![]() |
![]() |
Your cart is empty |
||
Books > Medicine > General issues > Medical equipment & techniques > Medical research
This book addresses the structural and biological properties of dental and peridental tissue structures and covers their mineralization process. The book contains a description of dentines, cementum, enamel and bone, including collagens, as well as non-collagenous proteins (SIBLINGs, SLRPs, GAGs, PGs, lipids, and MMPs). The mechanisms of mineralization are described in detail and the book is focused on matrix vesicles, collagen mineralization and the role of non-collagenous extracellular matrix components either as promoters or inhibitors of mineralization. In addition, the matrix components (non-collagenous) of enamel (amelogenin, ameloblastin, enamelin, MMP4, MMP20 and other proteases) are reviewed and their respective roles in dental tissues biomineralizations and tissue turnover are discussed. Additionally, environmental factors involved in enamel / dentin defects are adressed. With state-of-the-art contributions from experts in the respective domains, the book is a useful introduction to the field for junior scientists, interested in dental and peridental tissue biomineralization. It is also an interesting read for advanced scientists and clinicians working in dental research, giving them a broader view of the topic beyond their area of specialization. The series Biology of Extracellular Matrix is published in collaboration with the American Society for Matrix Biology.
Practical Biostatistics: A Step-by-Step Approach for Evidence-Based Medicine, Second Edition presents a complete resource of biostatistical knowledge meant for health sciences students, researchers and health care professionals. The book's content covers the investigator's hypothesis, collective health, observational studies, the biostatistics of intervention studies, clinical trials and additional concepts. Chapters are written in a didactic way, making them easier to comprehend by readers with little or no background on statistics. Evidence-based medicine aims to apply the best available evidence gained from the scientific method to medical decision-making using statistical analyses of scientific methods and outcomes to drive further experimentation and diagnosis. With a detailed outline of implementation steps complemented by a review of important topics, this book can be used as a quick reference or hands-on guide on how to effectively incorporate biostatistics in clinical trials and research projects.
The third edition of this innovative work again provides a unique
perspective on the clinical discovery process by providing input
from experts within the NIH on the principles and practice of
clinical research. Molecular medicine, genomics, and proteomics
have opened vast opportunities for translation of basic science
observations to the bedside through clinical research. As an
introductory reference it gives clinical investigators in all
fields an awareness of the tools required to ensure research
protocols are well designed and comply with the rigorous regulatory
requirements necessary to maximize the safety of research subjects.
Complete with sections on the history of clinical research and
ethics, copious figures and charts, and sample documents it serves
as an excellent companion text for any course on clinical research
and as a must-have reference for seasoned researchers.
This book draws a unique perspective on the regulation of access to clinical trial data as a case on research and knowledge externalities. Notwithstanding numerous potential benefits for medical research and public health, many jurisdictions have struggled to ensure access to clinical trial data, even at the level of the trial results. Pro-access policy initiatives have been strongly opposed by research-based drug companies arguing that mandatory data disclosure impedes their innovation incentives. Conventionally, access to test data has been approached from the perspective of transparency and research ethics. The book offers a complementary view and considers access to individual patient-level trial data for exploratory analysis as a matter of research and innovation policy. Such approach appears to be especially relevant in the data-driven economy where digital data constitutes a valuable economic resource. The study seeks to define how the rules of access to clinical trial data should be designed to reconcile the policy objectives of leveraging the research potential of data through secondary analysis, on the one hand, and protecting economic incentives of research-based drug companies, on the other hand. Overall, it is argued that the mainstream innovation-based justification for exclusive control over the outcomes of research and development can hardly rationalise trial sponsors' control over primary data from trials. Instead, access to such data and its robust analysis should be prioritised.
