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    • Quantum Computing in Medicine

      • 1st Edition
      • January 1, 2026
      • Don Roosan
      • English
      • Paperback
        9 7 8 0 4 4 3 3 4 1 9 3 9
      • eBook
        9 7 8 0 4 4 3 3 4 1 9 4 6
      Quantum Computing in Medicine: Transforming Drug Discovery, Protein Folding, and Genomics Research through Artificial Intelligence Integration offers an insightful examination of the groundbreaking role of quantum computing in revolutionizing aspects of the medical industry. This book focuses on the profound impact that quantum computational capabilities are poised to have on drug discovery, protein folding, and, notably, genomics research. It outlines the fundamental principles of quantum computing and its complementary relationship with artificial intelligence (AI), highlighting their combined potential to solve intricate biological problems with unparalleled speed compared to traditional computational methods. Special emphasis is placed on the advancements and research efforts in leveraging quantum algorithms for the analysis of genetic data, the acceleration of genomic sequencing processes, and the enhancement of personalised medicine strategies. By providing a thorough exploration of practical applications and the current state of quantum computing in genomics, the book navigates through the challenges and ethical implications of integrating these forward-thinking technologies into healthcare systems. Aimed at professionals, scholars, and enthusiasts within the realms of medicine, computer science, and quantum physics, "Quantum Computing in Medicine" offers a forward-looking perspective on the future of genomics research and healthcare, illuminated by the innovative light of quantum computing and AI.

    • Phytotoxicity of Organic Pollutants

      • 1st Edition
      • January 1, 2026
      • Golam Jalal Ahammed + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 3 1 1 0 7
      • eBook
        9 7 8 0 4 4 3 3 3 1 1 1 4
      Phytotoxicity of Organic Pollutants: Impacts and Management offers new insights into understanding the mechanisms of plant response to organic pollutants and their impact on plant developmental biology and stress tolerance. The book provides coverage on the phytotoxicity and the deleterious effects of various organic pollutants on the mechanisms of plant growth, development, and responses to stress. It also considers environmental and plant-based remediation strategies to mitigate the impact phytotoxicity of organic pollutants and examines the broader potential implications of their impact on food safety and environmental sustainability. Phytotoxicity of Organic Pollutants is an interdisciplinary resource for scientists, academics, graduate students, and industry professionals interested in the study and remediation of the phytotoxicity of contaminants.

    • Generative Artificial Intelligence and Creativity

      • 1st Edition
      • January 1, 2026
      • Matthew J. Worwood + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 4 0 7 3 4
      • eBook
        9 7 8 0 4 4 3 3 4 0 7 4 1
      Generative Artificial Intelligence and Creativity: Possibilities, Precautions, and Perspectives explores the dynamic relationship between generative AI (genAI) and creativity. This book brings together global scholars from diverse fields to explore the transformative impact of genAI on human creativity. As technological advancements in genAI continue to accelerate, this book navigates through the complexities of understanding and harnessing its potential. Generative Artificial Intelligence and Creativity not only dissects the fundamental principles underlying AI's contribution to creativity but also addresses the paradoxical impact of AI on human creative industries. This book serves as a unique guide for anyone seeking to comprehend the implications of AI on the future of human creativity.

    • Revolutionizing Drug Development

      • 1st Edition
      • January 1, 2026
      • Jen-Tsung Chen
      • English
      • Paperback
        9 7 8 0 4 4 3 3 4 0 5 9 8
      • eBook
        9 7 8 0 4 4 3 3 4 0 6 0 4
      Revolutionizing Drug Development: Harnessing AI and Computational Biology presents cutting-edge artificial intelligence (AI) tools, such as machine- and deep-learning models and generative AI, to assist structure-based drug design and clinical trial design and integrate with drug development programs. This book summarizes technical advancements of AI-based technologies and computational biology approaches, highlighting their applications in developing new drugs through discovery, repurposing, and designing, for advancing R&D in the pharmaceutical industry and benefiting precision medicine. This book serves as an ideal reference for students, teachers, professors, and researchers in biological and biomedical sciences, particularly the topics related to bioinformatics, systems biology, pharmacology, and drug development. The readers can efficiently and precisely overview this burning field, which might inspire their future directions of research in drug development and AI-based digital biology.

