in pharmaceutical and medical field.
Antimicrobial Resistance and Implications for the Twenty-First Century
This new volume of the Emerging Infectious Diseases of the 21st Century series is a collection of chapters by leading world authorities on antimicrobial resistance of common, important bacterial, viral and fungal pathogens. This unique book should be in the possession of anyone interested in the field of infectious diseases, microbiology, infection control & public health. The chapters, which are written by reknown experts, provide a wealth of contemporary information on microbiology, molecular mechanisms, epidemiology, clinical relevance, treatment, and prevention
An introduction to bioanalysis of biopharmaceuticals
Provides a comprehensive review of the fundamental and practical aspects of bioanalytical support and the integral role it plays in the development of safe and efficacious biopharmaceutical drugs with speed and cost-effectiveness. Focuses on a broad range of conventional and emerging biopharmaceutical modalities including monoclonal antibody-based therapeutics, gene therapy, cell therapy, peptides and oligonucleotides.
AI in clinical medicine : A practical guide for healthcare professionals
A Practical Guide for Healthcare Professionals is the definitive reference book for the emerging and exciting use of AI throughout clinical medicine. AI in Clinical Medicine: A Practical Guide for Healthcare Professionals is divided into four sections. Section 1 provides readers with the basic vocabulary that they require, a framework for AI, and highlights the importance of robust AI training for physicians. Section 2 reviews foundational ideas and concepts, including the history of AI. Section 3 explores how AI is applied to specific disciplines. Section 4 describes emerging trends, and applications of AI in medicine in the future.
Advances in Molecular Oncology
Proceedings of the 2nd Annual IFOM-IEO Meeting on Cancer. This is a new meeting, it has about 200 attendees from Australia, Austria, Belgium, Brazil, Canada, England, France, Germany, Greece, Ireland, Italy, Japan, Netherlands, Spain, Sweden, Switzerland, and the USA. The 2nd IFOM-IEO international meeting on cancer will provide a forum in which the world’s leading cancer researchers and young scientists will discuss the latest advances in molecular oncology. The impact of recent breakthroughs in basic research and of emerging technologies on molecular medicine in cancer will be highlighted.
Advances in Microbiology, Infectious Diseases and Public Health ; Vol.15
Focuses on current progress in the broad field of medical microbiology, and covers both basic and applied topics related to the study of microbes, their interactions with human and animals, and emerging issues relevant for public health. Original research and review articles present and discuss multidisciplinary findings and developments on various aspects of microbiology, infectious diseases, and their diagnosis, treatment and prevention.
Advanced soft electronics in biomedical engineering : materials, manufactures, and applications
Presents the latest advances in soft electronics in biomedical engineering and its potential applications in various biomedical fields. Provide comprehensive coverage of how soft electronics are used in diagnostics and monitoring, medical therapy, neural engineering, and wearable and implantable systems. In particular, some emerging research areas such as advanced soft robotics, fiber sensing technologies, and power optimization strategies are explored. In addition, the book highlights international standardization activities in wearable technologies and implantable bioelectronics.
A Changing World : Challenges for Landscape Research
Written primarily for researchers and advanced students in environmental and social sciences, this latest book in Springer’s Landscape Series looks at some of the emerging fields and new challenges in landscape research. These include: the role of value systems in perceiving, appreciating, and managing landscapes the ‘space’ and ‘place’ concept in landscape research GIS and remote sensing techniques for gathering and processing spatially and temporally explicit land cover, vegetation, and land use data methods of landscape history landscape genetics and genetic methods to test landscape connectivity and dispersal of plant and animal species
Competition Authorities in South Eastern Europe : Building Institutions in Emerging Markets
Provides answers to key open questions concerning competition policy in emerging economies, with a focus on South Eastern Europe. The contributions address two major issues. One is the design of competition policy and the national competition authorities that enforce it, including the topics of competition advocacy and state aid control; the other is the use of economic methods in competition law enforcement, especially in the cases of relevant market definition and merger control. Many lessons learned in the countries of South Eastern Europe can be applied to the emerging markets of other regions. As such, the findings presented here will be highly relevant for officials and staff at national competition authorities, advisers to legislators shaping national competition policy, competition law professionals, and university students alike.
An assessment framework for compliance with international space law and norms : Promoting equitable access and Use of space for emerging actors
proposes a framework for assessing countries’ levels of compliance with international space law and norms. It begins by exploring the development of two movements – the evidence-based policymaking and programming movement, and the rise of ratings and rankings research – and their growth across various disciplines. The analysis suggests that such efforts are useful in gauging the behavior of countries in space according to how well they adhere to existing space law and norms. To date, there is no comprehensive, periodic, and systematic measure of countries’ efforts to comply with space law and norms; this work endeavors to fill that gap by offering a framework in which to assess compliance.
Managing Risk and Information Security : Protect to Enable
Examine the evolving enterprise security landscape and discover how to manage and survive risk. While based primarily on the author’s experience and insights at major companies where he has served as CISO and CSPO, the book also includes many examples from other well-known companies and provides guidance for a management-level audience. Managing Risk and Information Security provides thought leadership in the increasingly important area of enterprise information risk and security. It describes the changing risk environment and why a fresh approach to information security is needed. Because almost every aspect of an enterprise is now dependent on technology not only for internal operations but increasing as a part of product or service creation, the focus of IT security must shift from locking down assets to enabling the business while managing and surviving risk. This edition discusses business risk from a broader perspective, including privacy and regulatory considerations. It describes the increasing number of threats and vulnerabilities and offers strategies for developing solutions. These include discussions of how enterprises can take advantage of new and emerging technologies—such as social media and the huge proliferation of Internet-enabled devices—while minimizing risk.
