Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models focuses on the relationship between three different multidisciplinary branches of engineering: Biomedical Engineering, Cognitive Science and Computer Science through Artificial Intelligence models. These models will be used to study how the nervous system and musculoskeletal system obey movement orders from the brain, as well as the mental processes of the information during cognition when injuries and neurologic diseases are present in the human body.
The interaction between these three areas are studied in this book with the objective of obtaining AI models on injuries and neurologic diseases of the human body, studying diseases of the brain, spine and the nerves that connect them with the musculoskeletal system. There are more than 600 diseases of the nervous system, including brain tumors, epilepsy, Parkinson's disease, stroke, and many others. These diseases affect the human cognitive system that sends orders from the central nervous system (CNS) through the peripheral nervous systems (PNS) to do tasks using the musculoskeletal system. These actions can be detected by many Bioinstruments (Biomedical Instruments) and cognitive device data, allowing us to apply AI using Machine Learning-Deep Learning-Cognitive Computing models through algorithms to analyze, detect, classify, and forecast the process of various illnesses, diseases, and injuries of the human body.
Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models provides readers with the study of injuries, illness, and neurological diseases of the human body through Artificial Intelligence using Machine Learning (ML), Deep Learning (DL) and Cognitive Computing (CC) models based on algorithms developed with MATLAB(R) and IBM Watson(R).
Автор: Kalet Ira J. Название: Principles of Biomedical Informatics, 2 ed ISBN: 0124160190 ISBN-13(EAN): 9780124160194 Издательство: Elsevier Science Рейтинг: Цена: 12462.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Provides a treatment of the deep computational ideas at the foundation of the field. This book includes exercises at the end of each chapter, ideas for student projects, and a number of new topics, such as: tree structured data, interval trees, and time-oriented medical data and their use.
Porous silicon is rapidly attracting increasing interest from various fields, including optoelectronics, microelectronics, photonics, medicine, chemistry, and biosensing. This nanostructured and biodegradable material has a range of unique properties that make it ideal for many applications. For example, the pores and surface chemistry of the material can be manipulated to change the rate of drug release from hours to months.
Porous Silicon: Biomedical and Sensor Applications, Volume Two is part of the three-book series Porous Silicon: From Formation to Application. It discusses applications of porous silicon in bioengineering and in various sensors, including gas sensors, biosensors, pressure sensors, mechanical sensors, optical sensors, and many other types. It also thoroughly reviews the fabrication, parameters, and applications of devices that use porous silicon.
Drawing upon a vast amount of recently published literature, the book guides readers through practical implementations that span environmental control, chemistry, spectroscopy, gas chromatography, microelectronics, micromachining, microfluidics, medicine, biotechnology, and the car industry. It is divided into three sections that focus on:
Types of sensors that use porous silicon
Auxiliary devices that use porous silicon
Biomedical applications such as drug delivery, tissue engineering, and in vivo imaging
Representing the most recent progress in applications of porous silicon to biomedical and sensory technology, this reference is indispensable for those involved in the research, development, and application of porous silicon in several scientific disciplines. It also serves as a starting point for the interested but unfamiliar reader to gain a thorough understanding of the unusual properties of porous silicon, other porous materials, and possible areas for current and future applications.
Описание: Biomedical Applications of Nanoparticles describes the most interesting and investigated biomedical applications of nanoparticles, emphasizing their therapeutic impact. Progress made in the therapy of severe diseases, such as cancer and difficult infections is strictly correlated to the scientific progress and technological development in the field of materials science. Nanoparticles have numerous therapeutic applications, starting with the design of new drugs, delivery systems, therapeutic materials, and their contribution to the development of preventive strategies. The book highlights the impact of nanoparticles on the therapy of infections, antimicrobial effect and also anti-cancer strategies. . Successful examples are given throughout the book, along with analysis in order to improve future outcomes of novel therapies.
Описание: Silicon Carbide (SiC) is a wide-band-gap semiconductor biocompatible material that has the potential to advance advanced biomedical applications. SiC devices offer higher power densities and lower energy losses, enabling lighter, more compact and higher efficiency products for biocompatible and long-term in vivo applications ranging from heart stent coatings and bone implant scaffolds to neurological implants and sensors. The main problem facing the medical community today is the lack of biocompatible materials that are also capable of electronic operation. Such devices are currently implemented using silicon technology, which either has to be hermetically sealed so it cannot interact with the body or the material is only stable in vivo for short periods of time. . For long term use (permanent implanted devices such as glucose sensors, brain-machine-interface devices, smart bone and organ implants) a more robust material that the body does not recognize and reject as a foreign (i.e., not organic) material is needed. Silicon Carbide has been proven to be just such a material and will open up a whole new host of fields by allowing the development of advanced biomedical devices never before possible for long-term use in vivo. . . This book not only provides the materials and biomedical engineering communities with a seminal reference book on SiC that they can use to further develop the technology, it also provides a technology resource for medical doctors and practitioners who are hungry to identify and implement advanced engineering solutions to their everyday medical problems that currently lack long term, cost effective solutions.
