Concepts and Methodology in Cancer Diagnostics: An Immunological, Biochemical and Molecular Approach provides an exclusive combination of all basics and recent techniques, methodology, and advancements in the field of cancer diagnostics. With a strong focus on the procedures and techniques involved in cancer diagnostics, content also gives insight into the molecular tests required for different tumors for the administration of targeted drugs and precision medicine. In 11 chapters Concepts and Methodology in Cancer diagnostics: An Immunological, Biochemical and Molecular Approach introduces the methods and technologies based on DNA and RNA based biomarkers, biochemical and immunological markers, genetic signatures, epigenetic changes and exosomes in blood, and tissue and body fluids. There is also additional focus on specific mutations and expression markers that are utilized for the diagnosis of cancers of unknown primary origin (CUPs). Concepts and Methodology in Cancer Diagnostics: An Immunological, Biochemical and Molecular Approach presents a compilation of imperative topics and includes lists of the necessary materials and reagents needed, step-by-step instructions, readily reproducible laboratory protocols, as well as tips on troubleshooting and known pitfalls. This book is a valuable resource for medical professionals and researchers to understand the concepts of validated protocols and methodology in diagnosing cancer, its prognosis, and predictive value.

Advances in Cancer Biomarkers Research provides a thorough and detailed description of cancer biomarkers for diagnostic, prognostic and therapeutics in several cancer types. The book presents a compendium of topics related to current advanced research, along with fundamental knowledge that will help readers fully comprehend the field of cancer biomarkers. Topics discussed include such the role of genetic mechanisms, epigenetics, DNA and microRNA in different cancers, signaling pathways and exosomes. In addition, the book discusses biomarker research applied to several cancer types, such as head and neck, urological, lung, bone tumors, hematological and neurological malignancies and breast cancers.This 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 and treatment.

This book reviews that narrate the development of current technologies under the theme of the emerging concept of healthcare, specifically in terms of what makes healthcare more efficient and effective with the help of high-precision algorithms. The mechanism that drives it is machine learning, deep learning, big data, and Internet of Things (IoT)-the scientific field that gives machines the ability to learn without being strictly programmed. It has emerged together with big data technologies and high-performance computing to create new opportunities to unravel, quantify, and understand data-intensive processes in healthcare operational environments. This book offers comprehensive coverage of the most essential topics, including: Introduction to e-monitoring for healthcare Case studies based on big data and healthcare Intelligent learning analytics in healthcare sectors using machine learning and IoT Identifying diseases and diagnosis using machine learning and IoT Deep learning architecture and framework for healthcare using IoT Knowledge discovery from big data of healthcare-related processing Big data and IoT in healthcare Role of IoT in sustainable healthcare A heterogeneous IoT-based application for remote monitoring of physiological and environmental parameters