Scientists working or planning to work in the field of cardiovascular research will welcome Practical Methods in Cardiovascular Research as the reference book they have long been waiting for. Not only general aspects of cardiovascular research are well presented, but also detailed descriptions of methods and protocols and practical examples. Written by leading scientists in their field, chapters cover classical methods such as the Langendorff heart or working heart models as well as numerous new techniques and methods. Newcomers and experienced researchers alike will benefit from the troubleshooting guide in each chapter, the extensive reference lists for advanced reading and the great practical experience of the authors. Practical Methods in Cardiovascular Research is therefore a long awaited "must have" for anybody with an interest in cardiovascular research.

Presents health benefits and medicinal importance of dietary polyphenols having antioxidative effects and their possible preventive role against oxidative stress (OS)-induced chronic human diseases Summarizes latest understanding on the biochemical mechanism(s) involved in the antioxidative action of dietary polyphenols along with their bioavailability, pharmacokinetic, and toxicological considerations Highlights novel approaches of drug discovery from dietary polyphenols through computational screening of bioactive phytochemical components

While regression models have become standard tools in medical research, understanding how to properly apply the models and interpret the results is often challenging for beginners. Regression Models as a Tool in Medical Research presents the fundamental concepts and important aspects of regression models most commonly used in medical research, including the classical regression model for continuous outcomes, the logistic regression model for binary outcomes, and the Cox proportional hazards model for survival data. The text emphasizes adequate use, correct interpretation of results, appropriate presentation of results, and avoidance of potential pitfalls. After reviewing popular models and basic methods, the book focuses on advanced topics and techniques. It considers the comparison of regression coefficients, the selection of covariates, the modeling of nonlinear and nonadditive effects, and the analysis of clustered and longitudinal data, highlighting the impact of selection mechanisms, measurement error, and incomplete covariate data. The text then covers the use of regression models to construct risk scores and predictors. It also gives an overview of more specific regression models and their applications as well as alternatives to regression modeling. The mathematical details underlying the estimation and inference techniques are provided in the appendices.

The growth of the pharmaceutical industry over the past decade is astounding, but the impact of this growth on statistics is somewhat confusing. While software has made analysis easier and more efficient, regulatory bodies now demand deeper and more complex analyses, and pharmacogenetic/genomic studies serve up an entirely new set of challenges. For more than two decades, Statistics in the Pharmaceutical Industry has been the definitive guide to sorting through the challenges in the industry, and this Third Edition continues that tradition. Updated and expanded to reflect the most recent trends and developments in the field, Statistics in the Pharmaceutical Industry, Third Edition presents chapters written by experts from both regulatory agencies and pharmaceutical companies who discuss everything from experimental design to post-marketing studies. This approach sheds light on what regulators consider acceptable methodologies and what methods have proven successful for industrial statisticians. Both new and revised chapters reflect the increasingly global nature of the industry as represented by authors from Japan and Europe, the increasing trend toward non-inferiority/equivalence testing, adaptive design in clinical trials, global harmonization of regulatory standards, and multiple comparison studies. The book also examines the latest considerations in anti-cancer studies. Statistics in the Pharmaceutical Industry, Third Edition demystifies the approval process by combining regulatory and industrial points of view, making it a must-read for anyone performing statistical analysis at any point in the drug approval process.

This book addresses hot issues in the research and management of difficult-to-treat medical disorders that are commonly encountered, but for which the underlying mechanisms are often unknown. These include the adverse effects of hemodialysis and its biocompatibility in chronic kidney insufficiency, particularly related to malnutrition and inflammation, or the vulnerability of cancer patients to bacterial meningitis, the infection that remains underdiagnosed due to limited expression of symptoms. The book also covers other key topics, such as the psychological care of lung cancer patients; difficulties in the diagnosis of diffuse axonal injury in traumatic brain injury - a disorder with a poor prognosis and high mortality rate; and the virological aspects of seasonal influenza epidemic outbreaks - a perennial modern scourge. Further, it addresses recent developments in targeted drug delivery from titanium implants and a novel integrated thermal approach to rehabilitation of neurodegeneration-related disabilities. Featuring the latest interdisciplinary trends in biomedicine, this book connects research, theory and practice to help alleviate suffering caused by a variety of diseases. It is a resource for medical professionals, including academics, practitioners and all allied healthcare workers.

