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Support vector machines (SVMs) are used in a range of applications, including drug design, food quality control, metabolic fingerprint analysis, and microarray data-based cancer classification. While most mathematicians are well-versed in the distinctive features and empirical performance of SVMs, many chemists and biologists are not as familiar with what they are and how they work. Presenting a clear bridge between theory and application, Support Vector Machines and Their Application in Chemistry and Biotechnology provides a thorough description of the mechanism of SVMs from the point of view of chemists and biologists, enabling them to solve difficult problems with the help of these powerful tools. Topics discussed include: Background and key elements of support vector machines and applications in chemistry and biotechnology Elements and algorithms of support vector classification (SVC) and support vector regression (SVR) machines, along with discussion of simulated datasets The kernel function for solving nonlinear problems by using a simple linear transformation method Ensemble learning of support vector machines Applications of support vector machines to near-infrared data Support vector machines and quantitative structure-activity/property relationship (QSAR/QSPR) Quality control of traditional Chinese medicine by means of the chromatography fingerprint technique The use of support vector machines in exploring the biological data produced in OMICS study Beneficial for chemical data analysis and the modeling of complex physic-chemical and biological systems, support vector machines show promise in a myriad of areas. This book enables non-mathematicians to understand the potential of SVMs and utilize them in a host of applications.
Microbial applications encompass areas including biotechnology, chemical engineering, and alternative fuel development. Research on their technological developments cover many aspects of work using microbes as cell factories. The fields of biotechnology, chemical engineering, pharmaceuticals, diagnostics and medical device development also employ these microbial products. There is an urgent need to integrate all these disciplines that caters to the need of all those who are interested to work in the area of microbial technologies. This book is a step forward to integrate the aforesaid frontline branches into an interdisciplinary research work quenching the academic as well as research thirst of all those concerned about microbes in the respective area of biotechnology, chemical engineering, and pharmaceuticals. All the chapters in this book are related to important research on microbial applications, written by international specialists for researchers and academics in the concerned disciplines. This publication aims to provide a detailed compendium of experimental work and information used to investigate different aspects of microbial technologies, their products as well as interdisciplinary interactions including biochemistry of metabolites, in a manner that reflects the recent developments of relevance to researchers/scientists investigating microbes.
This clear-sighted volume introduces the concept of "disruptive cooperation"- transformative partnerships between the health and technology sectors to eliminate widespread healthcare problems such as inequities, waste, and inappropriate care. Emphasizing the most pressing issues of a world growing older with long-term chronic illness, it unveils a new framework for personalized, integrative service based in mobile technologies. Coverage analyzes social aspects of illness and health, clinically robust uses of health data, and wireless and wearable applications in intervention, prevention, and health promotion. And case studies from digital health innovators illustrate opportunities for coordinating the service delivery, business, research/science, and policy sectors to promote healthier aging worldwide. Included among the topics: Cooperation in aging services technologies The quantified self, wearables, and the tracking revolution Smart healthy cities: public-private partnerships Beyond silos to data analytics for population health Cooperation for building secure standards for health data Peer-to-peer platforms for physicians in underserved areas: a human rights approach to social media in medicine Disruptive Cooperation in Digital Health will energize digital health and healthcare professionals in both non-profit and for-profit settings. Policymakers and public health professionals with an interest in innovation policy should find it an inspiring ideabook.
The nanosciences are a rapidly expanding field of research with a wide applicability to all areas of health and disease prevention. This book, covers the regulation of nanomedicine, nanotubes, topical applications of nanoparticles, nanocrystals, antioxidant nanoparticles, lipid nanocapsules, nanotheragnostic colloids, nanotechnology in the control of infectious disease, virus-based nanoparticles and the safety of nanoparticles. It also covers nanomedicine in relation to pulmonary drug delivery, the control of infectious disease, radiation protection, arthritis, cancer nanomedicine, blood diseases, neurodegenerative disorders, and tissue and implant engineering.
"For all phlebotomy courses in programs for Medical/Clinical Laboratory Scientists, Medical Laboratory Technicians, Phlebotomists, Medical Assistants, Nurse Assistants, and Physician Assistants; and other health profession educational programs." The complete phlebotomy guide that's ideal for both the classroom and in-practice pre-analytic reference -- now updated with new safety procedures, equipment, standards, CLSI standards, and NAACLS competencies. "Phlebotomy Handbook, Ninth Edition"links health care students and providers to the latest information, procedures, skills, standards, and equipment for safe, effective blood collection. Its contents have been selected and organized to improve diagnostic and therapeutic laboratory testing through better pre-exam blood collection knowledge, and by teaching skills that lead to better patient outcomes. Starting simple, it builds to increasingly complex competencies, covering all the crucial communication, clinical, technical, and safety skills that health care practitioners need. This edition fully reflects the latest guidelines from the Clinical and Laboratory Standards Institute (CLSI) and the National Accrediting Agency for Clinical Laboratory Sciences (NAACLS), with references to international standards as appropriate. It also reflects an even stronger focus on patient and healthcare provider safety. Also available: access to Pearson's state-of-the-art MyHealthProfessionsLab, and a complete eText version of the book. Teaching and Learning Experience This book will help health professionals and students quickly master today's best standards are practices in blood and specimen collection:
Written by leading teledermatologists and telemedicine experts, this hands-on guide addresses the practical needs of the many emerging teledermatology services worldwide. It covers the medical and technical prerequisites for such services as well as the photographic imaging essentials. It also illustrates the performance of teledermatology by means of clinical examples, discusses teledermatology in underdeveloped countries, and presents specialized methods of teledermatology. The impact of telemedicine on the doctor-patient relationship is explored, and the advantages that accrue from improving access to expert knowledge are explained. In addition, quality assurance, legal assumptions, economic aspects, and the future horizons of such health care services are all considered. A comprehensive appendix provides information on training opportunities, sample protocols, consent forms, information sheets, references, and relevant web links.
