Biomedicinsk teknik

This book presents novel statistics methods and reproducible software that helps to solve challenging problems in biomedicine. Specifically, it consists of a collection of 11 chapters contributed by some of the leading experts in the mathematical and statistical field which address new challenges in very disparate biomedical areas, such as genomics, cancer, circadian biology, microbiome, mental disorders, and more. The mathematical rigor is written in a user-friendly way to serve a general biomedical audience ranging from trainees or students to doctors, as well as scientific researchers, university departments, and PhD students.

Smart and Intelligent Nanostructured Materials for Next-Generation Biosensors provides an up-to-date review of biosensor development and applications, with a focus on incorporating smart and intelligent nanomaterials for improved outcomes. The book covers a range of smart and intelligent nanomaterials for use in biosensors, including two popular classes: MXenes and carbon-based nanomaterials. Later chapters explore a variety of biosensor applications, such as in biomedicine, agriculture, and environment. This book is a useful reference for materials scientists, biomedical engineers, analytical and biochemists with an interest in smart/intelligent nanomaterials for biosensors.

Hybrid Polymeric Systems for Biomedical Applications explores the development and utilization of hybrid polymeric systems for use in a range of biomedical applications. Hybrid systems combine the specialized properties of each polymer type to produce a more targeted material which is much more tightly aligned with the intended application and outcome. This book covers a broad selection of hybrid polymeric systems as well as a variety of key biomedical applications, including tissue engineering, drug delivery, wound healing, and more.

Reproducibility in Biomedical Research: Epistemological and Statistical Problems, Second Edition explores the ideas and conundrums inherent in scientific research. This second edition addresses new challenges to reproducibility in biosciences, namely reproducibility of machine learning Artificial Intelligence (AI), reproducibility of translation from research to medical care, and the fundamental challenges to reproducibility. All current chapters are expanded to cover advances in the topics previously addressed. This book provides biomedical researchers with a framework to better understand the reproducibility challenges in the area. Newly introduced interactive exercises and updated case studies help students understand the fundamental concepts involved in the area.

Self-powered Sensors: A Path to Wearable Electronics features recent developments in chemical, photonic, pharmaceutical, microbiological, biomimetic, and bio-inspired approaches for MEMS/NEMS and medicinal self-powered sensors. Unconventional nanomaterial sensors driven by self-sufficient energy are given a contemporary review, with a focus on the categorization of energy sources and comparisons of research involving self-powered solar, piezoresistive, triboelectric, and thermodynamic technologies. This book also focuses on the different techniques, materials, comparisons of fabrication of self-powered sensors as well as thermoelectric self-powered sensors and its implantable applications.

This book gathers selected, extended and revised contributions to the 17th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering and the 5th Conference on Imaging and Visualization (CMBBE 2021), held online on September 7-9, 2021, from Bonn, Germany. It reports on cutting-edge models, algorithms and imaging techniques for studying cells, tissues and organs in normal and pathological conditions. It covers numerical and machine learning methods, finite element modeling and virtual reality techniques, applied to understand biomechanics of movement, fluid and soft tissue biomechanics. It also reports on related advances in rehabilitation, surgery and diagnosis. All in all, this book offers a timely snapshot of the latest research and current challenges at the interface between biomedical engineering, computational biomechanics and biological imaging. Thus, it is expected to provide a source of inspiration for future research and cross-disciplinary collaborations.

This book provides a practical and fairly comprehensive review of Data Science through the lens of dimensionality reduction, as well as hands-on techniques to tackle problems with data collected in the real world. State-of-the-art results and solutions from statistics, computer science and mathematics are explained from the point of view of a practitioner in any domain science, such as biology, cyber security, chemistry, sports science and many others. Quantitative and qualitative assessment methods are described to implement and validate the solutions back in the real world where the problems originated.The ability to generate, gather and store volumes of data in the order of tera- and exo bytes daily has far outpaced our ability to derive useful information with available computational resources for many domains.This book focuses on data science and problem definition, data cleansing, feature selection and extraction, statistical, geometric, information-theoretic, biomolecular and machine learning methods for dimensionality reduction of big datasets and problem solving, as well as a comparative assessment of solutions in a real-world setting.This book targets professionals working within related fields with an undergraduate degree in any science area, particularly quantitative. Readers should be able to follow examples in this book that introduce each method or technique. These motivating examples are followed by precise definitions of the technical concepts required and presentation of the results in general situations. These concepts require a degree of abstraction that can be followed by re-interpreting concepts like in the original example(s). Finally, each section closes with solutions to the original problem(s) afforded by these techniques, perhaps in various ways to compare and contrast dis/advantages to other solutions.