This detailed book provides an accessible compendium of up-to-date methods in the fields of environmental toxicology, molecular toxicology, and toxicogenomics. Organized into four major sections, the volume examines methods utilizing model animal species, such as nematode, fruit fly, mice, chicken, and amphibians, methods using plants to study chemical toxicity, applying the Ames assay to chemical mutagenicity study, as well as methods for environmental chemical analysis. Although this book is divided into these parts, the methods can be used across species. Written for the highly successful Methods in Molecular Biology series, 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. Authoritative and practical, Environmental Toxicology and Toxicogenomics: Principles, Methods, and Applications serves as a valuable resource for the scientific community, particularly for young scientists and graduate and undergraduate students, inspiring more research in the vitally important field of environmental toxicity, molecular toxicology, and toxicogenomics.

This book contains an extensive collection of critical reviews, from leading researchers in the field of regulated protein degradation. It covers the role of regulated proteolysis in a range of microorganisms (from Gram positive, Gram negative and pathogenic bacteria to Archaea and the Baker s yeast Saccharomyces cerevisiae)."

This detailed volume explores the methods used for most of the recent approaches to suicide gene therapy of cancer, which exploits promoters that are specific to cancer cells, thereby ensuring (or greatly increasing the likelihood) that the therapeutic gene is expressed only in cancer cells. The book also contains chapters describing methods to improve the safety of cell therapy and techniques utilizing bone marrow mesenchymal cells. Written for the highly successful Methods in Molecular Biology series, 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. Authoritative and practical, Suicide Gene Therapy: Methods and Protocols serves as an ideal guide for researchers expanding upon our knowledge and application of this vital form of cancer therapy.

Phillips and Ruth Thygeson were pioneers in medical research on external diseases of the human eye. Together, this husband-and-wife team shared a mutual story of extraordinary accomplishment including, among other things, the discovery of the cause and the cure of trachoma, a potentially blinding disease that affects millions of people worldwide.This comprehensive biography tells the complete story of their personal lives and careers. Beginning with each of their childhoods, the story continues through their meeting on the campus of Stanford University, their years of practicing ""frontier medicine"" in rural Colorado (where they built a log cabin with their own hands), their world travels in search of a cure for trachoma, and their considerable roles in establishing the Francis I. Proctor Foundation for Research in Ophthalmology. The story of this couple is one of a lifelong collaboration in medicine, a 70-year love affair, and an unending quest to conquer preventable blindness around the world.

This volumes details methods focusing on technological innovation and recent advances in diabetes management. Chapters will guide readers through recent advances, beta-cell regeneration, non-invasive imaging of endogenous, transplanted islets theranostics, microRNA profiling of beta-cells and artificial intelligence, and deep learning algorithms in diabetes. Written in the 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 protocols, and notes on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Type-1 Diabetes: Methods and Protocols is for a broad audience including basic researches, clinicians, and physician scientists whose major focus is in diabetes.

Gives a convenient summary of trials in Gynecologic Oncology Supplies an invaluable revision primer for those undertaking certification Provides a uniquely up-to-date resource

The aim of this unique volume is to help medical researchers design clinical trials to improve survival, remission duration, or time to recurrence of disease. Written in a user-friendly step-by-step format, this work enables the researcher-with no background in statistics-to determine sample size and write statistical considerations for their protocols. It provides critical language which can help with FDA submissions and/or research grants. It also provides the mathematical justification of the material at a level consistent with one year of undergraduate mathematical statistics. It presents survival analysis methods at a more elementary level than any known text. Filled with tables, figures, plus an extensive appendix, this one-of-a-kind reference is an absolute must for all clinical researchers and biostatisticians.

