The Middle East is known as the cradle of civilization. It was the crossroads of ancient empires and the birthplace of major world religions. Today it is the center of many world issues due to its economic, religious and political importance. Although it has lagged behind many other regions of the world in medicinal research, this has increased dramatically in recent years with increasing numbers of relevant publications and the country of Iran has spearheaded this progress. Much of the research has focused on increasing our understanding of the aging process and attempting to identify biomarkers and natural products to improve the human healthspan. This book provides a comprehensive overview of the research conducted in the Middle East on the health benefits of curcumin, a phytochemical derived from the famous spice turmeric. Hundreds of studies have now been published describing the health benefits of this spice. The importance of this research is exemplified by poor data regarding health and longevity as only 0.08% of the population in Iran consists of individuals over 90 years of age. This is approximately 10 times lower than the percentage of this same age group in the United Kingdom and the United States of America and almost 20 times lower than that in Japan. This book presents a series of reviews and meta-studies describing research which has resulted in identification potential new biomarkers and drug targets for age-related disorders. All of the studies have focussed on the testing of curcumin and related products, which have already shown some promising leads in age-related conditions such as heart-disease, diabetes, cognitive impairment and cancer. The authors in this series come from different centers and cities of Iran, including Mashhad, Tehran, Isfahan, Ahvaz, Birjand, Quchan and Yazd, and many of the chapters feature collaborations with other countries of the Middle East and throughout the world, including Brazil, Italy, Mexico, Oman, Poland, Switzerland, the United Kingdom and the United States of America. This underscores the emergence of the Middle East into this arena of research. The book will be of high interest to scientific and clinical researchers in the subject of aging and age-related disease, and to physicians and pharmaceutical company scientists since it gives insights into the latest strategies, biomarkers and targets involved in the mechanism of action of curcumin to promote healthy aging. It will also provide important information on disease mechanisms related to age-related disorders, as each chapter will be presented in the context of specific chronic diseases.

A must-have guide for any professional in the drug manufacturing industry

The Good Clinical Practice (GCP) audit is a tedious but necessary exercise that assures that all parties do their job properly and in compliance with the applicable FDA code. "Clinical Trials Audit Preparation" demystifies the audit process for all parties involved, including clinical research sponsors, clinical investigators, and institutional review boards.

This book provides a step-by-step explanation of the FDA audit procedures for clinical trials and of how pharmaceutical companies, clinical investigators, and institutional review boards should prepare for regulatory audits. The book emphasizes the processes and procedures that should be implemented before a clinical audit occurs, making this an imperative guide to any professional in the drug manufacturing industry, including drug manufacturing companies, regulatory affairs personnel, clinical investigators, and quality assurance professionals.

Among the topics discussed:

Good Clinical Practices and therapeutic product development in clinical research

The roles of the sponsor of a clinical investigation, the IRB, or independent ethics committee

The roles and responsibilities of the clinical trial investigator

The inspection preparation

The Audit Report and the Form 483

Warning letters issued to clinical investigators and clinical trial sponsors and their impact on product development

In medical and health care the scientific method is little used, and statistical software programs are experienced as black box programs producing lots of p-values, but little answers to scientific questions. The pocket calculator analyses appears to be, particularly, appreciated, because they enable medical and health professionals and students for the first time to understand the scientific methods of statistical reasoning and hypothesis testing. So much so, that it can start something like a new dimension in their professional world. In addition, a number of statistical methods like power calculations and required sample size calculations can be performed more easily on a pocket calculator, than using a software program. Also, there are some specific advantages of the pocket calculator method. You better understand what you are doing. The pocket calculator works faster, because far less steps have to be taken, averages can be used. The current nonmathematical book is complementary to the nonmathematical "SPSS for Starters and 2nd Levelers" (Springer Heidelberg Germany 2015, from the same authors), and can very well be used as its daily companion.

