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• 1. Health Statistics: Why Are They Important?
• 2. Mathematics: Reviewing the Basics.
• 3. Health Data Across the Continuum.
• 4. Hospital Census.
• 5. Hospital Occupancy.
• 6. Hospital Length of Stay.
• 7. Hospital, Obstetric, and Neonatal Statistics.
• 8. Miscellaneous Clinical and Non-Clinical Statistics.
• 9. End-of-Life Statistics: Mortality and Autopsy Rates.
• 10. Community Health Statistics.
• 11. Statistics: Learning the Basics.
• 12. Organizing Data for Analysis.
• 13. Displaying Data for Analysis.
• 14. Fundamentals of Research.
• Appendix I: Glossary.
• Appendix II: Formulas.
• Appendix III: Abbreviations.
• Appendix IV: Answers to the Self-Tests and Chapter Tests.
• Appendix V: Quick-Reference. Index.
• (source: Nielsen Book Data)

Think statistics is just for statisticians? Think again! BASIC ALLIED HEALTH STATISTICS AND ANALYSIS, 5th Edition shows how Health Information Management (HIM) professionals wield the power of data to improve patient care delivery every day. To build a foundation for your success, this practical work-text demystifies stats by first demonstrating how to use calculations and then by offering practice in clinical case studies and practice problems. You'll think through the big issues in health care today, consider available data, choose the best statistical analysis, and then make recommendations--just like the pros. And once you have the basic math and stats down, nothing will hold you back! You can master applications such as vital statistics and mortality rates, census and occupancy rates, and more, all while meeting CAHIIM curriculum and competency standards.
(source: Nielsen Book Data)

• Introduction: My brain in a dish
• Chapter 1. Pieces of life : Cells past and present
• Chapter 2. What love has to do with it : Growing humans the old-fashioned way
• First Interlude. The human superorganism : How cells became communities
• Chapter 3. Immortal flesh : How tissues were grown outside the body
• Second Interlude. Heroes and villains : The microbiome, immunity and cancer
• Chapter 4. Twisting fate : How to reprogramme a cell
• Chapter 5. The spare parts factory : Making tissues and organs from reprogrammed cells
• Chapter 6. Flesh of my flesh : Questioning the future of sex and reproduction
• Chapter 7. Hideous progeny? The futures of growing humans
• Third Interlude. Philosophy of the lonely mind : Can a brain exist in a dish?
• Chapter 8. Return of the meatware : Coming to terms with our fleshy selves

Two summers ago, scientists removed a tiny piece of flesh from Philip Ball's arm and turned it into a rudimentary "mini-brain." The skin cells, removed from his body, did not die but were instead transformed into nerve cells that independently arranged themselves into a dense network and communicated with each other, exchanging the raw signals of thought. This was life--but whose? In his most mind-bending book yet, Ball makes that disconcerting question the focus of a tour through what scientists can now do in cell biology and tissue culture. He shows how these technologies could lead to tailor-made replacement organs for when ours fail, to new medical advances for repairing damage and assisting conception, and to new ways of "growing a human." For example, it might prove possible to turn skin cells not into neurons but into eggs and sperm, or even to turn oneself into the constituent cells of embryos. Such methods would also create new options for gene editing, with all the attendant moral dilemmas. Ball argues that such advances can therefore never be about "just the science, " because they come already surrounded by a host of social narratives, preconceptions, and prejudices. But beyond even that, these developments raise questions about identity and self, birth and death, and force us to ask how mutable the human body really is--and what forms it might take in years to come.
(source: Nielsen Book Data)

• Introduction to biological rate processes
• Noncovalent binding interactions
• Binding equilibria and kinetics
• Enzyme kinetics
• Gene expression and protein trafficking
• Network dynamics
• Population growth and death models
• Coupled transport and reaction
• Discrete stochastic processes

A comprehensive presentation of essential topics for biological engineers, focusing on the development and application of dynamic models of biomolecular and cellular phenomena. This book describes the fundamental molecular and cellular events responsible for biological function, develops models to study biomolecular and cellular phenomena, and shows, with examples, how models are applied in the design and interpretation of experiments on biological systems. Integrating molecular cell biology with quantitative engineering analysis and design, it is the first textbook to offer a comprehensive presentation of these essential topics for chemical and biological engineering. The book systematically develops the concepts necessary to understand and study complex biological phenomena, moving from the simplest elements at the smallest scale and progressively adding complexity at the cellular organizational level, focusing on experimental testing of mechanistic hypotheses. After introducing the motivations for formulation of mathematical rate process models in biology, the text goes on to cover such topics as noncovalent binding interactions; quantitative descriptions of the transient, steady state, and equilibrium interactions of proteins and their ligands; enzyme kinetics; gene expression and protein trafficking; network dynamics; quantitative descriptions of growth dynamics; coupled transport and reaction; and discrete stochastic processes. The textbook is intended for advanced undergraduate and graduate courses in chemical engineering and bioengineering, and has been developed by the authors for classes they teach at MIT and the University of Minnesota.
(source: Nielsen Book Data)