    • Current Trends in Breast Cancer Pathology, Screening, Diagnosis and Treatments

      • 1st Edition
      • January 1, 2026
      • Firdos Alam Khan
      • English
      • Paperback
        9 7 8 0 4 4 3 3 3 3 4 7 7
      • eBook
        9 7 8 0 4 4 3 3 3 3 4 8 4
      The book “Cutting-edge Computational Intelligence in Healthcare with Convolution and Kronecker Convolution-based Approaches” discusses how advanced deep learning techniques enhance medical image analysis. These advances offer promising progress in healthcare through improvements in diagnostic accuracy, efficiency in medical image interpretation, and breakthroughs in treatment planning. The book begins by explaining foundational concepts of deep learning and Convolutional Neural Networks (CNNs) to show how they extract meaningful features from medical images for tasks such as diagnosis and segmentation. It then explores Kronecker convolutions, highlighting their ability to better capture spatial hierarchies, use parameters more efficiently, and adapt to unique medical image characteristics. Subsequent sections cover applications like tumor detection, organ segmentation, and disease classification and examine real-world implementations of AI in diagnostic imaging, precision medicine, and continuous health monitoring through wearable devices. The final section addresses challenges, emerging trends, and future directions, emphasising how these techniques could shape advanced healthcare. Throughout the book, the authors bridge medicine, computer science, and machine learning to address complex problems in medical imaging and healthcare.

    • Bovine Colostrum as a Nutraceutical

      • 1st Edition
      • January 1, 2026
      • Rahul Mehra + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 3 7 1 6 1
      • eBook
        9 7 8 0 4 4 3 3 3 7 1 7 8
      Bovine colostrum is being touted by medical professionals, nutritionists, and food product developers worldwide for its ability to optimize health and help manage disease. Scientists are becoming increasingly intrigued by its nutrient-dense, immune-boosting properties. Bovine Colostrum as a Nutraceutical: Developments in Processes and Products for Therapeutic and Dietary Applications takes a closer look at every facet of a cow’s first milk—from composition to consumption—and discusses how its nutritional and hyper-immune properties are frequently used in food-pharma worldwide. Comprised of 18 chapters, Bovine Colostrum as a Nutraceutical: Developments in Processes and Products for Therapeutic and Dietary Applications elucidates the chemistry, physiological effects and response of nutritional bioactive elements such as peptides while exploring the impact of different environmental, natural, and processing factors that can affect colostrum's composition. Authors discuss emerging colostrum processing methods, as well as the recent technologies, and instrumentation used for isolating and identifying bioactive components for food product development. Readers will also learn colostrum's role in gut, immune and skin health, and how it can enhance muscle growth for improved athletic performance. Safety, efficacy, and regulatory considerations of bovine colostrum and its derivatives are also discussed.

    • Genetic Regulation of Immune Response Pathways

      • 1st Edition
      • Volume 115
      • January 1, 2026
      • English
      • Hardback
        9 7 8 0 4 4 3 4 7 3 3 6 4
      • eBook
        9 7 8 0 4 4 3 4 7 3 3 7 1
      Genetic Regulation of Immune Response Pathways, Volume 115 in the Advances in Genetics series, highlights new advances in the field, with this new volume presenting comprehensive chapters on a variety of timely topics. Chapters explore the genetic regulation of immune cells upon activation, IFN response regulation during viral infections, and the role of noncoding RNAs—including lncRNAs and ncRNAs—in immune regulation and inflammation. Additional sections examine the JAK-STAT signaling pathway in inflammatory and autoimmune diseases as a potential therapeutic target, long noncoding RNAs as key regulators of autoimmunity, and the importance of appropriate cytokine expression in maintaining immune response homeostasis. Together, these contributions provide valuable insights into the molecular and genetic mechanisms underlying immune-mediated processes.

