For as much as we know about DNA and gene expression, many more mysteries remain to be solved. Epigenetics and epigenomics seek to study heritable modifications in gene expression that do not involve underlying DNA sequences to further human health changes. Examining the Causal Relationship Between Genes, Epigenetics, and Human Health provides innovative research methods and applications of chemical activation or deactivation of genes without altering the original DNA sequence. While highlighting topics including gene expression, personalized medicine, and public policy, this book is ideal for researchers, geneticists, biologists, medical professionals, students, and academics seeking current research on the expanding fields of genomics, epigenomics, proteomics, pharmacogenomics, and genome-wide association studies.

Draws from the past and present of medicine in the U.S. to address the emerging future of personal genome medicine.

Even though blockchain technology was originally created as a ledger system for bitcoin to operate on, using it for areas other than cryptocurrency has become increasingly popular as of late. The transparency and security provided by blockchain technology is challenging innovation in a variety of businesses and is being applied in fields that include accounting and finance, supply chain management, and education. With the ability to perform such tasks as tracking fraud and securing the distribution of medical records, this technology is key to the advancement of many industries. The Research Anthology on Blockchain Technology in Business, Healthcare, Education, and Government is a vital reference source that examines the latest scholarly material on trends, techniques, and uses of blockchain technology applications in a variety of industries, and how this technology can further transparency and security. Highlighting a range of topics such as cryptography, smart contracts, and decentralized blockchain, this multi-volume book is ideally designed for academics, researchers, industry leaders, managers, healthcare professionals, IT consultants, engineers, programmers, practitioners, government officials, policymakers, and students.

The rapid development of new technologies has created a lasting impact in the healthcare sector during the past decades. Due to this influence, potential clinical problems have decreased while the quality of healthcare delivery and overall user friendliness has increased and contributed to cost-effective healthcare systems. Biomedical and Clinical Engineering for Healthcare Advancement is an essential reference source that discusses growth in healthcare applications driven by the adoption of new technologies, as well as the expansion of machine learning algorithms for clinical decision making. It focuses on combining vision, motion, data acquisition, and automated control to accelerate the development of affordable and portable medical devices. Featuring research on topics such as artificial intelligence, drug delivery, and retinal imaging, this book is ideally designed for healthcare professionals, biomedical engineers, biomedical professionals, clinicians, hospital directors, physicians, medical students, and clinical researchers.

In studying biology, one of the more difficult factors to predict is how parents’ attributes will affect their children and how those children will affect their own children. Organizing and calculating those vast statistics can become extremely tedious without the proper mathematical and reproductive knowledge. Attractors and Higher Dimensions in Population and Molecular Biology: Emerging Research and Opportunities is a collection of innovative research on the methods and applications of population logistics. While highlighting topics including gene analysis, crossbreeding, and reproduction, this book is ideally designed for academics, researchers, biologists, and mathematicians seeking current research on modeling the reproduction process of a biological population.

The field of healthcare is seeing a rapid expansion of technological advancement within current medical practices. The implementation of technologies including neural networks, multi-model imaging, genetic algorithms, and soft computing are assisting in predicting and identifying diseases, diagnosing cancer, and the examination of cells. Implementing these biomedical technologies remains a challenge for hospitals worldwide, creating a need for research on the specific applications of these computational techniques. Deep Neural Networks for Multimodal Imaging and Biomedical Applications provides research exploring the theoretical and practical aspects of emerging data computing methods and imaging techniques within healthcare and biomedicine. The publication provides a complete set of information in a single module starting from developing deep neural networks to predicting disease by employing multi-modal imaging. Featuring coverage on a broad range of topics such as prediction models, edge computing, and quantitative measurements, this book is ideally designed for researchers, academicians, physicians, IT consultants, medical software developers, practitioners, policymakers, scholars, and students seeking current research on biomedical advancements and developing computational methods in healthcare.

Despite success with treatment when diagnosed early, breast cancer is still one of the most fatal forms of cancer for women. Imaging diagnosis is still one of the most efficient ways to detect early breast changes with mammography among the most used techniques. However, there are other techniques that have emerged as alternatives or even complementary tests in the early detection of breast lesions (e.g., breast thermography and electrical impedance tomography). Artificial intelligence can be used to optimize image diagnosis, increasing the reliability of the reports and supporting professionals who do not have enough knowledge or experience to make good diagnoses. Biomedical Computing for Breast Cancer Detection and Diagnosis is a collection of research that presents a review of the physiology and anatomy of the breast; the dynamics of breast cancer; principles of pattern recognition, artificial neural networks, and computer graphics; and the breast imaging techniques and computational methods to support and optimize the diagnosis. While highlighting topics including mammograms, thermographic imaging, and intelligent systems, this book is ideally designed for medical oncologists, surgeons, biomedical engineers, medical imaging professionals, cancer researchers, academicians, and students in medicine, biomedicine, biomedical engineering, and computer science.

Once thought uncommon, cases of Hashimoto’s thyroiditis are becoming much more commonplace through the increasing use of needle biopsy and serologic tests for antibodies that have led to much more frequent recognition. It is currently one of the most common thyroid disorders with the possibility that it may be increasing in frequency. As diagnostic methods improve, it is imperative that quick treatments are administered to improve the quality of life of patients. Diagnosing and Managing Hashimoto’s Disease: Emerging Research and Opportunities is an essential publication that provides critical reference material for diagnosing and treating Hashimoto’s Disease in a clinical environment. Featuring research on topics such as spontaneous hypothyroidism, papillary thyroid carcinoma, and differential diagnosis, this publication is ideally designed for clinicians, therapists, doctors, nurses, hospital administrators, researchers, educators, academicians, and students looking for the most up-to-date research on treating Hashimoto’s Disease.

The study of pediatric and adolescent medicine is an essential part of medicine as children react to diseases differently than adults. As new viruses continue to emerge, and as procedures are updated and revised, there is a need for comprehensive resources on the new developments and emerging technologies in this field. As medical technologies and innovative practices spread in recent years, it is vital that medical professionals are knowledgeable on the developments in the pediatric field as well. The Research Anthology on Pediatric and Adolescent Medicine presents the developments, emerging technologies, and challenges in pediatric and adolescent medicine. It also explains adolescent health management and promotion as well as recent discoveries on childhood development. Covering topics such as media consumption, neuro-developmental disorders, and health promotion, this book is a critical resource for pediatricians, nurses, medical professionals, hospital administration, behavioral scientists, therapists, psychiatrists, medical students, researchers, and academicians.

After first introducing the concept of epigenetics, this handbook and ready reference provides an overview of the main research on epigenetics. It adopts a multidisciplinary approach, involving molecular biology, molecular epidemiology and nutritional science, with a special focus of the book is on disease prevention and treatment. Of interest to all healthcare-related professionals as well as nutritionists, and the medical community focusing on disease prevention.