• Introduction: Biotechnology-An Ever Expanding Toolbox for Medicine-- Biopharmaceutical Proteins: The Manufacturing Challenge-- Vaccines: The Recombinant Revolution-- Monoclonal Antibodies: A Revolution in the Transformation of Healthcare-- The Changing Fortune of Cancer Immunotherapy-- Gene Therapy: An Evolving Story-- Stem Cells: An Emerging Field for Medicine-- Protein Therapeutics and Blinding Diseases-- Synthetic Biology: A Game Changer?-- Synthetic Biology-Engineering Tomorrow's Medicines.
• (source: Nielsen Book Data)

Biotechnology harnesses cellular and biochemical systems to advance knowledge of the molecular cause of disease and to provide new diagnostic tools and more precisely targeted drugs. Within a decade, global investment in medical biotechnology has increased more than ten-fold, resulting in therapies for previously untreatable conditions. But what exactly is biotechnology and what are its origins? What further benefits to human health could it offer in the future? Written in an accessible style, contributors to this book explore the history behind different biotechnology tools, how they are used, and how they are reshaping the future of diagnostics, therapeutics and vaccines. Among the technologies examined are genetic engineering, DNA sequencing, monoclonal antibodies, stem cells, gene therapy, cancer immunotherapy and the most recent newcomer - synthetic biology. Applying new biotechnologies in medicine is not without great challenges. As medicines shift from small organic molecules to large, complex structures, such as therapeutic proteins, drugs become difficult to make, administer and regulate. This book will intrigue anyone interested in medicine and how we have been, and may continue to, engineer better health for ourselves. Such changes have major implications for how and where drugs are manufactured, the cost of medicine and the ethics of how far society is prepared to go to combat disease.
(source: Nielsen Book Data)

" Intuitive Biostatistics takes a non-technical, non-quantitative approach to statistics and emphasizes interpretation of statistical results rather than the computational strategies for generating statistical data. This makes the text especially useful for those in health-science fields who have not taken a biostatistics course before. The text is also an excellent resource for professionals in labs, acting as a conceptually oriented and accessible biostatistics guide. With an engaging and conversational tone, Intuitive Biostatistics provides a clear introduction to statistics for undergraduate and graduate students and also serves as a statistics refresher for working scientists. "-- Provided by publisher.

• Introduction / Roderick Adrian Slavcev
• Non-viral Gene delivery / Chi Hong Sum, Samantha Marisha Shortall, Shirley Wong, and Shawn David Wettig
• Specific systems for imaging / Chi Hong Sum, Samantha Marisha Shortall, Jessica Antoinetta Nicastro, and Roderick Slavcev
• Specific systems for evaluation / Roderick Adrian Slavcev, Chi Hong Sum, Jesse St. Jean, Haein Huh, and Nafiseh Nafissi
• Conclusions and perspectives / Roderick Adrian Slavcev.

This work was compiled to serve as a convenient source that covers a number of techniques (and details of their use) in the rather large field of nanomedicine, with special attention paid to gene delivery. As principal investigators working in the field of nanomedicine, we sought to put together the most current and relevant topics in gene delivery, imaging and evaluation systems. We expect the work to serve very well for scientists and graduate students in the nanomedicine field.
(source: Nielsen Book Data)

• Preface.- â Introduction to Networks and Diseases.- Exact Propagation Models: Top Down.- Exact Propagation Models: Bottom-Up.- Mean-Field Approximations for Heterogeneous Networks.- Percolation-Based Approaches for Disease Modelling.- Hierarchies of SIR Models.- Dynamic and Adaptive Networks.- Non-Markovian Epidemics.- PDE Limits for Large Networks.- Disease Spread in Networks with Large-scale structure.- Appendix: Stochastic Simulation.- Index.
• (source: Nielsen Book Data)

