Practical Data Analytics for Innovation in Medicine: Building Real Predictive and Prescriptive Models in Personalized Healthcare and Medical Research Using AI, ML, and Related Technologies, Second Edition discusses the needs of healthcare and medicine in the 21st century, explaining how data analytics play an important and revolutionary role. With healthcare effectiveness and economics facing growing challenges, there is a rapidly emerging movement to fortify medical treatment and administration by tapping the predictive power of big data, such as predictive analytics, which can bolster patient care, reduce costs, and deliver greater efficiencies across a wide range of operational functions. Sections bring a historical perspective, highlight the importance of using predictive analytics to help solve health crisis such as the COVID-19 pandemic, provide access to practical step-by-step tutorials and case studies online, and use exercises based on real-world examples of successful predictive and prescriptive tools and systems. The final part of the book focuses on specific technical operations related to quality, cost-effective medical and nursing care delivery and administration brought by practical predictive analytics.

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.

A reflection of the intense study of the effects of electromagnetic fields on living tissues that has taken place during the last decades, Advanced Electroporation Techniques in Biology and Medicine summarizes most recent experimental findings and theories related to permeabilization of biomembranes by pulsed electric fields. Edited by experts and including contributions from pioneers in the field, the book focuses on biophysical mechanisms of electroporation and applications of this phenomenon in biomedical research and medicine. The field of electroporation is now mature enough to move from journal pages to book covers. The book leads readers from the basics and history of electroporation, through mechanisms of membrane permeabilization in lipid bilayers and living cells, to electrically-mediated gene delivery and cancer therapy in animals and humans. This book is an interdisciplinary compilation intended broadly for biomedical and physical scientists, engineers, and clinicians. It can also be used as a textbook for students in advanced courses in biomedical engineering, molecular and cell biology, as well as in biophysics and clinical medicine.

Point of care ultrasound is a critical tool required for assessing all patients, providing rapid answers to clinical questions and facilitating high quality care for patients. This essential guide caters for all generalist clinicians beginning their ultrasound journey and extends to more advanced assessments for those with established ultrasound experience wishing to advance their knowledge and skills. It covers a wide range of ultrasound topics from echocardiography, thoracic and COVID-19 to emerging areas such as palliative care, hospital at home and remote and austere medicine. An extensive collection of colour images, videos and examples of clinical applications will inspire readers to acquire the skills of point of care ultrasound quickly, safely and systematically. The printed code on the inside of the cover provides access to an online version on Cambridge Core. An essential aid for acute clinicians, paramedics, general practitioners as well as remote medical providers, medical educators and students.

This book presents the most recent research and applications in Biomedical Engineering, electronic health and TeleMedicine. Top-scholars and research leaders in the field contributed to the book. It covers a broad range of applications including smart platforms like DietHub which connects patients with doctors online. The book highlights the advantages of Telemedicine to improve the healthcare services and how it can contribute to the homogenization of medicine without any geographical barriers. Telemedicine transforms local hospitals, with limited services, into a node of an integrated network. In this manner, these nodes start to play an important role in preventive medicine and in high-level management of chronic diseases. The authors also discuss the challenges related to "health informatics" and in "e-health management". The topics of the book include: synchronous and asynchronous telemedicine with deep discussions on e-health applications, virtual medical assistance, real-time virtual visits, digital telepathology, home health monitoring, and medication adherence, wearable sensors, tele-monitoring hubs and sensors, Internet of Things, augmented and virtual reality as well as e-learning technologies. The scope of the book is quite unique particularly in terms of the application domains that it targets. It is a unique hub for the dissemination of state of the art research in the telemedicine field and healthcare ecosystems. The book is a reference for graduate students, doctors, and researchers to discover the most recent findings, and hence, it achieves breakthroughs and pushes the boundaries in the related fields.

Security and Privacy Issues in Internet of Medical Things addresses the security challenges faced by healthcare providers and patients. As IoMT devices are vulnerable to cyberattacks, and a security breach through IoMT devices may act as a pathway for hackers to enter hospital networks, the book covers a very timely topic. The incorporation of blockchain in the healthcare environment has given birth to the Internet of Medical Things (IoMT), which consists of a collection of healthcare systems that espouse groundbreaking technologies. Systems consist of inter-linked sensors, wearable technology devices and clinical frameworks that perform explicit, secure machine-to-machine and cloud platform communications. The significance of IoMT in the field of healthcare is undoubtedly a win-win situation for patients through technology enhancements and a collection of analytics that helps in better diagnosis and treatment. Due to higher accuracy levels, IoMT devices are more reliable in reporting and data tracking and help avoid human errors and incorrect reporting.