Oligonucleotides represent one of the most significant pharmaceutical breakthroughs in recent years, showing great promise as diagnostic and therapeutic agents for malignant tumors, cardiovascular disease, diabetes, viral infections, and many other degenerative disorders. The Handbook of Analysis of Oligonucleotides and Related Products is an essential reference manual on the practical application of modern and emerging analytical techniques for the analysis of this unique class of compounds. A strong collaboration among thirty leading analytical scientists from around the world, the book provides readers with a comprehensive overview of the most commonly used analytical techniques and their advantages and limitations in assuring the identity, purity, quality, and strength of an oligonucleotide intended for therapeutic use. Topics discussed include: Strategies for enzymatic or chemical degradation of chemically modified oligonucleotides toward mass spectrometric sequencing Purity analysis by chromatographic or electrophoretic methods, including RP-HPLC, AX-HPLC, HILIC, SEC, and CGE Characterization of sequence-related impurities in oligonucleotides by mass spectrometry and chromatography Structure elucidation by spectroscopic methods (IR, NMR, MS) as well as base composition and thermal melt analysis (Tm) Approaches for the accurate determination of molar extinction coefficient of oligonucleotides Accurate determination of assay values Assessment of the overall quality of oligonucleotides, including microbial analysis and determination of residual solvents and heavy metals Strategies for determining the chemical stability of oligonucleotides The use of hybridization techniques for supporting pharmacokinetics and drug metabolism studies in preclinical and clinical development Guidance for the presentation of relevant analytical information towards meeting current regulatory expectations for oligonucleotide therapeutics This resource provides a practical guide for applying state-of-the-art analytical techniques in research, development, and manufacturing settings.
The book Heat Shock Proteins in Cancer Therapeutics provides the most comprehensive review on contemporary knowledge on the role of HSP in various types of cancer therapeutics. Using an integrative approach, the contributors provide a synopsis of the most current updates on the state of HSP in cancer therapeutics. The heat shock response pathway is a highly conserved cellular process. Heat shock factors are a master transcriptional regulator responsible for expression of several important heat shock proteins, which can effectively protect critical client proteins from misfolding and degradation, thus maintaining intracellular integrity under stressed conditions. Recent studies have demonstrated the direct connections between heat shock response players and tumor cell survival, validating heat shock response players as novel molecular targets in anticancer treatment. Although many hurdles in clinical application still need to be effectively addressed, such as undesirable drug toxicity and off target effects; narrow therapeutic window; poor PK/PD profiles, etc. Recent reports on synergistic drug combination, advanced prodrug design, smart nanoparticle packaging, and RNA aptamer selection offer promising solutions to overcome these challenges. Future advancements in this fast-growing area can potentially lead to the next generation of cancer therapeutics. Key basic and clinical research laboratories from major universities, academic medical hospitals, biotechnology and pharmaceutical laboratories around the world have contributed chapters that review present research activity and importantly project the field into the future. The book is a must read for graduate students. medical students, basic science researchers and postdoctoral scholars in the fields of Cancer Biology, Oncology, Translational Medicine, Clinical Research, Biotechnology, Cell & Molecular Medicine, Pharmaceutical Scientists and Researchers involved in Drug Discovery.
This new edition provides an update on the molecular mechanisms that regulate spermatogenesis. In addition to the rodent as a study model, chapters also include research on studies in humans. It includes the latest approaches of studying spermatogenesis, such as the use of bioinformatics, molecular modeling and others which are not commonly found in published materials. It also reviews the latest developments in the field, such as studies on the role of regulatory RNAs on spermatogenesis. Due to the declining fertility rate among men, a brand new chapter highlights the impact of environmental toxicants on spermatogenesis.
This second edition brings together a variety of method used in the field of cardiovascular development research. Chapters guide readers through protocols on lymphatic development, lymphatic staining techniques, lymphatic endothelial, tissue clearing techniques, and muscle cell isolation and culture. 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 Authoritative and practical, Cardiovascular Development: Methods and Protocols, Second Edition seeks to aid scientists in understanding new state-of-the-art techniques in the field of cardiovascular development research.
