Thousands of methods have been developed in the various biomedical disciplines, and those covered in this book represent the basic, essential and most widely used methods in several different disciplines.

This book advises and supports novice researchers in taking their first steps into the world of scientific research. Through practical tips and tricks presented in a clear, concise and step-wise manner, the book describes the entire research process from idea to publication. It also gives the reader insight into the vast opportunities a research career can provide. The books target demographic is aspiring researchers within the biomedical professions, be it medical students, young doctors, nurses, engineers, physiotherapists etc. The book will help aspirational inexperienced researchers turn their intentions into actions, providing crucial guidance for successful entry into the field of biomedical research.

Basic Science Methods for Clinical Researchers addresses the specific challenges faced by clinicians without a conventional science background. The aim of the book is to introduce the reader to core experimental methods commonly used to answer questions in basic science research and to outline their relative strengths and limitations in generating conclusive data. This book will be a vital companion for clinicians undertaking laboratory-based science. It will support clinicians in the pursuit of their academic interests and in making an original contribution to their chosen field. In doing so, it will facilitate the development of tomorrow's clinician scientists and future leaders in discovery science. - Serves as a helpful guide for clinical researchers who lack a conventional science background - Organized around research themes pertaining to key biological molecules, from genes, to proteins, cells, and model organisms - Features protocols, techniques for troubleshooting common problems, and an explanation of the advantages and limitations of a technique in generating conclusive data - Appendices provide resources for practical research methodology, including legal frameworks for using stem cells and animals in the laboratory, ethical considerations, and good laboratory practice (GLP)

Essential Guide to Reading Biomedical Papers: Recognising and Interpreting Best Practice is an indispensable companion to the biomedical literature. This concise, easy-to-follow text gives an insight into core techniques and practices in biomedical research and how, when and why a technique should be used and presented in the literature. Readers are alerted to common failures and misinterpretations that may evade peer review and are equipped with the judgment necessary to be properly critical of the findings claimed by research articles. This unique book will be an invaluable resource for students, technicians and researchers in all areas of biomedicine. Allows the reader to develop the necessary skills to properly evaluate research articles Coverage of over 30 commonly-used techniques in the biomedical sciences Global approach and application, with contributions from leading experts in diverse fields

This book eases the task of converting research work into a manuscript, and covers the recent developments in publishing that often stump budding researchers. Few researchers in the biomedical sciences are trained in the essential skills of reporting their results, and they seek help in writing a paper that will be acceptable for publication in the ‘right’ journal, and in presenting their results ‘effectively’ at a meeting. As well as covering the basic aspects of preparing manuscripts for publication, the book discusses best practices and issues relating to the publication of biomedical research, including topics such as peer-review, authorship, plagiarism, conflicts of interest, publication misconduct, electronic publishing and open-access journals. With more than two decades of experience in conducting workshops on writing scientific papers, the editors have brought together the expertise of 29 authors from seven countries to produce this one-stop guide to publishing research in biomedical sciences. This book is intended for young researchers who are beginning their careers and wish to hone their skills and understand the rigors of research writing and publishing.

We live in an unprecedented era of flourishing of scientific publishing. However, many professionals in the biomedical sciences find writing articles to be a daunting task. The book is meant to serve as a practical writing guide that covers the writing process from the project's inception until online distribution of the published article.The book covers the framework for constructing a scientific study into a coherent narrative that can later be easily translated into a written manuscript. The content of each article section in accordance with the IMRAD format is covered and many details for the construction of additional submission materials are provided. Characteristics of papers reporting on specific types of research are presented as well as article types other than the general full research article. The book is full of resources for additional reading and learning.There are many writing guides on the market. Most of them are general, cover a wide range of scientific writing, and are mainly aimed at students. This book is best suited for young professionals who are a few years out of school. They no longer enjoy the benefit of close mentoring by a thesis adviser or equivalent, but still lack the experience to lead writing projects on their own. Through her experience of teaching young professionals and editing their work, Dr Diskin has learned their unique set of needs and the book has been written in an attempt to address them. Dr Diskin addresses the reader in the second person, with an ever-supportive tone. Importantly, the practicalities of writing articles in today's interconnected environment are discussed throughout the book. Topics such as coordinating the writing in a multinational team, use of different types of software in the writing process and resources available online to support the writer are addressed in detail.Related Link(s)