This textbook provides an exciting new addition to the area of network science featuring a stronger and more methodical link of models to their mathematical origin and explains how these relate to each other with special focus on epidemic spread on networks. The content of the book is at the interface of graph theory, stochastic processes and dynamical systems. The authors set out to make a significant contribution to closing the gap between model development and the supporting mathematics. This is done by:Summarising and presenting the state-of-the-art in modeling epidemics on networks with results and readily usable models signposted throughout the book; Presenting different mathematical approaches to formulate exact and solvable models; Identifying the concrete links between approximate models and their rigorous mathematical representation; Presenting a model hierarchy and clearly highlighting the links between model assumptions and model complexity; Providing a reference source for advanced undergraduate students, as well as doctoral students, postdoctoral researchers and academic experts who are engaged in modeling stochastic processes on networks; Providing software that can solve differential equation models or directly simulate epidemics on networks.Replete with numerous diagrams, examples, instructive exercises, and online access to simulation algorithms and readily usable code, this book will appeal to a wide spectrum of readers from different backgrounds and academic levels. Appropriate for students with or without a strong background in mathematics, this textbook can form the basis of an advanced undergraduate or graduate course in both mathematics and other departments alike.
(source: Nielsen Book Data)

• Preface
• Chapter 1.
• Meta-Analysis in a Nutshell
• Chapter 2.
• Mathematical Framework
• Chapter 3.
• Meta-Analysis and the Scientific Method
• Chapter 4.
• Meta-Analysis and Random Effects Analysis
• Chapter 5.
• Meta-Analysis Software Programs
• Chapter 6.
• Meta-Analysis of Randomized Controlled Trials
• Chapter 7.
• Meta-Analysis of Observational plus Randomized Studies
• Chapter 8.
• Meta-Analysis of Observational Studies
• Chapter 9.
• Meta-Regression
• Chapter 10.
• Meta-Analysis of Diagnostic Studies
• Chapter 11.
• Meta-Meta-Analyses
• Chapter 12.
• Network Meta-Analysis
• Chapter 13.
• Random Intercepts Meta-Analysis
• Chapter 14.
• Probit Regression
• Chapter 15.
• Meta-Analysis with General Loglinear Models
• Chapter 16.
• Meta-Analysis with Variance Components
• Chapter 17.
• Ensembled Correlation Coefficients
• Chapter 18.
• Ensembled Accuracies
• Chapter 19.
• Meta-Analyses with Multivariate Assessments
• Chapter 20.
• <Transforming Odds Ratios into Correlation Coefficients
• Chapter 21.
• Meta-Analyses with Direct and Indirect Comparisons
• Chapter 22.
• Contrast Coefficients Meta-Analysis
• Chapter 23.
• Meta-Analysis with Evolutionary Operations
• Chapter 24.
• Meta-Analysis with Heterogeneity Rather than Homogeneity of Studies as Null-Hypothesis
• Chapter 25.
• Meta-Analytic Thinking and Other Spin-Offs of Meta-Analysis
• Chapter 26.
• <Novel Developments<Index <.
• (source: Nielsen Book Data)

Modern meta-analyses do more than combine the effect sizes of a series of similar studies. Meta-analyses are currently increasingly applied for any analysis beyond the primary analysis of studies, and for the analysis of big data. This 26-chapter book was written for nonmathematical professionals of medical and health care, in the first place, but, in addition, for anyone involved in any field involving scientific research. The authors have published over twenty innovative meta-analyses from the turn of the century till now. This edition will review the current state of the art, and will use for that purpose the methodological aspects of the authors' own publications, in addition to other relevant methodological issues from the literature.Are there alternative works in the field? Yes, there are, particularly in the field of psychology. Psychologists have invented meta-analyses in 1970, and have continuously updated methodologies. Although very interesting, their work, just like the whole discipline of psychology, is rather explorative in nature, and so is their focus to meta-analysis. Then, there is the field of epidemiologists. Many of them are from the school of angry young men, who publish shocking news all the time, and JAMA and other publishers are happy to publish it. The reality is, of course, that things are usually not as bad as they seem. Finally, some textbooks, written by professional statisticians, tend to use software programs with miserable menu programs and requiring lots of syntax to be learnt. This is prohibitive to clinical and other health professionals. The current edition is the first textbook in the field of meta-analysis entirely written by two clinical scientists, and it consists of many data examples and step by step analyses, mostly from the authors' own clinical research.
(source: Nielsen Book Data)

• Introduction to bio-imaging Image acquisition and processing Classification: Statistical and neural network Imaging in the visible spectrum Hyperspectral imaging Thermal imaging X-ray imaging X-ray computed tomography imaging Magnetic resonance imaging Optical coherence tomography imaging Imaging-based automation in the food and agriculture industry References.
• (source: Nielsen Book Data)