Rapid technological developments have led to increasingly efficient sequencing approaches. Next Generation Sequencing (NGS) is increasingly common and has become cost-effective, generating an explosion of sequenced data that need to be analyzed. The skills required to apply computational analysis to target research on a wide range of applications that include identifying causes of cancer, vaccine design, new antibiotics, drug development, personalized medicine and higher crop yields in agriculture are highly sought after.This invaluable book provides step-by-step guides to complex topics that make it easy for readers to perform essential analyses from raw sequenced data to answering important biological questions. It is an excellent hands-on material for teachers who conduct courses in bioinformatics and as a reference material for professionals. The chapters are written to be standalone recipes making it suitable for readers who wish to self-learn selected topics. Readers will gain skills necessary to work on sequenced data from NGS platforms and hence making themselves more attractive to employers who need skilled bioinformaticians to handle the deluge of data.
This book sets the stage for understanding how the exponential escalation of digital ubiquity in the contemporary environment is being absorbed, modulated, processed and actively used for enhancing the performance of our built environment. S.M.A.R.T., in this context, is thus used as an acronym for Systems & Materials in Architectural Research and Technology, with a specific focus on interrogating the intricate relationship between information systems and associative material, cultural and socioeconomic formations within the built environment. This interrogation is deeply rooted in exploring inter-disciplinary research and design strategies involving nonlinear processes for developing meta-design systems, evidence based design solutions and methodological frameworks, some of which, are presented in this issue. Urban health and wellbeing, urban mobility and infrastructure, smart manufacturing, Interaction Design, Urban Design & Planning as well as Data Science, as prominent symbiotic domains constituting the Built Environment are represented in this first book in the S.M.A.R.T. series. The spectrum of chapters included in this volume helps in understanding the multivalence of data from a socio-technical perspective and provides insight into the methodological nuances involved in capturing, analysing and improving urban life via data driven technologies.
This year marks the 70th anniversary of 'Human Heredity'. The journal has seen all the major milestones in the field of human genetics. Through the accumulation of genomic data on large population samples, we now have unprecedented opportunities to uncover the complex genetic underpinnings of a disease, paving the way to precision medicine. These advances also pose new challenges: how to process, analyze, and integrate large-scale, multi-dimensional, genomic data with heterogeneous, complex phenotypes. Thus, bioinformatics has become indispensable for human genetics research. In recognition of this, 'Human Heredity' is publishing a special issue covering not only traditional areas of genotype imputation, genetic and epigenetic interactions, but also cutting-edge technologies such as single-cell RNA sequencing, deep learning, and multi-omics data integration. In this publication, current tools for genotype imputation from genome-wide association (GWAS) data are systematically evaluated. A statistical framework to integrate data from GWASs, expression quantitative trait loci, and protein-protein interactions has been developed, which could significantly improve the prediction accuracy. A novel, nonparametric, gene-centric approach is applied to test the interaction between SNPs and epigenetic CpG sites using the data from the Asthma BioRepository for Integrative Genomic Exploration (Asthma BRIDGE) project. A deep learning approach for tRNA prediction is introduced and 13 models are built from 3 popular deep learning architectures. Finally, a study on how the exome capture kit affects the quality of single-cell whole-exome sequencing is presented. 'Human Heredity' welcomes more submissions of high-quality manuscripts in bioinformatics, genomics, and computational biology.
Mechanical Behaviour of Biomaterials focuses on the interface between engineering and medicine, where new insights into engineering aspects will prove to be extremely useful in their relation to the biomedical sciences and their applications. The book's main objective focuses on the mechanical behavior of biomaterials, covering key aspects, such as mechanical properties, characterization and performance. Particular emphasis is given to fatigue, creep and wear, fracture, and stress and strain relationships in biomaterials. Chapters look at both experimental and theoretical results. Readers will find this to be an essential reference for academics, biomechanical researchers, medical doctors, biologists, chemists, physicists, mechanical, biomedical and materials engineers and industrial professionals.
