Molecular Biomarkers in Cancer Detection and Monitoring of Therapeutics: Volume Two: Diagnostic and Therapeutic Applications discusses how molecular biomarkers are used to determine predisposition, facilitate detection, improve treatment and offer prevention guidelines for different cancers. It focuses on novel diagnostic techniques based on molecular biomarkers and their impact on treatment, covering different cancer types such as tumors in the nervous system, head and neck, oral and GI tractor, lung, breast, gastric system, leukemia and urogenital tract cancers. For each type, the book discusses the best diagnostic techniques and therapeutic approaches, thus helping readers easily identify the best solution for each case. This is a valuable resource for cancer researchers, oncologists, graduate students and other members of the biomedical field who are interested in the potential of biomarkers in cancer research.

Highlights the impact of Covid 19 on science, health and health care system Includes evolution, structure, and mode of infection by virus as well as strategies to attack various organs in the body. Describes emergence of various strains of virus Emphasis new techniques to detect and control the virus Discusses vaccine development to control the pandemic

Molecular Biomarkers in Cancer Detection and Monitoring of Therapeutics, Volume One, Discovery and Technologies discusses how molecular biomarkers are used to determine predisposition, facilitate detection, improve treatment and offer prevention guidelines for different cancer types. This first volume in the series focuses on techniques and approaches recently developed to assist in the decision of which biomarker to use for specific conditions. Topics covered include circulating tumor cells and circulating tumor DNA, exomes, tumor microenvironment, gene editing, artificial intelligence and robotics. In addition, the book discusses the development and applications of organoids and precision medicine. This book will be a valuable resource for cancer researchers, oncologists, graduate students and members of the biomedical field who are interested in the potential of biomarkers in cancer research.

The volume is comprehensively covers emerging technologies for health care, various aspects of biomedical research towards understanding of pathophysiology of the diseases, advances in improvement in diagnostic procedures and therapeutic tools, the fundamental role of biomedical research in the development of new medicinal products

This book, which is the first volume of Biomedical Translational Research, summarizes emerging technologies in healthcare. The book reviews the advancements in biomedical sciences in genomics, immunology, stem cell, tissue engineering, nanotechnology, computational and structural biology, biomedical engineering, and telemedicine biology. The book highlights the applications of artificial intelligence in the diagnosis of infectious diseases and examines the role of system biology approaches for understanding human complexity, variability, and its influence on health and diseases. It presents the applications of flow cytometry in monitoring the progression and treatment of disease. It covers emerging technologies in cancer research, including CRISPR-Cas9, NGS, and nanotechnology. This book is a useful source of information for clinical researchers, basic scientists, biomedical engineers, and computational biologists.

The volume is comprehensively covers emerging technologies for health care, various aspects of biomedical research towards understanding of pathophysiology of the diseases, advances in improvement in diagnostic procedures and therapeutic tools, the fundamental role of biomedical research in the development of new medicinal products

This book, which is the first volume of Biomedical Translational Research, summarizes emerging technologies in healthcare. The book reviews the advancements in biomedical sciences in genomics, immunology, stem cell, tissue engineering, nanotechnology, computational and structural biology, biomedical engineering, and telemedicine biology. The book highlights the applications of artificial intelligence in the diagnosis of infectious diseases and examines the role of system biology approaches for understanding human complexity, variability, and its influence on health and diseases. It presents the applications of flow cytometry in monitoring the progression and treatment of disease. It covers emerging technologies in cancer research, including CRISPR-Cas9, NGS, and nanotechnology. This book is a useful source of information for clinical researchers, basic scientists, biomedical engineers, and computational biologists.

This book presents recent advancements, challenges, and clinical implications of molecular biomarkers in various cancers. This book highlights the clinical applications of biomarkers are extensive for cancer risk assessment, screening and early detection of cancer, accurate diagnosis, patient prognosis, prediction of response to therapy, and cancer surveillance and monitoring response. It also explores the progress of predictive biomarkers as an adjunctive tool to tumor immunotherapy in effectively identifying the efficacy of immune checkpoint inhibitors and discusses their future directions in achieving precision immuno-oncology. Further, the book examines the combination of next-generation sequencing and advanced computational data analysis approaches in the understanding of the genomic underpinnings of cancer development and progression. Towards the end, the chapter discusses the role of some commonly investigated phytochemicals and their epigenetic targets that are of particular interest in cancer prevention and cancer therapy. It is a must for researchers as well as advanced students and physicians in the field of cancer and clinical oncologists.

The volume thus focusses on OMICS (Genomics, proteomics, transcriptomics, metabolonomics) technologies in identifying, characterizing biodiversity Role of molecular techniques for improvement of domestic and non-domestic organisms Animal and alternative model systems (using stem cells, tissue engineering, cell free systems, 3D platforms etc.) for studying life phenomena Genetically Modified Organisms as factories for the products