This book emphasizes the important role of invertebrates in forensic sciences in the detection of crimes, determining the time and place of death, estimating the minimum Post-Mortem Interval (PMI), and determining the cause of death. The initial chapter discusses the forensically essential invertebrates, especially flies under Order Diptera. Further, the book highlights the importance, biology, taxonomy, and biodiversity of flies under Order Diptera with forensic importance. It also discusses the Cuticular HydroCarbons (CHC) and spectrometry-based studies reported from flies and larvae of forensic importance. It further reviews the importance of DNA barcoding in molecular taxonomy-based studies on forensic flies through understanding, identification, and grouping the organisms. Towards the end, this book presents the applications and limitations of forensic entomology in cases of animal cruelty to a veterinary professional. ​

Stem cells hold great promise for cell therapy, tissue engineering, regenerative medicine and pharmaceutical and biotechnological applications. This book highlights the potency of stem cells, their property of self-renewal and their ability to differentiate into different cell lineages. It further describes the different markers to identify stem cells, sources, methods of isolation, culture including 2D, 3D and beyond and their cryopreservation. This is among the first books to discuss glycosylation and sialylation in stem cells. Chapters describe application of stem cells in regenerative medicine and therapy, and highlight their application in cancer therapy and spinal cord injury. The book talks about the important patents on stem cells. The book also highlights the plant stem cells, discussing their pluoripotent nature, role in organ regeneration after injury, specific stem cell niches, that signals to block differentiation studied in plants shoot, root, and vascular meristems, differentiation of plant stem cell, transcriptional regulation and epigenetic modification of plant stem cells. This book is exciting and cutting edge. It will be of great interest to doctors, students and researchers in the field of regenerative medicine, cancer , biotechnology and plant sciences.

Applications of nanoparticles to the human life and tools in diagnosis and therapy in field of clinical medicine holds importance and has been an prime focus of biomedical and clinical research for quite sometime, though their application in veterinary medicine is a relatively new focus area of research. Prior to human applications, studies are initially conducted on animals models. Thus toxicity based studies and study of impact of nanoparticles on animal immune system finds importance. In the second volume of the book we discuss the immune system in animals across invertebrates and vertebrate phylas and discuss the impact of nanoparticles in animals life, health, survival and immune system. The book highlights the toxic effects of nanoparticles as environmental pollutants and their adverse impact on animal life forms. Both volumes are also included in a set ISBN 978-3-11-065666-4.

The fast development in the field of nanotechnology has led to a high variety of nanoparticles. Nanoparticles find importance in every sphere of human lives and more so in the recent years have tremendous applications in the sector of biomedical clinical medicine as diagnostic, prognostic and imaging tools. Their risk to human and animal life as well as to the environment is still unclear. Therefore, the study of the impact of nanoparticles on human and animal life is important. Volume I highlights the impact of nanoparticles on the human immune system. While discussing the basic biology of the immune system, this book highlights the downstream effect of nanoparticles on the human immune system. Research studies on the development of better and more effective nanoparticles with more precise and accurate effects and with toxic minimal side effects are discussed in the book. Both volumes are also included in a set ISBN 978-3-11-065666-4.

This book gives an overview of applications of Machine Learning (ML) in diverse fields of biological sciences, including healthcare, animal sciences, agriculture, and plant sciences. Machine learning has major applications in process modelling, computer vision, signal processing, speech recognition, and language understanding and processing and life, and health sciences. It is increasingly used in understanding DNA patterns and in precision medicine. This book is divided into eight major sections, each containing chapters that describe the application of ML in a certain field. The book begins by giving an introduction to ML and the various ML methods. It then covers interesting and timely aspects such as applications in genetics, cell biology, the study of plant-pathogen interactions, and animal behavior. The book discusses computational methods for toxicity prediction of environmental chemicals and drugs, which forms a major domain of research in the field of biology. It is of relevance to post-graduate students and researchers interested in exploring the interdisciplinary areas of use of machine learning and deep learning in life sciences.

Sialic Acids and Sialoglycoconjugates in the Biology of Life, Health and Disease enables the reader to understand the role of sialylation as a post translational modification. The book provides insights on the latest knowledge in the field of sialoglycobiology. Sialic acids as terminal residues of oligosaccharide chains play crucial roles in several cellular recognition events. Synthesized post translationally, they play an important role in recognition, signaling, immunological response and cell-cell interaction. Improper sialylations have been associated with several diseases including cancer. In the post genomics and proteomics era, sialoglybiology has become more and more important in deciphering health and disease conditions.

