Seema Nayak – författare

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. Provides a unique combination of basic and latest advancements in the field of cancer biomarkers, with a strong interdisciplinary approach Presents an updated roadmap for researchers, enabling them to learn the role of different biomarkers in cancer diagnosis and therapy and easily apply the knowledge gained to their work Discusses the complex mechanisms and pathways associated with cancer biomarkers through case studies, examples and illustrations

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.- Provides a unique combination of basic and latest advancements in the field of cancer biomarkers, with a strong interdisciplinary approach- Presents an updated roadmap for researchers, enabling them to learn the role of different biomarkers in cancer diagnosis and therapy and easily apply the knowledge gained to their work- Discusses the complex mechanisms and pathways associated with cancer biomarkers through case studies, examples and illustrations

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 insights into the molecular tests required for different tumors for the administration of targeted drugs and precision medicine. In 11 chapters. The book also 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.Readers will find a compilation of imperative topics and 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 who want to understand the concepts of validated protocols and methodologies in diagnosing cancer, its prognosis, and predictive value.

Discusses and provides solutions for quality control procedures in antibody tests in cancer diagnosticsGives insights into the limitations and biasness of biomarker testing, specifically immunohistochemical and molecular markersProvides procedures and addresses the challenges related to quality control, proficiency testing, accuracy, and precision of biomarker testing in cancerExplores numerous methods used in basic and diagnostic laboratories to characterize cancer-related biomarkers, including cancer risk assessment, diagnosis, and determination of cancer progression

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 insights into the molecular tests required for different tumors for the administration of targeted drugs and precision medicine. In 11 chapters. The book also 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.Readers will find a compilation of imperative topics and 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 who want to understand the concepts of validated protocols and methodologies in diagnosing cancer, its prognosis, and predictive value.- Discusses and provides solutions for quality control procedures in antibody tests in cancer diagnostics- Gives insights into the limitations and biasness of biomarker testing, specifically immunohistochemical and molecular markers- Provides procedures and addresses the challenges related to quality control, proficiency testing, accuracy, and precision of biomarker testing in cancer- Explores numerous methods used in basic and diagnostic laboratories to characterize cancer-related biomarkers, including cancer risk assessment, diagnosis, and determination of cancer progression

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

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

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 healthcareCase studies based on big data and healthcareIntelligent learning analytics in healthcare sectors using machine learning and IoTIdentifying diseases and diagnosis using machine learning and IoTDeep learning architecture and framework for healthcare using IoTKnowledge discovery from big data of healthcare-related processingBig data and IoT in healthcareRole of IoT in sustainable healthcareA heterogeneous IoT-based application for remote monitoring of physiological and environmental parameters