Highlights the Emergence of Image Processing in Food and Agriculture In addition to uses specifically related to health and other industries, biological imaging is now being used for a variety of applications in food and agriculture. Bio-Imaging: Principles, Techniques, and Applications fully details and outlines the processes of bio-imaging applicable to food and agriculture, and connects other bio-industries, as well as relevant topics. Due to the noncontact and nondestructive nature of the technology, biological imaging uses unaltered samples, and allows for internal quality evaluation and the detection of defects. Compared to conventional methods, biological imaging produces results that are more consistent and reliable, and can ensure quality monitoring for a variety of practices used in food and agriculture industries as well as many other biological industries. The book highlights every imaging technique available along with their components, image acquisition procedures, advantages, and comparisons to other approaches. * Describes essential components of imaging technique in great detail * Incorporates case studies in appropriate chapters * Contains a wide range of applications from a number of biological fields Bio-Imaging: Principles, Techniques, and Applications focuses on the imaging techniques for biological materials and the application of biological imaging. This technology, which is quickly becoming a standard practice in agriculture and food-related industries, can aid in enhanced process efficiency, quality assurance, and food safety management overall.
(source: Nielsen Book Data)

• Contributors vii Preface xi
• 1 Carbohydrate ]Presenting Self ]Assembled Monolayers: Preparation, Analysis, and Applications in Microbiology 1 Aline Debrassi, Willem M. de Vos, Han Zuilhof, and Tom Wennekes
• 2 Plasmonic Methods for the Study of Carbohydrate Interactions 53 Sabine Szunerits and Rabah Boukherroub
• 3 Carbohydrate ]Modified Gold Nanoparticles 79 Mikkel B. Thygesen and Knud J. Jensen
• 4 Quantum Dot Glycoconjugates 99 Nan Li and Kagan Kerman
• 5 Conjugation of Glycans with Carbon Nanostructures 123 Zachary P. Michael, Alexander Star, and Sebastien Vidal
• 6 Synthesis of Glycopolymers and Recent Developments 137 Gokhan Yilmaz and C. Remzi Becer
• 7 Glycoclusters and their Applications as Anti ]Infective Agents, Vaccines, and Targeted Drug Delivery Systems 175 Juan Manuel Casas ]Solvas and Antonio Vargas ]Berenguel
• 8 Glyco ]Functionalized Liposomes 211 Jacob J. Weingart, Pratima Vabbilisetty, and Xue ]Long Sun
• 9 Glycans in Mesoporous and Nanoporous Materials 233 Keith J. Stine
• 10 Applications of Nanotechnology in Array ]Based Carbohydrate Analysis and Profiling 267 Jared Q. Gerlach, Michelle Kilcoyne, and Lokesh Joshi
• 11 Scanning Probe Microscopy for the Study of Interactions Involving Glycoproteins and Carbohydrates 285 Yih Horng Tan
• 12 Sialic Acid ]Modified Nanoparticles for ]Amyloid Studies 309 Hovig Kouyoumdjian and Xuefei Huang
• 13 Carbohydrate Nanotechnology and its Applications for the Treatment of Cancer 335 Shailesh G. Ambre and Joseph J. Barchi, Jr.
• 14 Carbohydrate Nanotechnology Applied to Vaccine Development 369 Rajesh Sunasee and Ravin Narain
• 15 Carbohydrate Nanotechnology and its Application to Biosensor Development 387 Andras Hushegyi, Ludmila Klukova, Tomas Bertok, and Jan Tkac
• 16 Nanotoxicology Aspects of Carbohydrate Nanostructures 423 Yinfa Ma and Qingbo Yang Index 453.
• (source: Nielsen Book Data)

Introducing the emerging field carbohydrate nanostructures, this book will be a unique resource for interested researchers to learn a range of methods of applying the field to their own work. Greater access, as well as greater collaboration, to this new interdisciplinary field is intended for both synthetic carbohydrate chemists and researchers in nanoscience related fields. It covers: * the main types of nanostructures presently under investigation for modification by carbohydrates, including nanoparticles, nanorods, magnetic particles, dendrimers, nanoporous, and surface confined structures * overview and introduction to the field of carbohydrate nanotechnology, and especially its applications to its biological systems * Provides a unique resource for researchers to learn about the techniques used to characterize the physical and biological properties of carbohydrate-modified nanostructures.
(source: Nielsen Book Data)

With its engaging and conversational tone, Essential Biostatistics: A Nonmathematical Approach provides a clear introduction to statistics for students in a wide range of fields, and a concise statistics refresher for scientists and professionals who need to interpret statistical results. It explains the ideas behind statistics in nonmathematical terms, offers perspectives on how to interpret published statistical results, and points out common conceptual traps to avoid. It can be used as a stand-alone text or as a supplement to a traditional statistics textbook.
(source: Nielsen Book Data)