This monograph summarizes the current knowledge on potential health hazards induced by nanomaterials from different sources and sort such as food, drugs and silver nanoparticles. Methods to assess toxicity as well as known effects on the genome, neuronal and respiratory system are discussed. Besides the impact on human and animal life the books also addresses aquatic toxicity.

This book gives an overview of applications of Machine Learning (ML) in diverse fields of biological sciences, including healthcare, animal sciences, agriculture, and plant sciences. Machine learning has major applications in process modelling, computer vision, signal processing, speech recognition, and language understanding and processing and life, and health sciences. It is increasingly used in understanding DNA patterns and in precision medicine. This book is divided into eight major sections, each containing chapters that describe the application of ML in a certain field. The book begins by giving an introduction to ML and the various ML methods. It then covers interesting and timely aspects such as applications in genetics, cell biology, the study of plant-pathogen interactions, and animal behavior. The book discusses computational methods for toxicity prediction of environmental chemicals and drugs, which forms a major domain of research in the field of biology.   It is of relevance to post-graduate students and researchers interested in exploring the interdisciplinary areas of use of machine learning and deep learning in life sciences.

Stem cells hold great promise for cell therapy, tissue engineering, regenerative medicine and pharmaceutical and biotechnological applications. This book highlights the potency of stem cells, their property of self-renewal and their ability to differentiate into different cell lineages. It further describes the different markers to identify stem cells, sources, methods of isolation, culture including 2D, 3D and beyond and their cryopreservation. This is among the first books to discuss glycosylation and sialylation in stem cells. Chapters describe application of stem cells in regenerative medicine and therapy, and highlight their application in cancer therapy and spinal cord injury. The book talks about the important patents on stem cells. The book also highlights the plant stem cells, discussing their pluoripotent nature, role in organ regeneration after injury, specific stem cell niches, that signals to block differentiation studied in plants shoot, root, and vascular meristems, differentiation of plant stem cell, transcriptional regulation and epigenetic modification of plant stem cells. This book is exciting and cutting edge. It will be of great interest to doctors, students and researchers in the field of regenerative medicine, cancer , biotechnology and plant sciences.

The immune system is highly complex system with large number of macromolecules, signaling pathways, protein-protein interactions, and gene expressions. Studies from genomics, transcriptomics, metabolomics are generating huge high throughput data that needs to be analyzed for understanding the Immune system in Health and Disease. Computational approaches arehelping in understanding the study of complex biology of immunology and thereby enabling design of therapeutic strategies in diseases like infectious diseases, immunodeficiency, allergic, hypersensitive, autoimmune disorders and diseases like Cancer, HIV etc. Computational Immunology: Basics highlights the basics of the immune system and function in health and disease. This book offers comprehensive coverage of the most essential topics, including Overview of Immunology and computational Immunology Immune organs and cells, antigen, antibody, B, cell, T cell Antigen Processing and presentation Diseases due to abnormalities of the immune system Cancer Biology Shyamasree Ghosh (MSc, PhD, PGDHE, PGDBI), is currently working in the School of Biological Sciences, National Institute of Science Education and Research (NISER), Bhubaneswar, DAE, Govt of India, graduated from the prestigious Presidency College Kolkata in 1998. She was awarded the prestigious National Scholarship from the Government of India. She has worked and published extensively in glycobiology, sialic acids, immunology, stem cells and nanotechnology. She has authored several publications that include books and encyclopedia chapters in reputed journals and books.

Computational Immunology: Applications focuses on different mathematical models, statistical tools, techniques, and computational modelling that helps in understanding complex phenomena of the immune system and its biological functions. The book also focuses on the latest developments in computational biology in designing of drugs, targets, biomarkers for early detection and prognosis of a disease. It highlights the applications of computational methods in deciphering the complex processes of the immune system and its role in health and disease. This book discusses the most essential topics, including Next generation sequencing (NGS) and computational immunology Computational modelling and biology of diseases Drug designing Computation and identification of biomarkers Application in organ transplantation Application in disease detection and therapy Computational methods and applications in understanding of the invertebrate immune system S Ghosh is MSc, PhD, PGDHE, PGDBI, is PhD from IICB, CSIR, Kolkata, awarded the prestigious National Scholarship from the Government of India. She has worked and published extensively in glycobiology, sialic acids, immunology, stem cells and nanotechnology. She has authored several publications that include books and encyclopedia chapters in reputed journals and books.