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

Various "omics" methods have recently revolutionized molecular diagnostics. Next-generation sequencing (NGS) makes it possible to sequence a human genome in just one day. Whole genome sequencing (WGS) greatly improves the ability to investigate the outbreaks of numerous pathogens. Metagenomics helps to analyze the microbiome, which aids greatly in identifying the pathogenesis of infectious diseases. Proteomic-based methods, namely matrix-assisted laser desorption-ionization time of flight mass spectrometry (MALDI-TOF-MS), have a promising role in identifying myctobacteria and fungi, and predicting antimicrobial resistance. While there are numerous scientific publications on "omics" applications for microbiology, there are relatively few books that review this topic from a clinical diagnostics perspective. This book looks at this field from a holistic viewpoint, instead of limiting by type of "omics" technology, in order to cover the body of knowledge needed for practitioners and academics interested in clinical and public health microbiology. Additionally, it addresses the management, economical, regulatory and operational aspects of integrating these technologies into routine diagnostics.

Since the very early stages of life, we all experience some form of stress. Stressors can be mild to severe and can range from unsuccessfully longing for maternal milk in infancy, to recklessly wiggling on a motorbike to be on time to watch the NBA finals on TV, to breaking up a relationship. All those events that we call "stress" have the capability of perturbing a given state of psychological and physiological equilibrium and moving it to a different level. The transition from crawling to walking has to be considered a form of stress as much as losing a job. It is through a continuous cross-talk between environmental stressors and individual adaptations that we build our personalities and our ways to cope with daily hassles. External challenges should not necessarily be regarded as "bad", but instead seen as constructive forces forming our ability to navigate a changing world. What is stress good for? What is stress bad for? When and why do we need to be "stressed"? Should we worry about stress? When does stress equate to "normality"? When does it turn into pathology? We hope with this book to provide some answers to these fundamental questions.

With the advent of new technologies in big data science, the study of medical problems has made significant progress. Connecting medical studies and computational methods is crucial for the advancement of the medical industry. Big Data Analytics in HIV/AIDS Research provides emerging research on the development and implementation of computational techniques in big data analysis for biological and medical practices. While highlighting topics such as deep learning, management software, and molecular modeling, this publication explores the various applications of data analysis in clinical decision making. This book is a vital resource for medical practitioners, nurses, scientists, researchers, and students seeking current research on the connections between data analytics in the field of medicine.

This book presents innovative solutions utilising informatics to deal with various issues related to the COVID-19 outbreak. The book offers a collection of contemporary research and development on the management of Covid-19 using health data analytics, information exchange, knowledge sharing, the Internet of Things (IoT), and the Internet of Everything (IoE)-based solutions. The book also analyses the implementation, assessment, adoption, and management of these healthcare informatics solutions to manage the pandemic and future epidemics. The book is relevant to researchers, professors, students, and professionals in informatics and related topics.

This contributed volume applies the insights of supramolecular chemistry to biomedical applications such as ions/water transport through nano-scale channels, gene therapy, tissue engineering and drug delivery, to cite some of the major investigations.The challenge is to understand the mechanisms of transport through tissues particularly in the therapeutic treatment of a disease where the active drug must be delivered directly to diseased cells without affecting healthy cells. As a result, smaller quantities of active substances can be used to treat the disease. Another interest concerns new ways to administer gene therapy. If genes are often delivered to their target cells by adapted viruses, the supramolecular non-viral 'vectors' using dynamic nano-frameworks and nano-structures are presented. In addition, it is important to reconstruct damaged tissues by mimicking natural processes in cells and polymers, such as tissue engineering and self-healing. Different options are here discussed: e.g. hydrogels based on chitosan, a carbohydrate polymer, are proving especially promising for tissue engineering and drug delivery. For controlled delivery of drugs or other biologically active compounds, hydrogels sensitive to the most important stimuli in the human body, such as temperature, pH, ionic strength, glucose and biomolecules released by the organism in pathological conditions have been developed. Finally, to assist and validate the experimental studies, computer modelling and simulations of large-sized molecular structures and systems using different molecular dynamics and quantum mechanical techniques are developed based on the experimental and chemistry synthesis. This book is of great interest for graduate students, researchers and health professionals interested in acquiring a better understanding of the mechanisms of medical treatments. In addition, it provides numerous tools to develop better therapies for human diseases.

Neutrosophic Set in Medical Image Analysis gives an understanding of the concepts of NS, along with knowledge on how to gather, interpret, analyze and handle medical images using NS methods. It presents the latest cutting-edge research that gives insight into neutrosophic set's novel techniques, strategies and challenges, showing how it can be used in biomedical diagnoses systems. The neutrosophic set (NS), which is a generalization of fuzzy set, offers the prospect of overcoming the restrictions of fuzzy-based approaches to medical image analysis.