Автор: Coffer, J.L. Название: Semiconducting Silicon Nanowires For Biomedical Applications ISBN: 0128213515 ISBN-13(EAN): 9780128213513 Издательство: Elsevier Science Рейтинг: Цена: 31160.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
In its second, extensively revised second edition, Semiconducting Silicon Nanowires for Biomedical Applications reviews the fabrication, properties, and biomedical applications of this key material.
The book begins by reviewing the basics of growth, characterization, biocompatibility, and surface modification of semiconducting silicon nanowires. Attention then turns to use of these structures for tissue engineering and delivery applications, followed by detection and sensing. Reflecting the evolution of this multidisciplinary subject, several new key topics are highlighted, including our understanding of the cell-nanowire interface, latest advances in associated morphologies (including silicon nanoneedles and nanotubes for therapeutic delivery), and significantly, the status of silicon nanowire commercialization in biotechnology.
Semiconducting Silicon Nanowires for Biomedical Applications is a comprehensive resource for biomaterials scientists who are focused on biosensors, drug delivery, and the next generation of nano-biotech platforms that require a detailed understanding of the cell-nanowire interface, along with researchers and developers in industry and academia who are concerned with nanoscale biomaterials, in particular electronically-responsive structures.
Polymeric nanomaterials have become increasingly useful for a wide range of applications in therapeutics, tissue engineering and regenerative medicine. This is because their properties, such as stability, size, shape, surface charge, surface chemistry, mechanical strength, porosity, and so on, can be tailored toward the specific functionalities that are required to meet the needs of targeted biomedical application.
Advances In Polymeric Nanomaterials For Biomedical Applications examines advanced polymer synthetic strategies for developing novel biomaterials for use in medicine. With a strong focus on fundamentals and structure, the authors also explore their fabrication, as well as current and potential biomedical applications.
The book begins with a look at the fundamentals of polymeric nanomaterials and their properties. The text goes on to discuss the design of biomaterials and their applications in drug delivery. Further chapters explore other important applications such as imaging and regenerative medicine, including current challenges and future trends.
This valuable resource is especially useful for materials and polymer scientists, and bioengineers wishing to broaden their knowledge of polymeric nanobiomaterials.
Covers the complete spectrum of polymer nanomaterials used in biomedical applications
Includes various applications such as drug delivery, gene delivery, bio-imaging, tissue engineering and regenerative medicine, anti-microbial agents and neuroscience together for the first time in this area
Explores fundamental correlations between structures, properties and applications as well as synthetic strategies for polymer nanomaterials
Автор: Niklaus Baltzer Название: Precious Metals for Biomedical Applications, ISBN: 0857094343 ISBN-13(EAN): 9780857094346 Издательство: Elsevier Science Рейтинг: Цена: 25096.00 р. Наличие на складе: Поставка под заказ.
Описание: Precious metals and semi-precious metals have been used in medicine for many years. The properties of these metals and their alloys makes them suitable for an increasing number of medical applications. This book provides readers with a useful review of this group of materials` unique properties and applications.
Автор: Inthavong, K., Singh, N., Wong, E., Tu, J. Название: Clinical and Biomedical Engineering in the Human Nose ISBN: 9811567158 ISBN-13(EAN): 9789811567155 Издательство: Springer Рейтинг: Цена: 25155.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explores computational fluid dynamics in the context of the human nose, allowing readers to gain a better understanding of its anatomy and physiology and integrates recent advances in clinical rhinology, otolaryngology and respiratory physiology research.
Автор: Micou Название: A Laboratory Course in Tissue Engineering ISBN: 1439878935 ISBN-13(EAN): 9781439878934 Издательство: Taylor&Francis Рейтинг: Цена: 11176.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Filling the need for a lab textbook in this rapidly growing field, A Laboratory Course in Tissue Engineering helps students develop hands-on experience. The book contains fifteen standalone experiments based on both classic tissue-engineering approaches and recent advances in the field. Experiments encompass a set of widely applicable techniques: cell culture, microscopy, histology, immunohistochemistry, mechanical testing, soft lithography, and common biochemical assays. In addition to teaching these specific techniques, the experiments emphasize engineering analysis, mathematical modeling, and statistical experimental design.
A Solid Foundation in Tissue Engineering--and Communication Skills
Each experiment includes background information, learning objectives, an overview, safety notes, a list of materials, recipes, methods, pre- and postlab questions, and references. Emphasizing the importance for engineering students to develop strong communication skills, each experiment also contains a data analysis and reporting section that supplies a framework for succinctly documenting key results. A separate chapter provides guidelines for reporting results in the form of a technical report, journal article, extended abstract, abstract, or technical poster.