Quantitative ultrasound (QUS) continues to mature as a research field and is primed to make a swift transition to routine preclinical and clinical applications. This book will serve two main purposes:Advanced education in QUS by providing a complete and thorough review of all theoretical, physical, and engineering aspects of QUS.Review of recent development of QUS by lead contributors in the research field.This 2nd edition will focus on 6 modern research topics related to quantitative ultrasound of soft tissues:Spectral-based methods for tissue characterization, tissue typing, cancer detection, etc.Attenuation estimation for tissue characterization and improving spectral based methodsEnvelope statistics analysis as a means of quantifying and imaging tissue properties.Ultrasound computed tomography for preclinical and clinical imaging.Scanning acoustic microscopy for formingimages of mechanical properties of soft tissues with micron resolution.Phantoms for quantitative ultrasound.

This book (Technological Advancement in Instrumentation & Human Engineering) gathers selected papers submitted to the 6th International Conference on Mechanical Engineering Research in fields related to human engineering, ergonomics, vibration, instrumentation, Internet of Things and signal processing. This proceeding consists of papers in aforementioned related fields presented by researchers and scientists from universities, research institutes and industry showcasing their latest findings and discussions with an emphasis on innovations and developments in embracing the new norm, resulting from the COVID pandemic.

This volume provides a comprehensive introduction into methods and procedures on the preparation and characterization of animal tissue-derived extracellular matrix scaffolds primarily from bubaline, caprine, porcine, ovine, rabbit, rat and fish source. Chapters guide readers through decellularization protocol unique to the particular animal tissue and animal studies outcomes. Authoritative and cutting-edge, Tissue Scaffolds aims to be a useful and practical guide to new researchers and experts looking to expand their knowledge. 

This book highlights contemporary state of research in multidisciplinary areas in computer science, computer engineering, chemical engineering, mechanical engineering, physics, biomedical sciences, life sciences, medicine, and health care. The accepted submissions to the 7th IRC Conference on Science, Engineering and Technology (IRC-SET 2021) that were presented on August 7, 2021, are published in this conference proceedings. The papers presented here were shortlisted after extensive rounds of rigorous reviews by a panel of esteemed individuals who are pioneers and experts in their respective domains.

This book provides an interdisciplinary look at emerging trends in signal processing and biomedicine found at the intersection of healthcare, engineering, and computer science. Bringing together expanded versions of selected papers presented at the 2020 IEEE Signal Processing in Medicine and Biology Symposium (IEEE SPMB), 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 Sensing and Analysis: Signal Processing in Medicine and Biology 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.Presents an interdisciplinary look at research trends in signal processing and biomedicine;Promotes collaboration between healthcare practitioners and signal processing researchers;Includes tutorials and examples of successful applications.

This book reports on advances in human modeling techniques, covering cutting-edge algorithms and their practical implementation in health and medicine, automotive, clothing, virtual reality simulations, robotics, and assistive technologies. Gathering the proceedings of the 8th International Digital Human Modeling Symposium, held on September 4-6, 2023, in Antwerp, Belgium, it offers a timely snapshot on interdisciplinary, applied research, at the interface between computer science, ergonomics, engineering, design, health and technologies.

This book serves as an introduction to the concepts of medical biotechnology, with great details about fundamentals and early disciplines of study as well as emerging fields and the latest research. The book follows a chronological order from the earliest discoveries and breakthroughs of medical biotechnology to the latest areas of study. The book contains up-to-date citations for each chapter and section, which makes it easy for the reader to understand the concept and also to follow the latest developments in the particular area. It is an ideal book for undergraduate and graduate students who aspire to derive basic knowledge and are also keen on learning about the latest advancements in the field of medical biotechnology. 

This volume covers the latest key aspects of therapeutic protein applications. Chapters in this book cover topics such as the discovery, production, and conjugation of protein-proteins with discussions on the direction of future development and advancements; ways to use these engineering proteins for therapeutic and vaccine applications; and the use of modified protein nanocarriers. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.Cutting-edge and practical, Therapeutic Proteins: Methods and Protocols is a valuable resource for any researcher who are interested in learning more about the field of therapeutic proteins.