This volume explores the recent advances in the study of translational paths in central inflammation and focuses on ongoing pathophysiological processes and the transition between inflammatory stages and progressive states with neurodegeneration. Chapters cover topics such as pathophysiological hallmarks of neuroinflammation from tissue damage to reorganization; connecting studies of mouse models; and investigations of humans with multiple sclerosis. In the Neuromethods series style, chapters include the kind of detail and key advice from the specialists needed to get successful results in your laboratory. Cutting-edge and practical, Translational Methods for Multiple Sclerosis Research is a valuable resource for researchers who want to learn more about this chronic ad progressive disease, and pave the way for new advancements.

Clinical Trial Optimization Using R explores a unified and broadly applicable framework for optimizing decision making and strategy selection in clinical development, through a series of examples and case studies. It provides the clinical researcher with a powerful evaluation paradigm, as well as supportive R tools, to evaluate and select among simultaneous competing designs or analysis options. It is applicable broadly to statisticians and other quantitative clinical trialists, who have an interest in optimizing clinical trials, clinical trial programs, or associated analytics and decision making. This book presents in depth the Clinical Scenario Evaluation (CSE) framework, and discusses optimization strategies, including the quantitative assessment of tradeoffs. A variety of common development challenges are evaluated as case studies, and used to show how this framework both simplifies and optimizes strategy selection. Specific settings include optimizing adaptive designs, multiplicity and subgroup analysis strategies, and overall development decision-making criteria around Go/No-Go. After this book, the reader will be equipped to extend the CSE framework to their particular development challenges as well.

In Silico Drug Discovery and Design: Theory, Methods, Challenges, and Applications provides a comprehensive, unified, and in-depth overview of the current methodological strategies in computer-aided drug discovery and design. Its main aims are to introduce the theoretical framework and algorithms, discuss the range of validity, strengths and limitations of each methodology, and present applications to real world problems in the drug discovery arena. Special emphasis has been given to the emerging and most pressing methodological challenges in in silico drug discovery and design. The book assumes a basic knowledge of physical principles and molecular modeling. Particular attention has been paid to outline the underlying physico-chemical foundation of the methods described, thus providing the necessary background to avoid a "black-box" approach. In each self-contained chapter, this is presented together with the latest developments and applications, and the challenges that lie ahead. Assembling a unique team of experts to weigh in on the most important issues influencing modern computational drug discovery and design, this book constitutes both a desktop reference to academic and industrial researchers in the field, and a textbook for students in the area of molecular modeling and drug discovery. Comprised of 18 chapters and divided into three parts, this book: Provides a comprehensive, unified, and in-depth overview of the current methodological strategies in computer-aided drug discovery and design Outlines the underlying physico-chemical foundation of the methods described Presents several applications of computational methods to real world problems in the drug design field Helps to avoid a "black-box" approach to in silico drug discovery Constitutes an actual textbook for students in the area of molecular modeling and drug discovery Gives the reader the adequate background to face the current challenges of the field In Silico Drug Discovery and Design: Theory, Methods, Challenges, and Applications describes the theoretical framework, methods, practical applications and case examples relevant to computer-aided drug lead discovery and design. This text will surely aid in understanding the underlying physical foundation of computational tools and their range of application, thus facilitating the interpretation of simulation results.

Features Represents the first book to provide comprehensive coverage of model-assisted designs for various types of dose-finding and optimization clinical trials Describes the up-to-date theory and practice for model-assisted designs Presents many practical challenges and issues arising from early-phase clinical trials Illustrates with many real trial applications Offers numerous tips and guidance on designing dose finding and optimization trials Provides step-by-step illustration of using software to design trials Develops a companion website (www.trialdesign.org) to provide easy-to-use software to assist learning and implementing model-assisted designs.

This is the first book that comprehensively and systematically describes the new technology of hydrophilic interaction liquid chromatography (HILIC). Hydrophilic interaction chromatography is a separation technique suitable for polar and hydrophilic compounds and orthogonal to reversed phase liquid chromatography. From small organic molecules to proteins, the text explores the many applications of HILIC in the analytical field. Winner of the President's Award for Excellence, the author explains how HILIC can significantly improve analytical throughput by shortening sample preparation procedure, which is one of the bottlenecks for drug discovery and development in the pharmaceutical industry.