This book reviews the convergence technologies like cloud computing, artificial intelligence (AI) and Internet of Things (IoT) in healthcare and how they can help all stakeholders in the healthcare sector. The book is a proficient guide on the relationship between AI, IoT and healthcare and gives examples into how IoT is changing all aspects of the healthcare industry. Topics include remote patient monitoring, the telemedicine ecosystem, pattern imaging analytics using AI, disease identification and diagnosis using AI, robotic surgery, prediction of epidemic outbreaks, and more. The contributors include applications and case studies across all areas of computational intelligence in healthcare data. The authors also include workflow in IoT-enabled healthcare technologies and explore privacy and security issues in healthcare-based IoT.

The aim of the two-volume set of Placenta and Trophoblast: Methods and Protocols is to offer contemporary approaches for studying the biology of the placenta. The chapters contained herein also address critical features of the female organ within which the embryo is housed, the uterus, and some aspects of the embryo-fetus itself, particularly those of common experimental animal models. In keeping with the organization used effectively in other volumes in this series, each chapter has a brief introduction followed by a list of required items, protocols, and notes designed to help the reader perform the expe- ments without difficulty. In both volumes, sources of supplies are given and illustrations highlight particular techniques as well as expected outcomes. A key aspect of these volumes is that the contributors are at the forefronts of their disciplines, thus ensuring the accuracy and usefulness of the chapters. Placenta research has progressed rapidly over the past several decades by taking advantage of the technical advances made in other fields. For example, the reader will note that many techniques, such as reverse transcriptase po- merase chain reaction, northern and western blotting, microarray analyses and in situ hybridization experiments, are routinely used for dissecting a wide range of experimental questions. Protein analysis and functional experiments on tissues and cells that comprise the maternal-fetal interface benefit from studies in en- crinology, immunology, and developmental biology. These volumes also present new ideas on investigating gene imprinting and gene transfer via viral vectors.

This book fosters a scientific debate for sophisticated approaches and cognitive technologies (such as deep learning, machine learning and advanced analytics) for enhanced healthcare services in light of the tremendous scope in the future of intelligent systems for healthcare. The authors discuss the proliferation of huge data sources (e.g. genomes, electronic health records (EHRs), mobile diagnostics, and wearable devices) and breakthroughs in artificial intelligence applications, which have unlocked the doors for diagnosing and treating multitudes of rare diseases. The contributors show how the widespread adoption of intelligent health based systems could help overcome challenges, such as shortages of staff and supplies, accessibility barriers, lack of awareness on certain health issues, identification of patient needs, and early detection and diagnosis of illnesses. This book is a small yet significant step towards exploring recent advances, disseminating state-of-the-art techniques and deploying novel technologies in intelligent healthcare services and applications. Describes the advances of computing methodologies for life and medical science data; Presents applications of artificial intelligence in healthcare along with case studies and datasets; Provides an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians.

Intelligent and adaptive techniques are rapidly being used in all stages of medical treatment, from the initial diagnosis to planning delivery and follow-up therapy.To realize the full potential of these techniques, developers and end users must understand both the underlying technology and the specifics of the medical application considered. Focusing on this growing area of interest, Intelligent and Adaptive Systems in Medicine clearly and concisely explains a range of adaptive and intelligent systems, highlighting their benefits and limitations with realistic medical examples.

Bringing together theory and practice, this volume describes the application of adaptive and intelligent control as well as intelligent systems in the diagnosis, planning, treatment, and follow up of diseases such as cancer. Each chapter presents a family of an intelligent and adaptive system, explains the techniques and algorithms behind these systems, and explores how to solve medical and biomedical problems using intelligent and adaptive systems. The book focuses on the methods of fuzzy logic, artificial neural networks, neuro-fuzzy modeling, adaptive and predictive control, systems and statistical modeling, and image processing.

By assessing the use of intelligent and adaptive techniques for medical diagnosis and therapy, this guide promotes further research in this area of "techno-medicine." It provides researchers and clinicians with the tools and processes that are leading to the invaluable use of intelligent systems in early diagnoses and effective treatment.