This monograph contains an in-depth and coherent treatment of dimension-reduced modeling of blood flows on the level of large vessels (macrocirculation). The authors reduce the complexity by combining a one-dimensional Navier-Stokes equation and a simplified FSI-concept. The influence of omitted vessels, which are subsequent to the outlets of larger vessels, is accounted for by systems of ordinary differential equations (0D models). The target audience primarily comprises research experts in the field of biomedical engineering, but the book may also be beneficial for graduate students alike.

This book provides both the developers and the users with an awareness of the challenges and opportunities of advancements in healthcare paradigm with the application and availability of advanced hardware, software, tools, technique or algorithm development stemming the Internet of Things. The book helps readers to bridge the gap in their three understanding of three major domains and their interconnections: Hardware tested and software APP development for data collection, intelligent protocols for analysis and knowledge extraction. Medical expertise to interpret extracted knowledge towards disease prediction or diagnosis and support. Security experts to ensure data correctness for precise advice. The book provides state-of-the-art overviews by active researchers, technically elaborating healthcare architectures/frameworks, protocols, algorithms, methodologies followed by experimental results and evaluation. Future direction and scope will be precisely documented for interested readers.

This book includes high-quality papers presented at the Second International Symposium on Computer Vision and Machine Intelligence in Medical Image Analysis (ISCMM 2021), organized by Computer Applications Department, SMIT in collaboration with Department of Pathology, SMIMS, Sikkim, India, and funded by Indian Council of Medical Research, during 11 - 12 November 2021. It discusses common research problems and challenges in medical image analysis, such as deep learning methods. It also discusses how these theories can be applied to a broad range of application areas, including lung and chest x-ray, breast CAD, microscopy and pathology. The studies included mainly focus on the detection of events from biomedical signals.

This volume details the development of updated dry lab and wet lab based methods for the reconstruction of Gene regulatory networks (GRN). Chapters guide readers through culprit genes, in-silico drug discovery techniques, genome-wide ChIP-X data, high-Throughput Transcriptomic Data Exome Sequencing, Next-Generation Sequencing, Fuorescence Spectroscopy, data analysis in Bioinformatics, Computational Biology, and S-system based modeling of GRN. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and key tips on troubleshooting and avoiding known pitfalls.Authoritative and cutting-edge, Reverse Engineering of Regulatory Networks aims to be a useful and practical guide to new researchers and experts looking to expand their knowledge.

This book covers the medical condition of diabetic patients, their early symptoms and methods conventionally used for diagnosing and monitoring diabetes. It describes various techniques and technologies used for diabetes detection. The content is built upon moving from regressive technology (invasive) and adapting new-age pain-free technologies (non-invasive), machine learning and artificial intelligence for diabetes monitoring and management. This book details all the popular technologies used in the health care and medical fields for diabetic patients. An entire chapter is dedicated to how the future of this field will be shaping up and the challenges remaining to be conquered. Finally, it shows artificial intelligence and predictions, which can be beneficial for the early detection, dose monitoring and surveillance for patients suffering from diabetes

"This volume introduces researchers to the idea of no-boundary thinking (NBT) in biological and biomedical research. Written by a team of specialists, drawing on their own experience, it provides a guide to integrating and synthesizing data and knowledge from bioinformatics to define important problems and articulate impactful research questions"--

This book offers the first comprehensive coverage of microwave medical imaging, with a special focus on the development of novel devices and methods for different applications in both the diagnosis and treatment of various diseases. Upon introducing the fundamentals of electromagnetic imaging, it guides the readers to their use in practice by providing extensive information on the corresponding measurement and testing techniques. In turn, it discusses current challenges in data processing and analysis, presenting effective, novel solutions, developed by different research groups. It also describes state-of-the-art medical devices, which were designed for specific applications, such as brain stroke monitoring, lymph node diagnosis, image-guided hyperthermia, and chemotherapy response monitoring. The chapters, which report on the results of the EU-funded project EMERALD (ElectroMagnetic imaging for a novel genERation of medicAL Devices) are written by leading European engineering groups in electromagnetic medical imaging, whose coordinated action is expected to accelerate the translation of this technology ¿from research bench to patient bedside¿. All in all, this book offers an authoritative guide to microwave imaging, with a special focus on medical imaging, for electrical and biomedical engineers, and applied physicists and mathematicians. It is also intended to inform medical doctors and imaging technicians on the state-of-the-art in non-invasive imaging technologies, at the purpose of inspiring and fostering the translation of research into clinical prototypes, by promoting a stronger collaboration between academic institutions, industrial partners, hospitals, and university medical centers.