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Aquatic medicinal plants
The use of medicinal plants in herbal and modern medicine has gained popularity over the last few decades due to consumers taking more natural approaches to medicine. Aquatic medicinal plants are rich in bioactive compounds and demonstrate various commercial, nutraceutical, and biological applications. Aquatic Medicinal Plants offers the reader a wealth of information on uses of bioactive components of these plants, along with crucial references, and explains their traditional uses, phytochemistry, and pharmacological properties.
Applications of functional foods in disease prevention
Functional food sources are growing in popularity because they are exceptionally nutritious and provide amazing medical advantages. They can help ensure against infection, prevent supplement deficiency, and advance appropriate health development and improvement. With illustrative case studies, this new volume explores the many roles of functional foods in the prevention and management of various diseases, including diabetes, autism spectrum disorder, weight loss and obesity, microbial infections, ulcers and other gastrointestinal diseases, mental disorders and brain health, cardiac health and cardiovascular diseases, osteoporosis and bone health, and more.
Antioxidants as nutraceuticals
Provides a comprehensive overview of antioxidants and nutraceuticals, including their sources, mechanisms of action, and health benefits, this new volume first covers the basics of the types of antioxidants as nutraceuticals, including the importance of phytochemical antioxidants and their nutritional and pharmacological intervention in the treatment of disease. It discusses the natural origins of antioxidants, classification, mechanisms of action, calculation of antioxidant potential of nutraceutical substances, safety, toxicity, and their significant involvement in the prevention of many degenerative and chronic diseases.
Antimalarial medicinal plants
Malaria continues to affect a large population of the world, especially in third world countries. The spread of drug-resistant parasites demonstrates the need for antimalarial agents with various modes of action. The search for remedies derived from medicinal plants for the treatment of malaria is reliant on accurate ethnobotanical and ethnopharmacological information obtained from traditional medical practitioners. Antimalarial Medicinal Plants provides information on bioactive compounds and therapeutic potentials of several antimalarial plant species found around the globe. This book evaluates these plant species with respect to their biology, diversity, distribution, and pharmacological values.
Antidiabetic plants for drug discovery pharmacology, secondary metabolite profiling, and ingredients with insulin mimetic activity
Takes an in-depth look at the potential pharmacological applications of 11 important antidiabetic plants, examining their antihyperglycemic, hypoglycemic, and anti-lipidemic properties along with current genome editing research perspectives. Plant natural products, or phytoconstituents, are promising candidates for antidiabetic pharmacological actions. The phytoconstituents, such as fl avonoids, terpenoids, saponins, carotenoids, alkaloids and glycosides, play vital roles in the current and future potent antidiabetic drug development programs. Each chapter reviews a particular plant with antidiabetic properties, explaining the therapeutic aspects, its active antidiabetic compounds, and relevant genome editing technology.
Antidiabetic medicinal plants and herbal treatments
Diabetes is a chronic condition associated with metabolic disorder. Persons suffering from diabetes have shown accelerated levels of blood sugar which often harms the heart, blood vessels, eyes, kidneys, and nerves. Over the past few decades, the prevalence of diabetes has been progressively increasing. Synthetic drugs are used to treat diabetic patients to help control the disorder, but it is shown that numerous medicinal plants and herbal drugs are widely used in several traditional systems of medicine to prevent and treat diabetes. They are reported to produce beneficial effects in combating diabetes and alleviating diabetes-related complications. These plants contain phtyonutrients and phytoconstituents demonstrating protective or disease preventive properties. In many developing countries, herbal drugs are recommended by traditional practitioners for diabetes treatment because the use of synthetic drugs is not affordable.
Anticancer activity in heterocyclic organic structures : A pathway to novel drug development : Part 1
New Directions in Organic & Biological Chemistry, explores the development of cancer therapeutics, focusing on molecular chemistry and advanced drug design approaches. Written by experts in theoretical chemistry and molecular chemistry, they bridge the gap between theoretical chemistry, molecular biology, and drug development. In Part I, they focus on the fundamental properties of heterocyclic compounds and innovative methodologies being employed to enhance therapeutic potential. By exploring various classes of heterocyclic compounds and diverse anticancer mechanisms.
An introduction to generative drug discovery
Describes the state‑of‑the‑art methods and applications for de novo design of drug candidates using generative chemistry models as well as the ethical aspects of this technology. It will provide a foundation for those new to the field as well as those that may already have some experience of its utility. With contributions from scientists in both academia and industry ‘Introduction to Generative Drug Discovery’ may represent one of the earliest if not the first book to focus on this topic.
Alternative medicines for diabetes management : Advances in pharmacognosy and medicinal chemistry
Apart from diet and exercise, the strategic use of different classes of prescribed or non-prescribed xenobiotic compounds for the restoration of euglycemic levels in the body is well known. The ongoing rivalry between the recommended usage of allopathic medicines versus ayurvedic remedies has encouraged many researchers to focus their studies on thoroughly isolating and characterizing the extracts from different parts of plants and then evaluating their relative activities via in vitro, in vivo and in some cases clinical studies.