• PUBLICATION STRATEGY - AN OVERVIEW Step-by-Step Guide to Publication Strategy Developing a Publication Plan for a Multicentre Study How Long Will it Take? Working with a Medical Writer Dr. Seymour and the Disappearing Paper: A Cautionary Tale A TO Z OF PUBLICATION STRATEGY A Abstracts Acceptance rates Acceptance times Access to data Accountability of authors Acknowledgements Advertising departments Affiliations American Medical Writers Association (AMWA) Anonymous reviewers Appeals Approval Article formats Article processing charge (APC) Artwork Authors' affiliations Authorship B Back-up plan Beall's list Bias Bibliographic software 'Big Five' BioMed Central Blinded (masked) review Blogs Board of Editors in the Life Sciences (BELS) Books Brief By-line (or masthead) C Certified Medical Publication Professional (CMPP) Checklists ClinicalTrials.gov Cloned journals Co-authors Collaborators Committee on Publication Ethics (COPE) Competing interest Conditional acceptance Conflict of interest / competing interest Congress / conference choice Consolidated Health Economic Evaluation Reporting Standards (CHEERS) CONSORT CONSORT for Abstracts Contact details Contracts Contributorship (vs. authorship) COPE Copy editing Copyright Corporate integrity agreement (CIA) Corrections (errata) Corresponding author Council of Science Editors (CSE) Cover letter / covering letter Creative Commons (CC) licences CrossCheck CrossMark D Data access Data analysis plan Data dredging Data ownership DataVision Deadlines Decision times DeepDyve Diamond Open Access Directory of Open Access Journals (DOAJ) DOI (Digital Object Identifier) system Duplicate publication E Economic (health outcomes) evaluations Editorial board Editorials Editors Electronic publishing Electronic review Electronic submission ELPS Embargoes Encore abstracts Enhanced publications Envision e- Prints epub EQUATOR Network Errata European Association of Science Editors (EASE) European Clinical Trials Database (EudraCT) European Federation of Pharmaceutical Industry Associations (EFPIA) European Medical Writers Association (EMWA) Expectations Expedited review External review F F1000Research Fast-track publication FDAAA Fees Figure legends Figures First author Footnotes Formatting requirements Freebies / 'throwaways' G Galley proofs Gap analysis Ghost authors Ghost writers Gift authorship Gold Open Access Good Publication Practice (GPP, GPP2 and GPP3) Graphs Green Open Access Group authorship Guarantor Guest authors / gift authorship H Hanging Committee Hijacked journals Hot topics House style Hybrid journals I Image manipulation Impact factors IMRAD structure Indexing Informal review Ingelfinger rule In-house review Initials In press Institutional repositories Instructions to authors (contributors) Internal review International Clinical Trials Registry Platform (ICTRP) International Committee of Medical Journal Editors (ICMJE) International Society for Medical Publication Professionals (ISMPP) Investigators' agreements ISRCTN (International Standard Randomised Controlled Trial Number) J Journal cascades and consortia Journal choice Journalists JULIET K Key message(s) Key people / players Key words L Last author Late breaker abstracts Lead time Legends Letters to the editor M Masked review Meat extenders Media relations Medical writers Medline Meeting choice Meetings (of the writing group) Mega-journal MeSH headings Metrics N Names Negative studies Nitpickers Number of authors Number of publications O Offprints Ombudsman / ombudsperson Open Access journals Open Access Scholarly Publishers Association (OASPA) OpenDOAR (the Directory of Open Access Repositories) Open peer review Oral presentations ORCID (Open Researcher and Contributor ID) Order of authors Organisations Outlines Overlapping publications Ownership of data P Page budget Page charges PeerJ Peers Permissions Personal communications Personal websites Pharmaceutical Research and Manufacturers of America (PhRMA) Physician Payments Sunshine Act Pico / PICO Placeholder abstracts Plagiarism Planning Platinum Open Access Pooled data PLOS Poster presentations Post-publication comments Post-publication peer review Predatory journals Predatory publishers Preprints Press conferences Press releases Pre- submission enquiries Primary publication Prior publication PRISMA Promoting your work Proofs (page proofs) Protocol review Publication agreements Publication bias Publication Plan Publication policy Publication steering committee Publication strategy Public Library of Science (PLOS) PubMed PubMed Central PubStrat Q Queries Queues R Readership Redundant publication References Reformatting Rejection Reporting guidelines Reprints Retractions Reviewer choice Reviewers' comments Review process Role of sponsor RoMEO Running title S Salami science / slicing Secondary publications Second target journal Selective publication Self- archiving SHERPA/FACT SHERPA/JULIET SHERPA/RoMEO Short reports Short title Slides Social media Sponsor, role of Strategy STROBE Style Sub-editing Submission fees Submission letter Subscription journals Sunshine Act Supplementary material Supplements T Tables Target audience Target journal Technical editing Text recycling The Publication Plan 'Throwaways' Timing Title Title page Translations Trial identifier Trial registration U Editors (ICMJE) Unpublished data (references to) V Vancouver Group Verbal branding Veto Vicious reviewers W Waivers WAME Web publication / institutional websites Withdrawal World Association of Medical Editors (WAME) World Medical Association (WMA) Writing Writing group X Xenophobia (geographical bias) Y Young reviewers Z Zealots and assassins
• Appendix 1 Further reading
• Appendix 2 Organisations
• Appendix 3 Guidelines
• Appendix 4 Principles of good publication practice for company sponsored medical research (from GPP3).
• (source: Nielsen Book Data)