The areas we deal with in biochemical engineering have expanded to include many various organisms and humans. This book has gathered together the information of these expanded areas in biochemical engineering in Japan. These two volumes are composed of 15 chapters on microbial cultivation techniques, metabolic engineering, recombinant protein production by transgenic avian cells to biomedical engineering including tissue engineering and cancer therapy. Hopefully, these volumes will give readers a glimpse of the past and also a view of what may happen in biochemical engineering in Japan.

The study of molecular events leading to cellular transformation and cancer has progressed considerably during the 1990s. It has become apparent that many genes subject to modification in cancer are, in fact, transcription factors that govern the execution of the genetic programme of the cell. Transcription factors can behave either as oncogenes or as tumor supressor genes. To date only a very limited number of transcription factors have been associated with cancer. This volume gives molecular information on several oncogenes, tumor suppressor genes or chromosomal translocations. Each chapter contains a description of the structure of such transcription factors, the nature of target genes, the regulation of their activities and an explaination of how they can deregulate cell growth and differentiation. This book should be suitable for the specialist scientist and the advanced student

Pregnancy and the Pharmaceutical Industry: The Movement towards Evidence-Based Care for Pregnant Women explores the issues surrounding the decision to undertake clinical trials with pregnant women. There is currently a lack of data on the safety and effectiveness of medications used during pregnancy as it is impossible to extrapolate that information from drug studies on men and non-pregnant women. As a majority of pregnant women confront a medical condition during their pregnancy, from simple pain, to ongoing or new medical issues, this book quantifies the current absence of pregnant women in drug studies and identifies ethical issues, barriers, litigation fears and opportunities. Those in the pharmaceutical industry, IRB members who approve or deny drug study plans, doctors, nurses and midwives working in obstetrics or involved in conducting studies at their institutions will find this book an essential resource.

This book presents a range of current research topics in biological network modeling, as well as its application in studies on human hosts, pathogens, and diseases. Systems biology is a rapidly expanding field that involves the study of biological systems through the mathematical modeling and analysis of large volumes of biological data. Gathering contributions from renowned experts in the field, some of the topics discussed in depth here include networks in systems biology, the computational modeling of multidrug-resistant bacteria, and systems biology of cancer. Given its scope, the book is intended for researchers, advanced students, and practitioners of systems biology. The chapters are research-oriented, and present some of the latest findings on their respective topics.

This edited volume aims to better understand the multifaceted phenomenon we call health. Going beyond simple views of health as the absence of disease or as complete well-being, this book unites scientists and philosophers. The contributions clarify the links between health and adaptation, robustness, resilience, or dynamic homeostasis, and discuss how to achieve health and healthy aging through practices such as hormesis. The book is divided into three parts and a conclusion: the first part explains health from within specific disciplines, the second part explores health from the perspective of a bodily part, system, function, or even the environment in which organisms live, and the final part looks at more clinical or practical perspectives. It thereby gathers, across 30 chapters, diverse perspectives from the broad fields of evolutionary and systems biology, immunology, and biogerontology, more specific areas such as odontology, cardiology, neurology, and public health, as well as philosophical reflections on mental health, sexuality, authenticity and medical theories. The overarching aim is to inform, inspire and encourage intellectuals from various disciplines to assess whether explanations in these disparate fields and across biological levels can be sufficiently systematized and unified to clarify the complexity of health. It will be particularly useful for medical graduates, philosophy graduates and research professionals in the life sciences and general medicine, as well as for upper-level graduate philosophy of science students.