Machine learning and deep learning in medical data analytics and healthcare applications
Introduces and explores a variety of schemes designed to empower, enhance, and represent multi-institutional and multi-disciplinary machine learning (ML) and deep learning (DL) research in healthcare paradigms. Serving as a unique compendium of existing and emerging ML/DL paradigms for the healthcare sector, this book demonstrates the depth, breadth, complexity, and diversity of this multi-disciplinary area. It provides a comprehensive overview of ML/DL algorithms and explores the related use cases in enterprises such as computer-aided medical diagnostics, drug discovery and development, medical imaging, automation, robotic surgery, electronic smart records creation, outbreak prediction, medical image analysis, and radiation treatments.
Biomedical data mining for information retrieval : Methodologies, techniques, and applications
Discusses data mining, biomedical image processing, information retrieval with broad coverage of basic scientific applications. covers the topic of mining biomedical text, images and visual features towards information retrieval. Biomedical and health informatics is an emerging field of research at the intersection of information science, computer science, and healthcare and brings tremendous opportunities and challenges due to easily available and abundant biomedical data for further analysis. The aim of healthcare informatics is to ensure the high-quality, efficient healthcare, better treatment and quality of life by analyzing biomedical and healthcare data including patient’s data, electronic health records (EHRs) and lifestyle. Previously, it was a common requirement to have a domain expert to develop a model for biomedical or healthcare; however, recent advancements in representation learning algorithms allows us to automatically to develop the model. Biomedical image mining, a novel research area, due to the vast amount of available biomedical images, increasingly generates and stores digitally.
Bioinformatics technologies
Solving modern biological problems requires advanced computational methods. Bioinformatics evolved from the active interaction of two fast-developing disciplines, biology and information technology. The central issue of this emerging field is the transformation of often distributed and unstructured biological data into meaningful information. This book describes the application of well-established concepts and techniques from areas like data mining, machine learning, database technologies, and visualization techniques to problems like protein data analysis, genome analysis and sequence databases. Chen has collected contributions from leading researchers in each area. The chapters can be read independently, as each offers a complete overview of its specific area, or, combined, this monograph is a comprehensive treatment that will appeal to students, researchers, and R&D professionals in industry who need a state-of-the-art introduction into this challenging and exciting young field.
Big Data in Context : Legal, Social and Technological Insights
Sheds new light on a selection of big data scenarios from an interdisciplinary perspective. It features legal, sociological and economic approaches to fundamental big data topics such as privacy, data quality and the ECJ’s Safe Harbor decision on the one hand, and practical applications such as smart cars, wearables and web tracking on the other. Addressing the interests of researchers and practitioners alike, it provides a comprehensive overview of and introduction to the emerging challenges regarding big data.All contributions are based on papers submitted in connection with ABIDA (Assessing Big Data), an interdisciplinary research project exploring the societal aspects of big data and funded by the German Federal Ministry of Education and Research.
Automatic speech recognition on mobile devices and over communication networks
This book brings together leading academic researchers and industrial practitioners to address the issues in this emerging realm and presents the reader with a comprehensive introduction to the subject of speech recognition in devices and networks.
Artificial intelligence for multimedia signal processing
Artificial intelligence technologies are also actively applied to broadcasting and multimedia processing technologies. A lot of research has been conducted in a wide variety of fields, such as content creation, transmission, and security, and these attempts have been made in the past two to three years to improve image, video, speech, and other data compression efficiency in areas related to MPEG media processing technology. Additionally, technologies such as media creation, processing, editing, and creating scenarios are very important areas of research in multimedia processing and engineering. This book contains a collection of some topics broadly across advanced computational intelligence algorithms and technologies for emerging multimedia signal processing as: Computer vision field, speech/sound/text processing, and content analysis/information mining.
Artificial Intelligence for Cloud and Edge Computing
Discusses the future possibilities of AI with cloud computing and edge computing. Aims to conduct analyses, implementation and discussion of many tools (of artificial intelligence, machine learning and deep learning and cloud computing, fog computing, and edge computing including concepts of cyber security) for understanding integration of these technologies. Readers can quickly get an overview of these emerging topics and get many ideas of the future of AI with cloud, edge, and in many other areas. Topics include machine and deep learning techniques for Internet of Things based cloud systems; security, privacy and trust issues in AI based cloud and IoT based cloud systems; AI for smart data storage in cloud-based IoT; blockchain based solutions for AI based cloud and IoT based cloud systems.This book is relevent to researchers, academics, students, and professionals. Presents fusion of cloud computing services and AI technology for bringing a significant change in the technology industry; Includes self-assessment problems for increasing knowledge of real world problems, i.e., how AI and cloud/edge computing can change business for the better; Provides innovative results of integrations of AI in other applications such as healthcare, finance, manufacturing, transportation, agriculture, etc.