The third edition of this popular and highly-regarded guide uncovers the ethics, conventions and often unwritten rules of publishing in peer-reviewed journals and at conferences. It provides clear direction on how to choose the right journal, avoid publication delays, resolve authorship disputes and many other problems associated with being published that pose challenges to new and experienced researchers alike. The A to Z format is highly accessible to readers with different backgrounds and varying levels of publication experience, including students and healthcare professionals, medical researchers and individuals working in drug companies and communications agencies. It will be particularly valuable to anyone involved in planning publications.
(source: Nielsen Book Data)

• Contributing Authors-- Introduction: Intersection Between and Opportunities for Microtechnologies and Nanotechnologies in Biomedical Applications (Chenjie Xu, Juliana M Chan and Paul S Weiss)-- Magnetic Nanoparticles for Drug Delivery (Malathi Mathiyazhakan and Chenjie Xu)-- Lanthanide-Doped Upconverting Nanoparticles for Biological Applications (Yuanwei Zhang and Gang Han)-- Chemical Tools for Elucidation of Epigenetic Mechanisms (Masafumi Minoshima and Kazuya Kikuchi)-- Combinatorial Cationic Lipid Library Synthesis for Drug Delivery (Sarah Altinoglu and Qiaobing Xu)-- Hydrogels for Drug Delivery (Yuyan Weng, Yue Lu and Zhen Gu)-- Dendritic Nanocarrier Platforms for Gene and Drug Delivery Applications (Hong Y Cho, Jason Bugno and Seungpyo Hong)-- Biodegradable Polymeric Nanoparticles for Gene Delivery (Jayoung Kim, Kristen L Kozielski, David R Wilson and Jordan J Green)-- Cell Ghosts: Cellular Membranes for Drug Delivery (Beth Schoen and Marcelle Machluf)-- Nanoparticles for Improved Tropical Drug Delivery for Skin Diseases (Razina Z Seeni, Sangeetha Krishnamurthy, Chen Xie and Juliana M Chan)--.
• (source: Nielsen Book Data)

Perspectives in Micro- and Nanotechnology for Biomedical Applications is an exciting new book that takes readers inside the fast-paced world of biomedical sciences fueled by advancements in nanotechnology, polymer chemistry and pharmacology. Guided by biotech researchers Chenjie Xu and Juliana Chan, an international ensemble of leading experts in the field cover topics ranging from classical chemical tools to nanoparticles as imaging probes and drug carriers, and combinatorial screens for new lipids and polymers. At the microscale it discusses advancements in hydrogels and platform technologies such as cell ghosts.This book provides a broad perspective into the basic principles and applications of today's most promising micro- and nanotechnologies, and is an up-to-date reference book for researchers. It is also suitable for undergraduate and graduate students, patent lawyers and investors who are interested in the latest innovations taking place in the biomedical sciences, many of which may dramatically improve the lives of millions of people.
(source: Nielsen Book Data)

• 1. Nomenclature--
• 2. Overview of tissue optical properties--
• 3. Introduction to biomedical statistics for diagnostic applications--
• 4. General concepts of tissue spectroscopy and instrumentation--
• 5. Autofluorescence spectroscopy and reporter fluorescence--
• 6. Raman and infrared spectroscopy of vibrational modes--
• 7. Elastic and quasi-elastic scattering from cells and small structures--
• 8. Diffuse reflectance spectroscopy at small source-detector separations--
• 9. Transport theory and the diffusion equation--
• 10. Continuous-wave methods for tissue spectroscopy--
• 11. Time-domain methods for tissue spectroscopy in the diffusion regime--
• 12. Frequency-domain methods for tissue spectroscopy in the diffusion regime--
• 13. Instrumentation and experimental methods for diffuse tissue spectroscopy--
• 14. Diffuse optical imaging and tomography--
• 15. In vivo applications of diffuse optical spectroscopy and imaging--
• 16. Combining light and ultrasound: acousto-optics and opto-acoustics--
• 17. Modern optical microscopy for biomedical applications--
• 18. Optical coherence tomography--
• 19. Optical tweezers and laser-tissue interactions.
• (source: Nielsen Book Data)