Efforts to measure neurotransmitters and related s- cies in living brain tissue by faradic electrochemistry began in earnest in the early 1970s. During the ensuing years, s- eral monographs and various symposia on the subject have appeared. The present volume of Neuromethods, Voltammetric Methods in Brain Systems, can be considered different from previous offerings in several respects. The methodology of in vivo electrochemistry has now reached a stable level of maturity. It is no longer necessary to convince interested re- ers that the techniques can measure, with specified degrees of reliability, certain neurotransmitters and metabolites in the extracellular fluid space. Moreover, the basic approaches of electroanalytical measurements are more widely appre- ated by neuroscientists and one need not explain in tutorial fashion the details of oxidative electrochemistry. Nevert- less, in keeping with the nature of the Neurumethods series, this is a "how to" volume and readers will find ample detail on the preparation of electrodes, practical experimental details, and the interpretation of results. But the emphasis is strongly on the application of voltammetric methods. The first two chapters deal with fundamentals inherent in employing in vivo electrochemical measures. The first - ticle offers an authoritative account of our understanding of the surface states of carbon and carbon fiber electrodes. It provides a rationale for the various pretreatments that have allowed the "tuning" of electrode properties to obtain sen- tivity and fast response times.

Microbiological matters continue to exercise considerable influence on product quality. In both the pharmaceutical and medical device industries, products of greater sophistication, along with evolving regulatory requirements, are elevating the challenges related to maintaining microbiological integrity.
Updated to reflect technological and regulatory changes, the Guide to Microbiological Control in Pharmaceuticals and Medical Devices, Second Edition covers thoseprincipal aspects of microbiology that arerelevant to the preformulation, formulation, manufacturing, and license application stages involved with the production of pharmaceuticals and medical devices.
In recognition of the diverse disciplines involved in pharmaceutical and medical device production, this work provides a brief introduction to microbiology geared towards the nonmicrobiologist. Covering good manufacturing practice in the control of contamination, the text explores quality control, the preservation of formulations, and principles of sterilization, including microbiological-specific considerations for biotechnological products and other medical devices. It also provides additional materials on package integrity and contamination risks in clean rooms.
The editors have produced a companion text, the Handbook of Microbiological Quality Control in Pharmaceuticals and Medical Devices ("see reverse"), which when paired with the Guide offers a complete theoretical and practical treatment of microbiological control.
This book provides a comprehensive distillation of information concerning methodology and regulations that would otherwise remain scattered throughout the literature. It allows scientists frommany fields to address potential problems in advance and implement suitable strategies at the earliest stages of development.

This book provides an interdisciplinary look at emerging trends in signal processing and biomedicine found at the intersection of healthcare, engineering, and computer science. It examines the vital role signal processing plays in enabling a new generation of technology based on big data, and looks at applications ranging from medical electronics to data mining of electronic medical records. Topics covered include analysis of medical images, machine learning, biomedical nanosensors, wireless technologies, and instrumentation and electrical stimulation. Biomedical Signal Processing: Innovation and Applications presents tutorials and examples of successful applications, and will appeal to a wide range of professionals, researchers, and students interested in applications of signal processing, medicine, and biology.

Although the use of new health technologies in healthcare and medicine is generally seen as beneficial, there has been little analysis of the impact of such technologies on people's lives and understandings of health and illness. This ground-breaking book explores how new technologies not only provide hope for cure and well-being, but also introduce new ethical dilemmas and raise questions about the 'natural' body. Focusing on the ways new health technologies intervene into our lives and affect our ideas about normalcy, the body and identity, Medical Technologies and the Life World explores: how new health technologies are understood by lay people and patients how the outcomes of these technologies are communicated in various clinical settings how these technologies can alter our notions of health and illness and create 'new illness'. Written by authors with differing backgrounds in phenomenology, social psychology, social anthropology, communication studies and the nursing sciences, this sensational text is essential reading for students and academics of medical sociology, health and allied studies, and anyone with an interest in new health technologies.

Bioenhancers have been used in Ayurveda historically and are now being investigated for their pharmacological effi cacy. Herbal bioenhancers work on the gastrointestinal tract to improve absorption and drug bioavailability by acting on the drug metabolic process. Many herbal drugs show low activity due to their poor lipid solubility or improper molecular size. Piperine, gingerol, naringin, quercetin, niaziridin, glycyrrhizin, allicin, curcumin, genistein and others are able to enhance the bioavailability of active pharmaceuticals. This book details various facets of herbal bio-enhancers in a single comprehensive text.