Biologists find computing bewildering; yet they are expected to be able to process the voluminous data available from the machines they buy and the datasets that has accumulated in genomic databanks worldwide. It is now increasingly difficult for them to avoid dealing with large volumes of data, that goes beyond just doing manual programming.Most books in this realm are full of equations and complex code but this book gives a much gentler entry point particularly for biologists, with code snippets users can use to cut and paste, and run on their Linux or MacOSX operating system or cloud instance. It also provides a step by step installation instructions which they can easily follow. Those who are in the field of genome sequencing and already familiar with the procedures of analysis, may also find this book useful in closing some knowledge gaps.High throughput sequencing requires high throughput and high performance computing. This book provides a gentle entry to high throughput sequencing by dealing with simple skills which the average biologist is increasingly required to master. You will find this book a breeze to read, and some suggestions in this book maybe new to you, something you might want to try out.
A leading edge look at the dynamic field of computer modeling of cardi ac electrophysiology. This book is among the first to give a comprehe nsive overview of the promising and rapidly growing field of computer modeling of the heart. The success of this new field strongly depends on the establishment of multidisciplinary exchanges of information. Ac cordingly, scientists from different horizons, including clinicians, b asic electrophysiologists, engineers, and mathematicians, have all con tributed to this succinct work. The bookFs aim is to show how compute r modeling can help us to understand the mechanisms of cardiac arrhyth mia and to develop new therapeutic strategies. In addition to computer simulation results, it presents the corresponding experimental data, efficiently gathering in one book research work on simulation and expe riments on humans and animals. Electrophysiologists, cardiologists, b iomedical engineers, biophysicists, and others interested in the field of computer modeling of cardiac electrophysiology, will all benefit f rom this current, dynamic review.
The use of polymers in medicine has become a reality over the last
10 years. Scientists have been attempting to develop biomimetic
materials to substitute for flawed or damaged natural systems. This
new book presents the most up-to-date developments in the use of
synthetic polymers as biomaterials.
The first edition of Medical Bioinformatics and Biochemistry (Diabormatics) explains how medical biochemistry and bioinformatics could be used as a tool for analyzing the research data related to disease diagnosis and treatment. Bioinformatics is an interdisciplinary approach that includes concepts of biotechnology, microbiology, molecular biology, medicine and forensic science. This book is based on the recent development in the research dynamics of medical bioinformatics, biochemistry and progress in these fields. The book provides reference material for students of medical and life sciences. The development in genomic sequencing and in silico biology has provided the data needed to accomplish comparisons of derived nucleotide and protein sequences. The results of analysis may be used to formulate and test hypotheses about biochemical function. This first edition provides readers with a practical guide covering the full scope of concepts in medical bioinformatics and biochemistry related to diabetes. The basic purpose of this book is for students of medical and life sciences to understand the research methods of biochemistry and bioinformatics. This includes storing, receiving, and analyzing data from databases using various in silico tools. This book is a useful source of knowledge for MBBS, B.Sc, M.Sc / M.D. / M.S. and Ph.D level students looking for an accessible introduction to the subject.
The purpose of this book is to summarize key strategies and recent accomplishments in the area of developing cell/biomaterial constructs for regenerative medicine. The first section is a review of the state-of-the-art of biomaterial carriers and is divided into synthetic and natural materials. A subset of the latter are decellularized organs which retain the structure and some of the biological activities of the target organ. The bulk of the book is devoted to unique problems associated with key tissue and organ targets. Key selling features: Describes developing cell/biomaterial constructs for regenerative medicine Reviews state-of-the-art of biomaterial carriers Summarizes the unique problems associated with key tissue and organ targets Discusses issues associated with clinical translation including quality control, manufacturing practices, nondestructive imaging, and animal models
This book presents a hands on approach to the digital health innovation and entrepreneurship roadmap for digital health entrepreneurs and medical professionals who are dissatisfied with the existing literature on or are contemplating getting involved in digital health entrepreneurship. Topics covered include regulatory affairs featuring detailed guidance on the legal environment, protecting digital health intellectual property in software, hardware and business processes, financing a digital health start up, cybersecurity best practice, and digital health business model testing for desirability, feasibility, and viability. Digital Health Entrepreneurship is directed to clinicians and other digital health entrepreneurs and stresses an interdisciplinary approach to product development, deployment, dissemination and implementation. It therefore provides an ideal resource for medical professionals across a broad range of disciplines seeking a greater understanding of digital health innovation and entrepreneurship.
Basic Biostatistics for Medical and Biomedical Practitioners, Second Edition makes it easier to plan experiments, with an emphasis on sample size. It also shows what choices are available when simple tests are unsuitable and offers investigators an overview of how the kinds of complex tests that they won't do on their own work. The second edition presents a new, revised and enhanced version of the chapters, taking into consideration new developments and tools available, discussing topics, such as the basic aspects of statistics, continuous distributions, hypothesis testing, discrete distributions, probability in epidemiology and medical diagnosis, comparing means, regression and correlation. This book is a valuable source for students and researchers looking to expand or refresh their understanding of statistics as it applies to the biomedical and research fields. Based on the author's 40+ years of teaching statistics to medical fellows and biomedical researchers across a wide range of fields, it is a valuable source for researchers who need to understand more about biostatistics to apply it to their work.
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