In contrast to existing books on immunoinformatics, this volume presents a cross-section of immunoinformatics research. The contributions highlight the interdisciplinary nature of the field and how collaborative efforts among bioinformaticians and bench scientists result in innovative strategies for understanding the immune system. Immunoinformatics is ideal for scientists and students in immunology, bioinformatics, microbiology, and many other disciplines.

Given the versatile utility of the determinination of epitopes, beneficial to a wide variety of scientists from immunologists to structural biologists to biotechnologists, the need for a thorough, state-of-the-art collection of experimental protocols is clear. In Epitope Mapping Protocols, Second Edition, expert contributors from a broad spectrum of scientific backgrounds update and expand the successful first edition with cutting-edge techniques and applications, including approaches to both antibody or B-cell epitope mapping and T-cell epitope mapping as well as a new section on the profiling of antibody signatures in biological fluids. Written in the popular Methods in Molecular BiologyTM series format, chapters include brief introductions to the topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and Notes sections, which highlight tips on troubleshooting and avoiding known pitfalls. Comprehensive and up-to-date, Epitope Mapping Protocols, Second Edition is a reliable and valuable reference for all those who wish to understand and further investigate the diversifying field of epitope mapping.

This handbook provides thorough, in-depth, and well-focused developments of artificial intelligence (AI), machine learning (ML), deep learning (DL), natural language processing (NLP), cryptography, and blockchain approaches, along with their applications focused on healthcare systems. Handbook of AI-Based Models in Healthcare and Medicine: Approaches, Theories, and Applications highlights different approaches, theories, and applications of intelligent systems from a practical as well as a theoretical view of the healthcare domain. It uses a medically oriented approach in its discussions of human biology, healthcare, and medicine and presents NLP-based medical reports and medicine enhancements. The handbook includes advanced models of ML and DL for the management of healthcare systems and also discusses blockchain-based healthcare management. In addition, the handbook offers use cases where AI, ML, and DL can help solve healthcare complications. Undergraduate and postgraduate students, academicians, researchers, and industry professionals who have an interest in understanding the applications of ML/DL in the healthcare setting will want this reference on their bookshelf.

The healthcare industry is increasingly complex, demanding personalized treatments and efficient operational processes. Traditional research methods need help to keep pace with these demands, often leading to inefficiencies and suboptimal outcomes. Integrating digital twin technology presents a promising solution to these challenges, offering a virtual platform for modeling and simulating complex healthcare scenarios. However, the full potential of digital twins still needs to be explored mainly due to a lack of comprehensive guidance and practical insights for researchers and practitioners. Exploring the Advancements and Future Directions of Digital Twins in Healthcare 6.0 is not just a theoretical exploration. It is a practical guide that bridges the gap between theory and practice, offering real-world case studies, best practices, and insights into personalized medicine, real-time patient monitoring, and healthcare process optimization. By equipping you with the knowledge and tools needed to effectively integrate digital twins into your healthcare research and operations, this book is a valuable resource for researchers, academicians, medical practitioners, scientists, and students.

This contributed volume contains 25 chapters from leading international scientists working on dengue and Zika viruses, who came together in Praia do Tofo in Mozambique to discuss the latest developments in the fields of epidemiology, pathogenesis, structural virology, immunology, antiviral drug discovery and development, vaccine efficacy, and mosquito control programs. The meeting venue offered an opportunity to discuss current research on these flaviviruses in an idyllic setting, and also to develop first-hand appreciation of the issues in infectious diseases facing developing countries and of the research gaps in Africa. For readers, who should include basic and clinical researchers in the field and public health professionals, the chapters are organized to provide a comprehensive overview of the various topics in current dengue and Zika virus research. A unique feature of the proceedings of this meeting is the inclusion of the discussions that took place following presentations. These have been transcribed and appended to the end of the relevant chapters, and they form the “salt in the soup” of this book.

This book covers a wide range of diverse immunoinformatics research topics, involving tools and databases of potential epitope prediction, HLA gene analysis, MHC characterizing, in silico vaccine design, mathematical modeling of host-pathogen interactions, and network analysis of immune system data. In that way, this fully updated volume explores the enormous value of computational tools and models in immunology research. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of key insights and detailed implementation advice to encourage successful results in the lab. Authoritative and practical, Immunoinformatics, Third Edition serves as an ideal guide for scientists working at the intersection of bioinformatics, mathematical modelling, and statistics for the study of immune systems biology.