A History of Medical Libraries and Librarianship in the United States: From John Shaw Billings to the Digital Era presents a history of the profession from the beginnings of the Army Surgeon General's Library in 1836 to today's era of the digital health sciences library. The purpose of this book is not only to make this history available to the profession's practitioners, but also to provide context as medical librarians and libraries enter a new age in their history as the digital information environment has undercut the medical library's previous role as the depository of the print based KBI/information base. The book divides the profession's history is divided into seven eras: 1. The Era of the Library of the Office of the Army Surgeon General and John Shaw Billings - 1836 - 1898 2. The Era of the Gentleman Physician Librarian - 1898 to 1945 3. The Era of the Development of the Clinical Research Infrastructure (NIH), the Rapid Expansion in Funded and Published Clinical Research and the Emergence of Medical Librarianship as a Profession - 1945 - 1962 4. The Era of the Development of the National Library of Medicine, Online digital Subject Searching (Medline) and the Creation of the National Health Science Library Infrastructure- 1962 - 1975 5. The Medline Era - A Golden Age for Medical Libraries - 1975 - 1995 6. The Era of Universal Access to Information and the Transition from Paper to Digitally Based Medical Libraries - 1995 - 2015 7. The Era of the Digital Health Sciences Library - 2015 - Each era is reviewed through discussing the developments in the field and the factors which drove those developments. The book will provide current and future medical librarians and information specialists an understanding of the development of their profession and some insights into its future.

The second of two companion books which address the biology and clinical aspects of prostate cancer. This volume, Prostate Cancer: Molecular & Diagnostic Imaging and Treatment Stategies, discusses both classic and the most recent imaging approaches for detection, early diagnosis and treatment of prostate cancer. The companion title, Cell & Molecular Biology of Prostate Cancer, covers classic and modern cell and molecular biology as well as genetics, epigenetics, mitochondrial dysfunctions and apoptosis, cancer stem cells, angiogenesis, progression to metastasis, and treatment strategies including clinical trials related to prostate cancer. Taken together, these volumes form one comprehensive and invaluable contribution to the literature.

This edited book explores the use of technology to enable us to visualise the life sciences in a more meaningful and engaging way. It will enable those interested in visualisation techniques to gain a better understanding of the applications that can be used in visualisation, imaging and analysis, education, engagement and training. The reader will also be able to learn about the use of visualisation techniques and technologies for the historical and forensic settings. The reader will be able to explore the utilisation of technologies from a number of fields to enable an engaging and meaningful visual representation of the biomedical sciences. The chapters presented in this volume cover such a diverse range of topics, with something for everyone. We present here chapters on technology enhanced learning in neuroanatomy; 3D printing and surgical planning; changes in higher education utilising technology, decolonising the curriculum and visual representations of the human body in education. We also showcase how not to use protective personal equipment inspired by the pandemic; anatomical and historical visualisation of obstetrics and gynaecology; 3D modelling of carpal bones and augmented reality for arachnid phobias for public engagement. In addition, we also present face modelling for surgical education in a multidisciplinary setting, military medical museum 3D digitising of historical pathology specimens and finally computational fluid dynamics.

This book offers a state-of-the-art report on recent discoveries concerning the basic and clinical, neuroscientific and psychiatric findings in depression research. Depressive disorder is a severe and recurrent brain disorder that can manifest in depressive mood, somatic symptoms and cognitive impairment. The underlying mechanisms of depressive disorder and its clinical practice are subjects of long-standing interests. This book is a biologically plausible and multilevel theory which describes neural, physiological, molecular and genomic mechanisms that drive depression pathogenesis, as well as navigates the clinical practice and management for depressive disorder. It mainly describes advances made over the past 20 years on the neural, molecular, neuroimaging, physiology, pathophysiology, pharmacology and internet-based measurement and management of depressive disorder. It will help postgraduate students and academic researchers to get either basic or clinical picture of depressive disorder. Also, it may benefit pharmaceutical companies for developing novel drugs to treat this disease.

"This book uses Caenorhabditis elegans as model animal to introduce the toxicity induction of toxicants at environmentally relevant concentrations under different conditions. It also discusses the systematic introduction of different molecular signaling pathways, as well as G protein coupled receptors and ion channels, in regulating the toxicity of toxicants at environmentally relevant concentrations. The intestinal, neuronal, and germline molecular networks required for the regulation of toxicity of toxicants at environmentally relevant concentrations is further introduced and discussed. This book aims at providing a systematic understanding of the knowledge system on toxicology at environmentally relevant concentrations in Caenorhabditis elegans. "