This is the textbook and reference resource that instructors, students, and researchers in biomedical optics have been waiting for. Comprehensive and up to date, it covers a broad range of areas in biomedical optics, from light interactions at the single-photon and single-biomolecule levels, to the diffusion regime of light propagation in tissue. Subjects covered include spectroscopic techniques (fluorescence, Raman, infrared, near-infrared, and elastic scattering), imaging techniques (diffuse optical tomography, photoacoustic imaging, several forms of modern microscopy, and optical coherence tomography), and laser-tissue interactions, including optical tweezers. Topics are developed from the fundamental principles of physical science, with intuitive explanations, while rigorous mathematical formalisms of theoretical treatments are also provided. For each technique, descriptions of relevant instrumentation and examples of biomedical applications are outlined, and each chapter benefits from references and suggested resources for further reading, and exercise problems with answers to selected problems.
(source: Nielsen Book Data)

• Why do we need to evaluate errors?
• Probability distributions
• Measurement errors
• Statistical estimators
• Confidence intervals
• Error bars
• Propagation of errors
• Errors in simple linear regression
• Worked example.

• Designing biomarker studies
• Elementary statistical methods for analyzing biomarker data
• Frequently encountered challenges in analyzing biomarker data and how to deal with them
• Validation of biomarkers.

• 1. Introduction / Richard Sever and Kaaren Janssen
• 2. A career at a small liberal arts college / Jennifer Punt
• 3. Core facility management / Claire M. Brown
• 4. Academic administration / Lydia Villa-Komaroff
• 5. Careers in science and grant administration: view from the National Institutes of Health / Marion Zatz and Sherry Dupere
• 6. At the crossroads of science and society: careers in science policy / Amy P. Patterson, Mary E. Groesch, Allan C. Shipp, and Christopher J. Viggiani
• 7. Working for a scientific society / Martin Frank
• 8. Leaving the bench and finding your foundation / John E. Spiro
• 9. Patent law: at the cutting edge of science, but not at the bench / Salim Mamajiwalla
• 1-. Biotech start-ups and entrepreneurships / Susan Froshauer
• 11. A career for life scientists in management consulting / Rodney W. Zemmel
• 12. Medical communications: the "write" career path for you? / Yfke Hager
• 13. Science journalism and writing / Helen Pearson
• 14. Career in science publishing / John R.

• @text:Focusing on new 3-D in vitro methods, this book brings together examples of leading-edge work being conducted internationally for improving in vitro cell culture methods. It highlights the use of systems for enabling cell culture under laminar flow and the use of 3-D scaffolds for providing cells with a structure which replicates the function of the extracellular matrix and encouraging interactions more akin to an in vivo environment. Chapters cover state-of-the-art protocols for bioreactor systems, in vitro toxicity methods, non-invasive imaging, 3-D cell cultures, stem cell usage, and the integration and use of novel scaffolds.
• (source: Nielsen Book Data)

Growing cells in 2D under static conditions has long been the gold standard of cell culture, despite this method not being representative of the complex in vivo environment. The use of animal models also has clear ethical and scientific limitations, and increasingly the 3Rs (replacement, refinement, reduction) in relation to animal models are being integrated into the modern-day scientific practice. Focusing on new 3D in vitro methods now available to researchers, this book brings together examples of leading-edge work being conducted internationally for improving in vitro cell culture methods, in particular the use of systems for enabling cell culture under laminar flow and the use of 3D scaffolds for providing cells with a structure which replicates the function of the extracellular matrix and encouraging interactions more akin to an in vivo environment.
(source: Nielsen Book Data)

• Research risk and regulationist stereotypes
• Cost is no object
• Arbitrary and capricious decisions
• The misshapen ideology of the IRB system
• The rule of law
• Censorship in a system of free expression.

