Biomedical Informatics in Cancer Research

The book describes the core resources in informatics necessary to support biomedical research programs and how these can best be integrated with hospital systems to receive clinical information that i

This book will review work from a number of researchers who have produced open source software addressing the need for data management, integration, analysis, and visualization to aid cancer research.

Molecular understanding of cancer and cancer progression is at the forefront of many research programs today, and high-throughput array technologies and other modern molecular techniques produce a we

This clear and exhaustive exploration of how statistics, mathematics and informatics have contributed to cancer research describes state-of-the-art biostatics, biomathematics and bioinformatics approa

This book presents authoritative recent research on Biomedical Informatics, bringing together contributions from some of the most respected researchers in this field.Biomedical Informatics represents

Biomedical Informatics is now indispensible in modern healthcare, and the field covers a very broad spectrum of research and application outcomes, ranging from cell to population, and including a numb

A reflection of the explosion of research and development in this field, OMICS: Biomedical Perspectives and Applications explores applications of omics in bioinformatics, cancer research and therapy,

Integrative and translational methodologies and frameworks have transformed modern biomedical research and the delivery of clinical care. This shift has been manifested in a number of ways, including

The book will provide an exhaustive and clear explanation of how Statistics, Mathematics and Informatics have been used in cancer research, and seeks to help cancer researchers in achieving their obje

How biomedical research using various animal species and in vitro cellular systems has resulted in both major successes and translational failure.In Model Systems in Biology, comparative neurobiologist Georg Striedter examines how biomedical researchers have used animal species and in vitro cellular systems to understand and develop treatments for human diseases ranging from cancer and polio to Alzheimer’s disease and schizophrenia. Although there have been some major successes, much of this “translational” research on model systems has failed to generalize to humans. Striedter explores the history of such research, focusing on the models used and considering the question of model selection from a variety of perspectives―the philosophical, the historical, and that of practicing biologists. Striedter reviews some philosophical concepts and ethical issues, including concerns over animal suffering and the compromises that result. He traces the history of the most widely used animal and in

The birthplace of modern humans, Africa, has the highest genetic diversity in the world, yet it remains vastly understudied. With biomedical research increasingly focused on human variation, studying the large population size and number of mutations in African genomes could unravel the complexity of phenotypic traits underlying the biology of our species and hold huge potential for scientific and medical advances. An initial chapter 'conceptualizes Africa', providing relevant terminology. The first section covers genetic history and population structure. The next section looks at the genetic basis of common infectious diseases, such as leishmaniasis, malaria and tuberculosis, with a final part considering common non-communicable diseases, such as diabetes, hypertension, obesity, heart disease and cancer. Gene environment interaction under globalization and the burden of diseases of lifestyle are included. For researchers and graduate students in biological anthropology, genetic anthrop

Information technology is transforming the practices of medicine, nursing, and biomedical research. Computers can now render diagnoses and prognoses more accurately than humans. The concepts of privacy and confidentiality are evolving as data moves from paper to silicon to clouds. Big data promises financial wealth, as well as riches of information and benefits to science and public health. Online access and mobile apps provide patients with an unprecedented connection to their health and health records. This transformation is as unsettling as it is exhilarating. This unique new book is essential for anyone who uses computers in health care, biomedical research or public health, and cares about the ethical issues that arise in their work. With chapters spanning issues from professionalism and quality to mobile health and bioinformatics, it establishes what will become the 'core curriculum' in ethics and health informatics, a growing field which encourages truly inter- and multidiscipli

Mathematical modeling, analysis and simulation are set to play crucial roles in explaining tumor behavior, and the uncontrolled growth of cancer cells over multiple time and spatial scales. This book, the first to integrate state-of-the-art numerical techniques with experimental data, provides an in-depth assessment of tumor cell modeling at multiple scales. The first part of the text presents a detailed biological background with an examination of single-phase and multi-phase continuum tumor modeling, discrete cell modeling, and hybrid continuum-discrete modeling. In the final two chapters, the authors guide the reader through problem-based illustrations and case studies of brain and breast cancer, to demonstrate the future potential of modeling in cancer research. This book has wide interdisciplinary appeal and is a valuable resource for mathematical biologists, biomedical engineers and clinical cancer research communities wishing to understand this emerging field.

Oncofertility has emerged as a way to address potential lost or impaired fertility in cancer patients and survivors, with active biomedical research that is developing new ways to help these individua

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.