#10 on Amazon Charts, USA Today Bestseller "This book is my best attempt to tell the truth about my research, the culture in science today which is hostile to new ideas, and what science can really do if allowed to pursue promising areas of inquiries."-Dr. Judy Mikovits, PhD This is a story for anybody interested in the peril and promise of science at the very highest levels in our country. On July 22, 2009, a special meeting was held with twenty-four leading scientists at the National Institutes of Health to discuss early findings that a newly discovered retrovirus was linked to chronic fatigue syndrome (CFS), prostate cancer, lymphoma, and eventually neurodevelopmental disorders in children. When Dr. Judy Mikovits finished her presentation, the room was silent for a moment, then one of the scientists said, "Oh my God!" The resulting investigation would be like no other in science. For Dr. Mikovits, a twenty-year veteran of the National Cancer Institute, this was the midpoint of a five-year journey that would start with the founding of the Whittemore-Peterson Institute for Neuro-Immune Disease at the University of Nevada, Reno, and end with her as a witness for the federal government against her former employer, Harvey Whittemore, for illegal campaign contributions to Senate Majority Leader Harry Reid. On this journey Dr. Mikovits would face the scientific prejudices against CFS, wander into the minefield that is autism, and through it all struggle to maintain her faith in God and the profession to which she had dedicated her life.

This collection thoroughly explores the dynamic and ever-developing field of hemostasis and thrombosis diagnostics and research. After an introductory section covering the basics and preanalytical issues, the book continues with in-depth sections that explore how to get the best outcomes from routine coagulation and specialized hemostasis assays, thrombophilia-related techniques, investigations into bleeding disorders, as well as performance of global assays of hemostasis, and finally post-analytical issues in hemostasis and thrombosis testing. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Comprehensive and practical, Hemostasis and Thrombosis: Methods and Protocols serves as an ideal resource for researchers and diagnostic laboratories seeking expert guidance and working to identify the best methodologies to pursue hemostasis and thrombosis testing.

The world is faced with an epidemic of metabolic diseases such as obesity and type 2 diabetes. This is due to changes in dietary habits and the decrease in physical activity. Exercise is usually part of the prescription, the first line of defense, to prevent or treat metabolic disorders. However, we are still learning how and why exercise provides metabolic benefits in human health. This open access volume focuses on the cellular and molecular pathways that link exercise, muscle biology, hormones and metabolism. This will include novel "myokines" that might act as new therapeutic agents in the future.

Adequate health and health care is no longer possible without proper data supervision from modern machine learning methodologies like cluster models, neural networks, and other data mining methodologies. The current book is the first publication of a complete overview of machine learning methodologies for the medical and health sector, and it was written as a training companion, and as a must-read, not only for physicians and students, but also for any one involved in the process and progress of health and health care. In this second edition the authors have removed the textual errors from the first edition. Also, the improved tables from the first edition, have been replaced with the original tables from the software programs as applied. This is, because, unlike the former, the latter were without error, and readers were better familiar with them. The main purpose of the first edition was, to provide stepwise analyses of the novel methods from data examples, but background information and clinical relevance information may have been somewhat lacking. Therefore, each chapter now contains a section entitled "Background Information". Machine learning may be more informative, and may provide better sensitivity of testing than traditional analytic methods may do. In the second edition a place has been given for the use of machine learning not only to the analysis of observational clinical data, but also to that of controlled clinical trials. Unlike the first edition, the second edition has drawings in full color providing a helpful extra dimension to the data analysis. Several machine learning methodologies not yet covered in the first edition, but increasingly important today, have been included in this updated edition, for example, negative binomial and Poisson regressions, sparse canonical analysis, Firth's bias adjusted logistic analysis, omics research, eigenvalues and eigenvectors.

Statistical Evidence in Medical Trials is a lucid, well-written and entertaining text that addresses common pitfalls in evaluating medical research. Including extensive use of publications from the medical literature and a non-technical account of how to appraise the quality of evidence presented in these publications, this book is ideal for health care professionals, students in medical or nursing schools, researchers and students in statistics, and anyone needing to assess the evidence published in medical journals. Stephen D. Simon earned a Ph.D. in statistics from the University of Iowa in 1982. He currently works as a research biostatistician at Children's Mercy Hospitals and Clinics in Kansas City, MO. He has authored or co-authored over 60 publications in a variety of medical and statistical journals, four of which have won awards. He has given a wide range of lectures and classes on statistics, evidence based medicine, research ethics, and quality control.