This book compiles the latest research on the multifarious roles of microbial enzymes, and provides an overview of microbial enzymes and biotechnologies. It discusses the use of microbial enzymes in innovative areas like nanomedicine and synthetic biotechnology, as well as the use of starch digesting enzymes and bioactive proteins as biotherapeutics, all of which have applications in modern drug discovery processes. The book also examines the concept of microbial biotransformation and protein engineering, and covers topics such as the immobilization of therapeutic enzymes, bioengineering of enzymes for bioactive compounds, the production of hydrolytic and oxidative enzymes from plant raw materials, and prebiotics and probiotics. Given its multidisciplinary scope, this book will appeal to researchers and industry experts in the fields of microbiology, biotechnology and molecular medicine.
This book provides an in-depth description and discussion of different multi-modal diagnostic techniques for cancer detection and treatment using exact optical methods, their comparison, and combination. Coverage includes detailed descriptions of modern state of design for novel methods of optical non-invasive cancer diagnostics; multi-modal methods for earlier cancer diagnostic enhancing the probability of effective cancer treatment; modern clinical trials with novel methods of clinical cancer diagnostics; medical and technical aspects of clinical cancer diagnostics, and long-term monitoring. Biomedical engineers, cancer researchers, and scientists will find the book to be an invaluable resource. Introduces optical imaging strategies; Focuses on multimodal optical diagnostics as a fundamental approach; Discusses novel methods of optical non-invasive cancer diagnostics.
This book presents the essentials of behavioral test methodology needed for effective study planning and high quality behavioral data collection on laboratory mice. The broad scope of behavioral testing in relation to the neurosciences is discussed, as are thefine details of varioustest situations. Mistakes made in past research are scrutinized and lessons are drawn about how to avoid them in future work. Diverse factors that can influence the results of behavioral experiments are discussed, ranging from the specific parameters employed in a test to the laboratory environment outside the test situation itself. Throughout the book, emphasis is placed on special issues that arise when testing genetically different mice, including inbred strains and mice with targeted mutations. This knowledge will assist an investigator who lacks formal training in behavioral psychology to build a behavioral testing lab and insure that its output meets current standards of good practice in behavioral neuroscience research. The book will be a convenient manual of procedures for daily use
in studies of mouse behavior. It will be of interest even to
experienced behavioural researchers, but of particular value to
scientists just beginning work with mice, including undergraduate
and graduate students as well as postdoctoral investigators who
want to collect phenotypic data with knockout and other genetically
defined mice. Constructed from materials used in a long running
course on Advanced Animal Behavior at University of North
Carolina-Greensboro, the book is an ideal text for a course on
behavioral testing.
The book describes Dr. Sevelius' long career as medical scientist, pursuing specifically what can be learned from a radiocardiogram (RCG), the recording through the skin of the heart flow, the cardiac output (CO), the most fundamental of all body functions. The RCG has been slow in acceptance in clinical medicine. One worry has been the radiation. The radiation is approximately one-third that of a chest x-ray and should be of minor concern with proper education. Another difficulty is how to interpret the results. Other techniques for CO measurements have had similar problems, not because the techniques were wrong but because the interpretation was based on wrong premises with too wide a standard deviation for proper diagnosis in clinical work.Dr. Sevelius introduces two new assessments: hemodynamic and metabolic. With these interpretations the heart as a pump is first judged according to the size of simultaneously measured blood volume it has to pump and second, separately, as to how large a body the heart has to supply with oxygen. The hemodynamic evaluation of the heart flow is found to be a good predictor to a within six-month pending heart attack. This would make the RCG an exceptionally simple and useful tool for diagnosis in clinical medicine.This book collects Dr. Sevelius' work in digital format to make it easily available. It is Dr. Sevelius' hope that his work will inspire some young scientists to follow up his work because of its wide application in modern medicine.