This book presents innovative research works to demonstrate the potential and the advancements of computing approaches to utilize healthcare centric and medical datasets in solving complex healthcare problems. Computing technique is one of the key technologies that are being currently used to perform medical diagnostics in the healthcare domain, thanks to the abundance of medical data being generated and collected. Nowadays, medical data is available in many different forms like MRI images, CT scan images, EHR data, test reports, histopathological data and doctor patient conversation data. This opens up huge opportunities for the application of computing techniques, to derive data-driven models that can be of very high utility, in terms of providing effective treatment to patients. Moreover, machine learning algorithms can uncover hidden patterns and relationships present in medical datasets, which are too complex to uncover, if a data-driven approach is not taken. With the help of computing systems, today, it is possible for researchers to predict an accurate medical diagnosis for new patients, using models built from previous patient data. Apart from automatic diagnostic tasks, computing techniques have also been applied in the process of drug discovery, by which a lot of time and money can be saved. Utilization of genomic data using various computing techniques is another emerging area, which may in fact be the key to fulfilling the dream of personalized medications. Medical prognostics is another area in which machine learning has shown great promise recently, where automatic prognostic models are being built that can predict the progress of the disease, as well as can suggest the potential treatment paths to get ahead of the disease progression.

This book presents recent work on healthcare management and engineering using artificial intelligence and data mining techniques. Specific topics covered in the contributed chapters include predictive mining, decision support, capacity management, patient flow optimization, image compression, data clustering, and feature selection. The content will be valuable for researchers and postgraduate students in computer science, information technology, industrial engineering, and applied mathematics.

Biomaterials are composed of metallic materials, ceramics, polymers, composites and hybrid materials. Biomaterials used in human beings require safety regulations, toxicity, allergic reaction, etc. When used as implantable materials their biological compatibility, biomechanical compatibility, and morphological compatibility must be acessed. This book explores the design and requirements of biomaterials for the use in implantology.

This book reviews the recent research into biological aspects of suicide behavior and outlines each of the varied, recent approaches to prevent suicide. Suicidal behavior, perhaps, is the most complex behavior that combines biological, social, and psychological factors. A new frontier and new opportunities are opening with the technologies of data acquisition and data analysis. Personalized models based on digital phenotype could provide promising strategies for preventing suicide.

Challenged by stringent regulations, vigorous competition, and liability lawsuits, medical device manufactures must develop safe, reliable, and cost-effective products, and managing and reducing risk is a vital element of reaching that goal. These guidelines focus on Failure Modes and Effects Analysis (FMEA) and its application throughout the life cycle of a medical device. It outlines the major U.S. and E.U. standards and regulations and provides a detailed yet easy-to-read overview of risk management and risk analysis methodologies, common FMEA pitfalls, and FMECA-Failure Mode, Effects, and Criticality Analysis.

Guidelines for Failure Modes and Effects Analysis for Medical Devices is written as a practical guide to achieving corporate consistency while dramatically cutting the time required for studies. It will help you prevent patient injuries, costly product recalls, and production department down-time.

Discover how the FMEA methodology can help your company achieve a more cost-effective manufacturing process by improving the quality and reliability of your products. This new FMEA manual from the experts at Dyadem is the ultimate resource for you and your colleagues to learn more about Failure Modes and Effects Analysis and then teach others at your facility. This comprehensive manual is sure to become a standard reference for engineering professionals.

This book presents the latest cutting edge research, theoretical methods, and novel applications in the field of computational intelligence and computational biological approaches that are aiming to combat COVID-19. The book gives the technological key drivers behind using AI to find drugs that target the virus, shedding light on the structure of COVID-19, detecting the outbreak and spread of new diseases, spotting signs of a COVID-19 infection in medical images, monitoring how the virus and lockdown is affecting mental health, and forecasting how COVID-19 cases and deaths will spread across cities and why. Further, the book helps readers understand computational intelligence techniques combating COVID-19 in a simple and systematic way.

Contemporary Management of Metastatic Colorectal Cancer: A Precision Medicine Approach summarizes current knowledge and provides evidenced-based practice recommendations on how to treat patients with metastatic colorectal cancer. The book presents topics such as pre-operating imaging, the use of molecular markers in treatment decisions, neoadjuvant therapy, synchronous colorectal liver metastasis, and minimally invasive approaches. In addition, it discusses immunotherapy, targeted therapies and survivorship. This is a valuable resource for practitioners, cancer researchers, oncologists, graduate students and members of biomedical research who need to understand more about novel treatments for colorectal cancer metastasis.

