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Systems Biology and Machine Learning Methods in Reproductive Health
Systems Biology and Machine Learning Methods in Reproductive Health is an innovative and wide-ranging book that discovers the synergetic combination of disciplines: systems biology and machine learning, with an application in the field of reproductive health. This book assembles the expertise of leading scientists and clinicians to present a compilation of cutting-edge techniques and case studies utilizing computational methods to elucidate intricate biological systems, elucidate reproductive pathways, and address critical issues in the fields of fertility, pregnancy, and reproductive disorders. Bringing science and data science together, this groundbreaking book provides scientists, clinicians, and students with a step-by-step guide to uncovering the complexities of reproductive health through cutting-edge computational tools.
Artificial Intelligence and Computational Dynamics for Biomedical Research
This work presents the latest development in the field of computational intelligence to advance Big Data and Cloud Computing concerning applications in medical diagnosis. As forum for academia and professionals it covers state-of-the-art research challenges and issues in the digital information & knowledge management and the concerns along with the solutions adopted in these fields.
Innovations in Computational Intelligence and Computer Vision
This book presents high-quality, peer-reviewed papers from the International Conference on “Innovations in Computational Intelligence and Computer Vision (ICICV 2021),” hosted by Manipal University Jaipur, Rajasthan, India, on August 5–6, 2021. Offering a collection of innovative ideas from researchers, scientists, academics, industry professionals and students, the book covers a variety of topics, such as artificial intelligence and computer vision, image processing and video analysis, applications and services of artificial intelligence and computer vision, interdisciplinary areas combining artificial intelligence and computer vision, and other innovative practices.
Molecular Level Atomistic and Structural Insights on Biological Macromolecules, Inhibition, and Dynamics Studies
Everything in a living organism relies on biological macromolecules, which have the role of enzymatic chemical transformations, formation of structures, transportation, catalysis, and regulation of biological processes. They are complex biological structures that require an atomistic understanding. A molecular understanding of biological macromolecules has had a massive impact on the pharmaceutical, biotechnological, and chemical industries. Specifically, new enzymatic structures are being discovered through various experimental and computational methods, by describing an atomistic-level insight into function, mechanism, role in reactions and their inhibition. Those atom-level illustrations are mainly focused through enzyme kinetics, enzyme inhibition, mutational and conformational analysis through quantum mechanical and molecular dynamics methods.
Omics Approaches, Technologies And Applications
This book is a concerted effort to put together the rapidly growing facets of biological data. It provides a platform for the readers to think about integrative approaches to solve complex biological problems. This fundamental book deals with the simplest concepts of omics to recent advancements in the field. The content is divided into seven chapters that provide insight into various omics approaches, omics technologies, and its applications. Each chapter delves into different molecular scales: genomics, transcriptomics, proteomics, and metabolomics. Further to provide a holistic view a chapter detailing microbiome has been included in the book. The sub-sections in the chapters is dedicated to introducing the various analytical tools such as next generation sequencing, chromatin immunoprecipitation, mass spectrometry, peptide mass fingerprinting, RNA Seq and NMR spectroscopy. It entails a chapter focused on the bioinformatics resources for analysis of the omics data. In summary, this comprehensive book emphasizes the recent advancements in the study of biomolecules spanning from DNA to metabolites.
Artificial Intelligence: Theory and Applications
This book features a collection of high-quality research papers presented at International Conference on Artificial Intelligence: Theory and Applications (AITA 2023), held during 11–12 August 2023 in Bengaluru, India. The book is divided into two volumes and presents original research and review papers related to artificial intelligence and its applications in various domains including health care, finance, transportation, education, and many more.
Protein-based Therapeutics
This book provides an overview of the essential characteristics and clinical applications of therapeutic proteins against human diseases, including cancers, immune disorders, infections, and other diseases. It presents the latest advancements in protein engineering techniques for producing desirable therapeutic proteins. The book also covers the strategies used to formulate and deliver systemic therapeutic proteins, approved protein therapeutics and their targets, and pharmacogenetic biomarkers. Further, it discusses challenges associated with the clinical implications of therapeutic proteins, including safety, immunogenicity, protein stability, degradation, and efficacy. It illustrates the development of biosimilar antibodies, optimization strategies for producing biobetter antibodies, and presents fundamental concepts about biosuperior therapeutics. Lastly, it includes a discussion about protein-based vaccines against bacterial and viral infections.