Research in the Biomedical Sciences: Transparent and Reproducible documents the widespread concerns related to reproducibility in biomedical research and provides a best practices guide to effective and transparent hypothesis generation, experimental design, reagent standardization (including validation and authentication), statistical analysis, and data reporting. The book addresses issues in the perceived value of the existing peer review process and calls for the need for improved transparency in data reporting. It reflects new guidelines for publication that include manuscript checklists, replication/reproducibility initiatives, and the potential consequences for the biomedical research community and societal health and well-being if training, mentoring, and funding of new generations of researchers and incentives for publications are not improved. This book offers real world examples, insights, and solutions to provide a thought-provoking and timely resource for all those learning about, or engaged in, performing and supervising research across the biomedical sciences. - Provides a "big picture perspective on the scope of reproducibility issues and covers initiatives that have potential as effective solutions - Offers real-world research context for transparent, reproducible experimental design, execution and reporting of biomedical research with the potential to address aspects of the translational gap in drug discovery - Highlights the importance of reproducibility and the necessary changes in biomedical and pharmaceutical research training and incentives to ensure sustainability

All of us in biomedicine understand the urgency of getting experimental results into print as quickly as possible. Yet this critical step in the cascade from research conception to publication receives almost no attention in our formal training. It is as if we have been put to sea without a compass. Our collective failure to achieve widespread literacy in our own language – Biomedical Language – seriously impedes the important process of d- seminating new biomedical knowledge and thereby improving the human condition. It is also a significant personal concern for researchers and clinicians in the highly competitive, publish-or-perish environment of c- temporary academia. Of course, if we are clever or lucky enough to come up with that Nobel Prize-winning discovery, great science will carry the day and we are likely to get published even if our writing is fairly horrid. But most of us who publish are “bread-and-butter” scientists. We compete for space in journals which may only accept 10% or 20% of the submissions that they receive each year. For us, convincing, engaging writing will make the difference between being published or rejected, or at least it will make the difference between being published on ? rst submission or having to go through a number of revisions (or journals). None of this is to propose that good writing can make a silk purse out of a sow’s ear. Scienti? c content is the sine qua non of biomedical writing.

Beginning with a survey of fundamental concepts associated with data integration, knowledge representation, and hypothesis generation from heterogeneous data sets, Methods in Biomedical Informatics provides a practical survey of methodologies used in biological, clinical, and public health contexts. These concepts provide the foundation for more advanced topics like information retrieval, natural language processing, Bayesian modeling, and learning classifier systems. The survey of topics then concludes with an exposition of essential methods associated with engineering, personalized medicine, and linking of genomic and clinical data. Within an overall context of the scientific method, Methods in Biomedical Informatics provides a practical coverage of topics that is specifically designed for: (1) domain experts seeking an understanding of biomedical informatics approaches for addressing specific methodological needs; or (2) biomedical informaticians seeking an approachable overview of methodologies that can be used in scenarios germane to biomedical research. - Contributors represent leading biomedical informatics experts: individuals who have demonstrated effective use of biomedical informatics methodologies in the real-world, high-quality biomedical applications - Material is presented as a balance between foundational coverage of core topics in biomedical informatics with practical "in-the-trenches" scenarios. - Contains appendices that function as primers on: (1) Unix; (2) Ruby; (3) Databases; and (4) Web Services.

As director of a training program in medical informatics, I have found that one of the most frequent inquiries from graduate students is, "Although I am happy with my research focus and the work I have done, how can I design and carry out a practical evaluation that proves the value of my contribution?" Informatics is a multifaceted, interdisciplinary field with research that ranges from theoretical developments to projects that are highly applied and intended for near-term use in clinical settings. The implications of "proving" a research claim accordingly vary greatly depending on the details of an individual student's goals and thesis state ment. Furthermore, the dissertation work leading up to an evaluation plan is often so time-consuming and arduous that attempting the "perfect" evaluation is fre quently seen as impractical or as diverting students from central programming or implementation issues that are their primary areas of interest. They often ask what compromises are possible so they can provide persuasive data in support of their claims without adding another two to three years to their graduate student life. Our students clearly needed help in dealing more effectively with such dilem mas, and it was therefore fortuitous when, in the autumn of 1991, we welcomed two superb visiting professors to our laboratories.