Artificial Intelligence for Improved Patient Outcomes provides new, relevant, and practical information on what AI can do in healthcare and how to assess whether AI is improving health outcomes. With clear insights and a balanced approach, this innovative book offers a one-stop guide on how to design and lead pragmatic real-world AI studies that yield rigorous scientific evidence-all in a manner that is safe and ethical. Daniel Byrne, Director of Artificial Intelligence Research at AVAIL (the Advanced Vanderbilt Artificial Intelligence Laboratory) and author of landmark pragmatic studies published in leading medical journals, shares four decades of experience as a biostatistician and AI researcher. Building on his first book, Publishing Your Medical Research, the author gives the reader the competitive advantage in creating reproducible AI research that will be accepted in prestigious high-impact medical journals. Provides easy-to-understand explanations of the key concepts in using and evaluating AI in medicine. Offers practical, actionable guidance on the mechanics and implementation of AI applications in medicine. Shares career guidance on a successful future in AI in medicine. Teaches the skills to evaluate AI tools and avoid being misled by the hype. For a wide audience of healthcare professionals impacted by Artificial Intelligence in medicine, including physician-scientists, AI developers, entrepreneurs, and healthcare leaders who need to evaluate AI applications designed to improve safety, quality, and value for their institutions. Enrich Your eBook Reading Experience Read directly on your preferred device(s), such as computer, tablet, or smartphone. Easily convert to audiobook, powering your content with natural language text-to-speech.

The book, to the best of the editor's knowledge, is the first text of its kind that presents both the traditional and the modern aspects of 'dialysis modeling and control' in a clear, insightful and highly comprehensive writing style. It provides an in-depth analysis of the mathematical models and algorithms, and demonstrates their applications in real world problems of significant complexity. The material of this book can be useful to advanced undergraduate and graduate biomedical engineering students. This text provides an important focus on helping students understand how new concepts are related to and rely upon concepts previously presented. Also, researchers and practitioners in the field of dialysis, control systems, soft computing may benefit from it. The material is organized into 32 chapters. This book explains concepts in a clear, matter-of-fact style. In order to make the reader aware of the applied side of the subject, the book includes: Chapter openers with a chapter outline, chapter objectives, key terms list, and abstract. Solved numerical examples to illustrate the application of a particular concept, and also to encourage good problem-solving skills. More than 1000 questions to give the readers a better insight to the subject. Case studies to understand the significance of the joint usage of the dialysis modeling and control techniques in interesting problems of the real world. Summation and deepening of authors' works in recent years in the fields related. So the readers can get latest information, including latest research surveys and references related to the subjects through this book. It is hoped that through this book the reader will: Understand the fundamentals of dialysis systems and recognize when it is advantageous to use them. Gain an understanding of the wide range of dialysis modeling techniques Be able to use soft computing techniques in dialysis applications. Gain familiarity with online systems of dialysis and their applications. Recognize the relationship between conceptual understanding and problem-solving approaches. The editors would like to take this opportunity to thank all the authors for their contributions to this textbook. Without the hard work of our contributors, this book would have not been possible. The encouragement and patience of series Editor, Thomas Ditzinger is very much appreciated. Without his continuous help and assistance during the entire course of this project, the production of the book would have taken a great deal longer.

This book is the first text of its kind that presents both the traditional and the modern aspects of dialysis modeling and control in a clear, insightful and highly comprehensive writing style. It provides an in-depth analysis of the mathematical models and algorithms, and demonstrates their applications in real world problems of significant complexity. It explains concepts in a clear, matter-of-fact style. The material of this book will be useful to advanced undergraduate and graduate biomedical engineering students. Also, researchers and practitioners in the field of dialysis, control systems, soft computing will benefit from it.

In order to make the reader aware of the applied side of the subject, the book includes:

Chapter openers with a chapter outline, chapter objectives, key terms list, and abstract.

Solved numerical examples to illustrate the application of a particular concept, and also to encourage good problem-solving skills.

More than 1000 questions to give the readers a better insight to the subject.

Case studies to understand the significance of the joint usage of the dialysis modeling and control techniques in interesting problems of the real world.

latest information, including latest research surveys and references related to the subjects"