Participatory Visual Methodologies in Global Public Health focuses on the use of participatory visual methodologies such as photovoice, participatory video (including cellphilming or the use of cell phones to make videos), drawing and mapping in public health research. These approaches are modes of inquiry that can engage participants and communities, eliciting evidence about their own health and well-being, as well as modes of representation and modes of production in the co-creation of knowledge, and modes of dissemination in relation to knowledge translation and mobilization. Thus, the production by a group of girls or young women of a set of photos or videos from their own visual perspective can offer new evidence on how, for example, they see sexual violence. Unlike other data such as those collected through surveys or even conventional interviews, the images they have produced not only inform the empirical evidence, but also do not need to remain in a laboratory or the office of a researcher. They can, through exhibitions and screenings, reach various audiences: school or health personnel, parents and community members, and perhaps also policy-makers. This collection offers a critical overview for students, practitioners, researchers and policy-makers working in or concerned with the use of participatory methodologies in public health around the globe. This book was originally published as a special issue of Global Public Health.

Standardizing Pharmacology: Assays and Hormones, Volume Two in the Discoveries in Pharmacology series, presents selected articles from historic discoveries that are enhanced with commentary from contemporary scholars who present discussions on the importance of each chapter, along with an updated bibliography on the subject and contributions from a Nobel Prize winner and other pioneers in pharmacology. Academic and industry researchers in pharmacology and medicine, as well as advanced students will find this series a useful teaching tool and launch to new discoveries. Sections cover key discoveries in receptor theory, pharmacological methods and the development of hormone therapy, including J. Parascandola on the development of receptor theory, R.S. Yalow on radioimmunoassay, M. van Rossum and J.T L.A. Hurkmans on bioassays, M. Tausk on androgen therapy and C. Djerassi on oral contraceptives, with commentaries from experts such as T. Hoekfelt and V.C. Jordan.

Written by the international community's leading experts, Trace Elements in Laboratory Rodents describes the best and most current methods to provide deficient or supplemental trace elements to laboratory animals, as well as how to assay them. The experts warn of the common pitfalls and hidden problems in nutritional testing and how to avoid them. This how-to approach focuses on the technical details that make good, reliable studies. Common as well as rare or recently recognized minerals are described relating to both dietary supplementation and measurement in tissues.
If you are a researcher, professor, or student working in nutrition, food science, biochemistry, or veterinary medicine, you can't afford to be without this excellent hands-on methods manual!

**THE SUNDAY TIMES BESTSELLER | BBC RADIO 4 BOOK OF THE WEEK** Preventable tells the extraordinary story of COVID-19 and how global politics shape our health - from a world-leading expert and the pandemic's go-to science communicator Professor Devi Sridhar has risen to prominence for her vital roles in communicating science to the public and speaking truth to power. In Preventable she highlights lessons learned from outbreaks past and present in a narrative that traces the COVID-19 pandemic - including her personal experience as a scientist - and sets out a vision for how we can better protect ourselves from the inevitable health crises to come. In gripping and heartfelt prose, Sridhar exposes the varied realities of those affected (from the jailed doctor in Wuhan who sounded the alarm, and the bored passengers marooned on the Diamond Princess cruise ship, to the daily nightmares of exhausted healthcare workers), and puts you in the room with key decision makers at crucial moments (from over-confident heads of states and their hesitant scientific advisors, to the beleaguered leaders of global health organisations). Sridhar vibrantly conveys the twists and turns of a plot that saw: deadlier variants emerge (contrary to the predictions of social media pundits who argued it would mutate to a milder form); the Pyrrhic victory in many countries of the false narrative of health versus the economy (those countries which controlled the virus, like Taiwan and Denmark, had a steadier recovery); countries with weak health systems like Senegal and Vietnam fare better than countries like the US and UK (which were consistently ranked as the most prepared); and the quickest development of game-changing vaccines in history (and their unfair distribution). Combining science, politics, ethics and economics, this definitive book dissects the global structures that determine our fate, and reveals the deep-seated economic and social inequalities at their heart - it will challenge, outrage and inspire. 'A brutally compelling reminder that if voices like Devi's had been listened to, so many more could have lived' OWEN JONES 'One of the most brilliant scientists in the world who has been proven consistently right in this crisis' PIERS MORGAN 'Excellent . . . Fair, clear and compelling' NICOLA STURGEON 'Those who have found Professor Devi Sridhar's expertise and calm advice invaluable since the arrival of Covid-19 will be glad to know that she has written Preventable' RACHEL COOKE, Guardian, Non-fiction to look out for in 2022