Customize Your Courses with More Than a Semester's Worth of Experiments
The book is a convenient source of instructional material appropriate for undergraduate or graduate students with fundamental knowledge of engineering and cell biology. All of the experiments have been extensively tested to improve the likelihood of successful data collection. In addition, to minimize lab costs, the experiments make extensive use of equipment commonly found in laboratories equipped for tissue culture. A solutions manual, available with qualifying course adoption, includes answers to pre- and postlab questions, suggested equipment suppliers and product numbers, and other resources to help plan a new tissue engineering course.
Автор: Balas, Valentina Emilia Название: Handbook Of Deep Learning In Biomedical Engineering ISBN: 0128230142 ISBN-13(EAN): 9780128230145 Издательство: Elsevier Science Рейтинг: Цена: 22401.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Deep learning (DL) is a method of machine learning, running over artificial neural networks, that uses multiple layers to extract high-level features from large amounts of raw data. DL methods apply levels of learning to transform input data into more abstract and composite information. Handbook for Deep Learning in Biomedical Engineering: Techniques and Applications gives readers a complete overview of the essential concepts of DL and its applications in the field of biomedical engineering. DL has been rapidly developed in recent years, in terms of both methodological constructs and practical applications. DL provides computational models of multiple processing layers to learn and represent data with higher levels of abstraction. It is able to implicitly capture intricate structures of large-scale data and is ideally suited to many of the hardware architectures that are currently available. The ever-expanding amount of data that can be gathered through biomedical and clinical information sensing devices necessitates the development of machine learning and artificial intelligence techniques such as DL and convolutional neural networks to process and evaluate the data. Some examples of biomedical and clinical sensing devices that use DL include computed tomography (CT), magnetic resonance imaging (MRI), ultrasound, single photon emission computed tomography (SPECT), positron emission tomography (PET), magnetic particle imaging, electroencephalography/magnetoencephalography (EE/MEG), optical microscopy and tomography, photoacoustic tomography, electron tomography, and atomic force microscopy. Handbook for Deep Learning in Biomedical Engineering: Techniques and Applications provides the most complete coverage of DL applications in biomedical engineering available, including detailed real-world applications in areas such as computational neuroscience, neuroimaging, data fusion, medical image processing, neurological disorder diagnosis for diseases such as Alzheimer's, attention deficit hyperactivity disorder (ADHD), and autism spectrum disorder (ASD), tumor prediction, and translational multimodal imaging analysis.
Автор: Richard Mayne, Jaap den Toonder Название: Atlas of Cilia Bioengineering and Biocomputing ISBN: 8770220026 ISBN-13(EAN): 9788770220026 Издательство: Taylor&Francis Рейтинг: Цена: 14086.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Cilia are microscopic finger-like cell-surface organelles possessed by a great many eukaryotic organisms, including humans, whose purposes include generating local fluid movements via rhythmic whip-like beating and environmental sensing. Despite intense research efforts since their discovery by van Leeuwenhoek in the 1670’s, several key questions regarding ciliary functions, experimental manipulation and in silico imitation remain unanswered. Major justifications for cilia research lie in their involvement in various forms of human disease (ciliopathies) and their ability to instantiate decentralised, asynchronous sensorial-actuation of adjacent matter through modulation of beating characteristics. Further elucidation of these characteristics, which is a problem requiring the combined expertise of mathematicians, computer scientists, engineers and life scientists, will lead to novel biomedical therapies, creation of `smart’ actuating surfaces for microfluidics/lab-on-chip applications and a greater understanding of fluid mechanics in real-world scenarios.This lavishly-illustrated anthology presents recent advances in the fields of ciliary investigation, manipulation, emulation, mimesis and modelling from key researchers in their fields: its goal is to explain the state-of-the-art in cilia bioengineering and bio-computation in a uniquely creative, accessible manner, towards encouraging further transdisciplinary work in the field as well as educating a broad spectrum of scientists and lay people.The volume is split into three distinct but interwoven themes:1. Biology: Biological preliminaries for the study of cilia; the state-of-the-art in genetic engineering of ciliated cells for biomedical purposes; reprogramming of cilia dynamics in live cells.2. Engineering: Creation of macro cilia robots for object sorting applications; pneumatic cilia for the optimization of fluid motion; electrostatic, magnetic and MEMS cilia for microfluidic mixing; reviews in artificial cilia fabrication, actuation and flow induction methods.3. Numerical and computational modelling. Analyses of thin film cilia for `lab on chip’ microfluidic mixing applications; modelling of gel-based artificial cilia towards simulating dynamic behaviors of responsive cilia layers in complex fluids across a wide range of potential applications.
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