An argument that the system of boards that license human-subject research is so fundamentally misconceived that it inevitably does more harm than good. Medical and social progress depend on research with human subjects. When that research is done in institutions getting federal money, it is regulated (often minutely) by federally required and supervised bureaucracies called "institutional review boards" (IRBs). Do-can-these IRBs do more harm than good? In The Censor's Hand, Schneider addresses this crucial but long-unasked question. Schneider answers the question by consulting a critical but ignored experience-the law's learning about regulation-and by amassing empirical evidence that is scattered around many literatures. He concludes that IRBs were fundamentally misconceived. Their usefulness to human subjects is doubtful, but they clearly delay, distort, and deter research that can save people's lives, soothe their suffering, and enhance their welfare. IRBs demonstrably make decisions poorly. They cannot be expected to make decisions well, for they lack the expertise, ethical principles, legal rules, effective procedures, and accountability essential to good regulation. And IRBs are censors in the place censorship is most damaging-universities. In sum, Schneider argues that IRBs are bad regulation that inescapably do more harm than good. They were an irreparable mistake that should be abandoned so that research can be conducted properly and regulated sensibly.
(source: Nielsen Book Data)

• Emerging Issues in Clinical Trial Design and Analysis Emerging Challenges of Clinical Trial Methodologies in Regulatory Applications H.M. James Hung and Sue-Jane Wang Review of RandomizationMethods in Clinical Trials Vance W. Berger and William C. Grant First Dose Ranging Clinical Trial Design: More Doses? Or a Wider Range? Guojun Yuan and Naitee Ting Thorough QT/QTc Clinical Trials Yi Tsong Controversial (Unresolved) Issues in Noninferiority Trials Brian L. Wiens
• Adaptive Clinical Trials Adaptive Designs in Drug Development Sue-Jane Wang and H.M. James Hung Optimizing Group-Sequential Designs with Focus on Adaptability: Implications of Nonproportional Hazards in Clinical Trials Edward Lakatos Group Sequential Design in R Keaven M. Anderson
• Clinical Trials in Oncology Issues in the Design and Analysis of Oncology Clinical Trials Stephanie Green Competing Risks and Their Applications in Cancer Clinical Trials Chen Hu, James J. Dignam, and Ding-Geng (Din) Chen Dose Finding with Escalation with Overdose Control in Cancer Clinical Trials Andre Rogatko and Mourad Tighiouart Interval-Censored Time-to-Event Data and Their Applications in Clinical Trials Ling Ma, Yanqin Feng, Ding-Geng (Din) Chen, and Jianguo Sun
• Multiple Comparisons in Clinical Trials Introduction to Multiple Test Problems, with Applications to Adaptive Designs Jeff Maca, Frank Bretz, and Willi Maurer Graphical Approaches to Multiple Testing Frank Bretz, Willi Maurer, and Jeff Maca Pairwise Comparisons with Binary Responses: Multiplicity-Adjusted P-Values and Simultaneous Confidence Intervals Bernhard Klingenberg and Faraz Rahman Comparative Study of FiveWeighted Parametric Multiple Testing Methods for Correlated Multiple Endpoints in Clinical Trials Changchun Xie, Xuewen Lu, and Ding-Geng (Din) Chen
• Clinical Trials in the Genomic Era Statistical Analysis of Biomarkers from Omics Technologies Herbert Pang and Hongyu Zhao Understanding Therapeutic Pathways via Biomarkers and Other Uses of Biomarkers in Clinical Studies Michael D. Hale and Scott D. Patterson Statistical Evaluation of Surrogate Endpoints in Clinical Studies Geert Molenberghs, Ariel Alonso Abad, Wim Van der Elst, Tomasz Burzykowski, and Marc Buyse
• Index.
• (source: Nielsen Book Data)

Since 1945, "The Annual Deming Conference on Applied Statistics" has been an important event in the statistics profession. In Clinical Trial Biostatistics and Biopharmaceutical Applications, prominent speakers from past Deming conferences present novel biostatistical methodologies in clinical trials as well as up-to-date biostatistical applications from the pharmaceutical industry. Divided into five sections, the book begins with emerging issues in clinical trial design and analysis, including the roles of modeling and simulation, the pros and cons of randomization procedures, the design of Phase II dose-ranging trials, thorough QT/QTc clinical trials, and assay sensitivity and the constancy assumption in noninferiority trials. The second section examines adaptive designs in drug development, discusses the consequences of group-sequential and adaptive designs, and illustrates group sequential design in R. The third section focuses on oncology clinical trials, covering competing risks, escalation with overdose control (EWOC) dose finding, and interval-censored time-to-event data. In the fourth section, the book describes multiple test problems with applications to adaptive designs, graphical approaches to multiple testing, the estimation of simultaneous confidence intervals for multiple comparisons, and weighted parametric multiple testing methods. The final section discusses the statistical analysis of biomarkers from omics technologies, biomarker strategies applicable to clinical development, and the statistical evaluation of surrogate endpoints. This book clarifies important issues when designing and analyzing clinical trials, including several misunderstood and unresolved challenges. It will help readers choose the right method for their biostatistical application. Each chapter is self-contained with references.
(source: Nielsen Book Data)