With the rapid development of biotechnologies, single-cell sequencing has become an important tool for understanding the molecular mechanisms of diseases, defining cellular heterogeneities and characteristics, and identifying intercellular communications and single-cell-based biomarkers. Providing a clear overview of the clinical applications, the book presents state-of-the-art information on immune cell function, cancer progression, infection, and inflammation gained from single-cell DNA or RNA sequencing. Furthermore, it explores the role of target gene methylation in the pathogenesis of diseases, with a focus on respiratory cancer, infection and chronic diseases. As such it is a valuable resource for clinical researchers and physicians, allowing them to refresh their knowledge and improve early diagnosis and therapy for patients.
How should we proceed with advanced research of humanities and social sciences in collaboration? What are the pressing issues of this new trend in a cataclysmic time for civilization? This book, originated with a Japan Society for the Promotion of Science (JSPS) Topic-Setting Program, addresses these challenging questions in four parts for innovating twenty-first-century humanities and social sciences. It broadens the horizon for reviewing multi-disciplinary landscapes of risks and regulation of new technologies by focusing on paradigmatic cases from the fields of life and environment. Here, genome editing for reproductive treatment and renewable energy under the constraint of climate change in Japanese and global contexts are involved. The volume comprises a combination of topics and aspects such as public policy and philosophy of science, medicine and law, climate ethics, and the economics of electricity. This edited collection will thus motivate forward-thinking readers across the diverse spectrum of social sciences and humanities to survey themes of their own interests in multi-disciplinary studies. In so doing, they can explore the evolving frontiers of those disciplines and the depths of individual contributions by experts in philosophy, ethics, law, economics, and science, technology, and society (STS), including bioscience.
Innovation in Clinical Trial Methodologies: Lessons Learned during the Corona Pandemic presents a selection of updated chapters from Re-Engineering Clinical Trials that feature innovative options and methods in clinical trials. The Coronavirus pandemic is an accelerator for digitalization in many industries, including clinical trials. This book considers best practices, alternative study concepts requiring fewer patients, studies with less patient interaction, the design of "virtualized" protocols, and moving from data to decisions. This book will be helpful to pharmacologists, physicians and clinical researchers involved in the process of clinical development and clinical trial design.
This book is the first overview on Deep Learning (DL) for biomedical data analysis. It surveys the most recent techniques and approaches in this field, with both a broad coverage and enough depth to be of practical use to working professionals. This book offers enough fundamental and technical information on these techniques, approaches and the related problems without overcrowding the reader's head. It presents the results of the latest investigations in the field of DL for biomedical data analysis. The techniques and approaches presented in this book deal with the most important and/or the newest topics encountered in this field. They combine fundamental theory of Artificial Intelligence (AI), Machine Learning (ML) and DL with practical applications in Biology and Medicine. Certainly, the list of topics covered in this book is not exhaustive but these topics will shed light on the implications of the presented techniques and approaches on other topics in biomedical data analysis. The book finds a balance between theoretical and practical coverage of a wide range of issues in the field of biomedical data analysis, thanks to DL. The few published books on DL for biomedical data analysis either focus on specific topics or lack technical depth. The chapters presented in this book were selected for quality and relevance. The book also presents experiments that provide qualitative and quantitative overviews in the field of biomedical data analysis. The reader will require some familiarity with AI, ML and DL and will learn about techniques and approaches that deal with the most important and/or the newest topics encountered in the field of DL for biomedical data analysis. He/she will discover both the fundamentals behind DL techniques and approaches, and their applications on biomedical data. This book can also serve as a reference book for graduate courses in Bioinformatics, AI, ML and DL. The book aims not only at professional researchers and practitioners but also graduate students, senior undergraduate students and young researchers. This book will certainly show the way to new techniques and approaches to make new discoveries.