Advances in flavonoids for human health and prevention of diseases
In response to the recent upsurge of interest in the therapeutic potential of medicinal plants, with their promising phenolic compounds, this new book offers an important overview of advances in the applications of flavonoids for health. The book explores the nutritional and pharmacological properties of polyphenols and flavonoids, including their ability to prevent the start and development of diseases and how they aid in the management of several chronic pathological illnesses, including cancer, diabetes, cardiovascular disease, neuro-degenerative illness and aging, pregnancy-induced disorders, and others. Also discussed in depth are the properties, classes, and degrees that formulate a phenolic compound and which subsequently supports the development of drugs/products with health benefits.
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.
Adapting dermal fillers in clinical practice
There have been many different brands of dermal fillers approved for use for soft tissue augmentation in the US market alone, comprising four different types of temporary fillers and one permanent type, with several other brands and types also available elsewhere in the world. Against such a potentially bewildering variety and range of choices, this new text offers a scientific and an anatomic rationale for why a particular filler should be selected as optimal for each individual location and indication and how it should best be used in treatments. International experts share their clinical knowledge and expertise to guide all levels of aesthetic practitioners toward the best results for each individual patient.
Adaptation to Life at High Salt Concentrations in Archaea, Bacteria, and Eukarya
This book complements “Halophilic Microorganisms”, edited by A. Ventosa and published by Springer-Verlag (2004), “Halophilic Microorganism and their Environments” by A. Oren (2002), published by Kluwer Academic Publishers as volume 5 of “Cellular Origins, Life in Extreme Habitats and Astrobiology” (COLE), and “Microbiology and Biogeochemistry of Hypersaline Environments” edited by A. Oren, and published by CRC Press, Boca Raton (1999).
AI and law : How automation is changing the law
Provides insights into how AI is changing legal practice, government processes, and individuals’ access to those processes, encouraging each of us to consider how technological advances are changing the legal system. Particularly, and distinct from current debates on how to regulate AI, this books focuses on how the progressive merger between computational methods and legal rules changes the very structure and application of the law itself.
Machine learning in healthcare : Fundamentals and recent applications
Discusses how to build various ML algorithms and how they can be applied to improve healthcare systems. Healthcare applications of AI are innumerable: medical data analysis, early detection and diagnosis of disease, providing objective-based evidence to reduce human errors, curtailing inter- and intra-observer errors, risk identification and interventions for healthcare management, real-time health monitoring, assisting clinicians and patients for selecting appropriate medications, and evaluating drug responses. Extensive demonstrations and discussion on the various principles of machine learning and its application in healthcare is provided, along with solved examples and exercises.
Machine Learning and Probabilistic Graphical Models for Decision Support Systems
Presents recent advancements in research, a review of new methods and techniques, and applications in decision support systems (DSS) with Machine Learning and Probabilistic Graphical Models, which are very effective techniques in gaining knowledge from Big Data and in interpreting decisions. It explores Bayesian network learning, Control Chart, Reinforcement Learning for multicriteria DSS, Anomaly Detection in Smart Manufacturing with Federated Learning, DSS in healthcare, DSS for supply chain management, etc. Researchers and practitioners alike will benefit from this book to enhance the understanding of machine learning, Probabilistic Graphical Models, and their uses in DSS in the context of decision making with uncertainty. The real-world case studies in various fields with guidance and recommendations for the practical applications of these studies are introduced in each chapter.
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.
Artificial neural network-based optimized design of reinforced concrete structures
Introduces AI-based Lagrange optimization techniques that can enable more rational engineering decisions for concrete structures while conforming to codes of practice. It shows how objective functions including cost, CO2 emissions, and structural weight of concrete structures are optimized either separately or simultaneously while satisfying constraining design conditions using an ANN-based Lagrange algorithm. Any design target can be adopted as an objective function. Many optimized design examples are verified by both conventional structural calculations and big datasets. Uniquely applies the new powerful tools of AI to concrete structural design and optimization Multi-objective functions of concrete structures optimized either separately or simultaneously Design requirements imposed by codes are automatically satisfied by constraining conditions Heavily illustrated in color with practical design examples
Artificial intelligence in higher education : A practical approach
Highlights the broad field of artificial intelligence applications in education, regarding any type of artificial intelligence that is correlated with education. It discusses learning methodologies, intelligent tutoring systems, intelligent student guidance and assessments, intelligent education chatbots, and artificial tutors and presents the practicality and applicability implications of AI in education. The book offers new and current research along with case studies showing the latest techniques and educational activities. Will find interest with academicians which includes teachers, students of various disciplines, higher education policymakers who believe in transforming the education industry, research scholars who are pursuing their Ph.D. or Post Doc. in the field of Education Technology, Education, and Learning, etc. and those working in the area of Education Technology and Artificial Intelligence such as industry professionals in education management and e-learning companies
Artificial Intelligence Applications for Health Care
Covers topics on health care and artificial intelligence. Data sets related to biomedical signals (ECG, EEG, EMG) and images (X-rays, MRI, CT) are explored, analyzed, and processed through different computation intelligence methods. Applications of computational intelligence techniques like artificial and deep neural networks, swarm optimization, expert systems, decision support systems, clustering, and classification techniques on medial datasets are explained. Survey of medical signals, medial images, and computation intelligence methods are also provided.