    • Multilevel Quantum Metaheuristics

      • 1st Edition
      • January 1, 2026
      • Siddhartha Bhattacharyya + 4 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 3 1 3 6 7
      • eBook
        9 7 8 0 4 4 3 3 3 1 3 7 4
      Multilevel Quantum Metaheuristics: Applications in Data Exploration explores the most recent advances in hybrid quantum-inspired algorithms. Combining principles of quantum mechanics with metaheuristic techniques for efficient data optimization, this book examines multilevel quantum systems characterized by qudits and higher-level quantum states as more robust alternatives to conventional bilevel quantum approaches. It introduces novel multilevel applications of quantum metaheuristics for addressing optimization problems in areas including function optimization, data analysis, scheduling, and signal processing. The book also showcases real-world examples, case studies, and contributions that emphasize the effectiveness of proposed multilevel techniques over existing bilevel methods. Researchers, professionals, and engineers working on intelligent computing, quantum computing, data processing, clustering, and analysis, and those interested in the synergies between quantum computing, metaheuristics, and multilevel quantum systems for enhanced data exploration and analysis will find this book to be of great value.

    • Group B Streptococcus in Pregnancy, Childbirth, and the Neonatal Period

      • 1st Edition
      • January 1, 2026
      • Philip Steer + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 7 5 0 4 3
      • eBook
        9 7 8 0 4 4 3 2 7 5 0 5 0
      Group B Streptococcus in Pregnancy, Childbirth, and the Neonatal Period brings together field experts to provide a comprehensive understanding of group B streptococcus (GBS), the most common cause of perinatal infection today. It discusses this important bacterium and infection within pregnancy, both obstetric and fetal aspects during labor, and in the infant. The book opens with a global view of GBS, recounting the history and variation in risk factors and outcomes across regions. Subsequent chapters cover not only the biology, epidemiology and pathology, but also intricately describe infection management, treatment, and prevention options. Both early onset as well as late onset GBS disease are discussed. Further, written accounts of lived experiences with varying outcomes are included, along with strategies to aid practitioners in improving care and understanding of patients and families impacted by GBS. The book concludes with clarification of common misconceptions and discussion of future directions in prevention and treatment options. This comprehensive reference offers evidence-based insights aimed at enhancing practice and ultimately improving perinatal outcomes.

    • An Introduction to Point-Set Topology

      • 1st Edition
      • January 1, 2026
      • Shelby J. Kilmer
      • English
      • Paperback
        9 7 8 0 4 4 3 4 1 4 0 1 5
      • eBook
        9 7 8 0 4 4 3 4 1 4 0 2 2
      An Introduction to Point-Set Topology is intended for use in a beginning topology course for undergraduates or as an elective course for graduate students. The book’s style can be thought of as a hybrid between the Texas style (Moore method) of teaching topology and the more traditional styles. In the Texas style the students are given the definitions and the statements of the theorems and then they present their proofs to the class. This type of participation builds students’ confidence and provides them with a deeper understanding of the subject that they will retain longer. This text offers some of the theorems with their proofs and leaves others for the students to prove and present. Those theorems chosen to have their proofs presented in the text keep the course moving forward under the instructors’ guidance and increase student comprehension. An Introduction to Point-Set Topology covers a broad range of topological concepts, including but not limited to, metric spaces, topological spaces, homeomorphisms, connected sets, compact sets, product spaces, Hausdorff spaces, sequences, limits, weak topologies, the axiom of choice, Zorn’s lemma, and Nets. Incorporating both historical references and color graphics, the material keeps readers engaged. The book’s goals include increasing student participation, thus promoting a deeper knowledge through an intuitive understanding of how and why topology was developed in the way that it was. This “instructor-friendly... accessible text is also accompanied by a detailed solutions manual to support both experienced topologists and other mathematicians who would like to teach topology.

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