Translating laboratory discoveries into successful therapeutics can be difficult. Clinical Trials in Neurology aims to improve the efficiency of clinical trials and the development of interventions in order to enhance the development of new treatments for neurologic diseases. It introduces the reader to the key concepts underpinning trials in the neurosciences. This volume tackles the challenges of developing therapies for neurologic disorders from measurement of agents in the nervous system to the progression of clinical signs and symptoms through illustrating specific study designs and their applications to different therapeutic areas. Clinical Trials in Neurology covers key issues in Phase I, II and III clinical trials, as well as post-marketing safety surveillance. Topics addressed include regulatory and implementation issues, outcome measures and common problems in drug development. Written by a multidisciplinary team, this comprehensive guide is essential reading for neurologists, psychiatrists, neurosurgeons, neuroscientists, statisticians and clinical researchers in the pharmaceutical industry.

This book centers on gene therapy and gene transfer approaches to prevent or treat chronic virus infections. The main focus is on the Big Three: human immunodeficiency virus (HIV-1), hepatitis B virus (HBV) and hepatitis C virus (HCV). Ample anti-HIV drugs are currently available in the clinic and the development of an effective combination therapy has dramatically improved the lifespan and quality of life of infected individuals. A similar trend can already be recognized for HBV and HCV: the development of multiple (directly acting) antiviral drugs and plans to control or even cure the infection. However, approaches that help prevent infection, or which provide long-lasting treatment (such as a cure) remain important goals. Immunization through gene transfer vehicles encoding immunogenic viral proteins shows promise in preventing infections with complex, highly variable, viruses such as HIV-1 or HCV. Gene therapy applications for virus infections have been discussed since the early 1990's. Whereas a true cure seems difficult to achieve for HIV-1 due to its intrinsic property to deposit its genome into that of the host, such attempts may be within reach for HCV where spontaneous viral clearance occurs in a small percentage of the infected individuals. The prospect of original gene therapy approaches may provide alternative ways to reach the same endpoint by, for example, silencing of CCR5 expression post-transcriptionally. Many alternative antiviral strategies have been developed based on a variety of novel molecular methods: e.g. ribozymes. Some studies have progressed towards pre-clinical animal models and a few antiviral gene therapies have progressed towards clinical trials. This book provides an overview of this rapidly progressing field, while focusing on the interface of gene therapy and immunology/vaccinology.

The set of techniques known collectively as real-time data capture (RTDC) is becoming increasingly important in medical research. Based on the collection of data in people's typical environments, RTDC is primarily used with self-reported data, such as medical symptoms and psychological states. Now, its guiding principles and supporting technologies also provide a framework for scientists to monitor physiological information such as heart rate, blood pressure, and skin conductance. This volume gives the most complete view yet of the state of RTDC science and its potential for use across the health and behavioural sciences.

How do we identify and measure human disease in the past? In the absence of soft tissue, paleoepidemiologists have developed ingenious ways of assessing illness and mortality in archaeological populations. In this volume, the key methods of epidemiology are outlined for non-specialists, showing the importance of studying prevalence over incidence, adjustments needed in studying past groups, how to compare studies, and the dangers of assessing occupation based upon bone evidence. A model for planning a proper paleoepidemiological study concludes the volume. Both as an introduction to epidemiology for archaeologists, and as a primer on archaeological analysis for epidemiologists, this book should serve the needs of both populations.