This book comprehensively summarizes the biology, etiology, and pathology of ovarian cancer and explores the role of deep molecular and cellular profiling in the advancement of precision medicine. The initial chapter discusses our current understanding of the origin, development, progression and tumorigenesis of ovarian cancer. In turn, the book highlights the development of resistance, disease occurrence, and poor prognosis that are the hallmarks of ovarian cancer. The book then reviews the role of deep molecular and cellular profiling to overcome challenges that are associated with the treatment of ovarian cancer. It explores the use of genome-wide association analysis to identify genetic variants for the evaluation of ovarian carcinoma risk and prognostic prediction. Lastly, it highlights various diagnostic and prognostic ovarian cancer biomarkers for the development of molecular-targeted therapy.
This open access book focuses on the discrepancies in biobank research regulations that are among the most significant hurdles to effective research collaboration. The General Data Protection Regulation (GDPR) has established stringent requirements for the processing of health and genetic data, while simultaneously allowing considerable multi-level exceptions for the purposes of scientific research. In addition to directly applicable exceptions, the GDPR places the regulatory responsibility for further defining how the Member States strike a balance between the individuals' rights and the public interest in research within their national legal orders. Since Member States' approaches to the trade-off between data subjects' rights on the one hand, and appropriate safeguards on the other, differ according to their ethical and legal traditions, their data protection requirements for research also differ considerably. This study takes a comprehensive approach to determine how the GDPR affects regulatory regimes on the use of personal data in biobanking research, with a particular focus on the balance between individuals' rights, public interest and scientific research. In this regard, it has two main goals: first, to scrutinize the GDPR research regime, its objective and constitutive elements, the impact it has on biobanking, and its role in a changing EU landscape post-Brexit; and second, to examine how various exceptions have been operationalized nationally, and what challenges and opportunities this diversification entails. The book not only captures the complexity GDPR creates for biobanking, but also sheds light on various approaches to tackling the corresponding challenges. It offers the first comprehensive analysis of GDPR for biobanking, and the most up-to-date overview of the national biobank regulatory frameworks in Europe.
The book Heat Shock Proteins in Inflammatory Diseases provides the most comprehensive highlight and insight of the expression, function and therapeutic activity of Heat Shock Proteins in inflammatory diseases including sepsis, psoriasis, neurodegenerative diseases, cancers, viral infection and autoimmune rheumatic diseases. Using an integrative approach, the contributors provide a synopsis of the most current updates on the state of HSP in inflammatory diseases. Key basic and clinical research laboratories from major universities, academic medical hospitals, biotechnology and pharmaceutical laboratories around the world have contributed chapters that review present research activity and importantly project the field into the future. The book is a must read for graduate students. medical students, basic science researchers and postdoctoral scholars in the fields of Cancer Biology, Oncology, Translational Medicine, Clinical Research, Biotechnology, Cell & Molecular Medicine, Pharmaceutical Scientists and Researchers involved in Drug Discovery.
This book introduces a variety of advanced machine learning approaches covering the areas of neural networks, fuzzy logic, and hybrid intelligent systems for the determination and diagnosis of cancer. Moreover, the tactical solutions of machine learning have proved its vast range of significance and, provided novel solutions in the medical field for the diagnosis of disease. This book also explores the distinct deep learning approaches that are capable of yielding more accurate outcomes for the diagnosis of cancer. In addition to providing an overview of the emerging machine and deep learning approaches, it also enlightens an insight on how to evaluate the efficiency and appropriateness of such techniques and analysis of cancer data used in the cancer diagnosis. Therefore, this book focuses on the recent advancements in the machine learning and deep learning approaches used in the diagnosis of different types of cancer along with their research challenges and future directions for the targeted audience including scientists, experts, Ph.D. students, postdocs, and anyone interested in the subjects discussed. |
![]() ![]() You may like...
Understanding GPS - Principles and…
Elliott Kaplan, Christopher Hegarty
Hardcover
R4,513
Discovery Miles 45 130
This Is How It Is - True Stories From…
The Life Righting Collective
Paperback
|