Biomedical

In today’s world, the use of technology is growing rapidly, and people need effective solutions for their real-life problems. This book discusses smart applications of associated technologies to develop cohesive and comprehensive solutions for the...

The text discusses synthesis, processing, design, simulation and characterization of biomaterials for biomedical applications. It synergizes exploration related to various properties and functionalities in the biomedical field through extensive...

Authored by a leading voice in the field, Machine Learning for Healthcare provides a gateway to revolutionize the understanding of medicine and patient care. The book unlocks the secrets of clinical data, harnessing the power of machine learning to...

This book is based on presentations given at the 2nd IEEE United Kingdom Circuits and Systems (UKCAS 2019) Workshop. It covers several advanced topics in the areas of semiconductor devices, circuits and systems, and energy harvesting; discussing their...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781786309464Author Jérôme MolimardFormat HardbackPage Count 224Imprint ISTE Ltd and John Wiley & Sons IncPublisher ISTE Ltd and John Wiley & Sons Inc

Bioelectronics is emerging as a new area of research where electronics can selectively detect, record, and monitor physiological signals. This is a rapidly expanding area of medical research, that relies heavily on multidisciplinary technology...

Imaging of tissue blood flow (BF) distributions provides vital information for the diagnosis and therapeutic monitoring of various vascular diseases. The innovative near-infrared speckle contrast diffuse correlation tomography (scDCT) technique produces...

Microfluidic biochips have gained prominence due to their versatile applications to biochemistry and health-care domains such as point-of-care clinical diagnosis of tropical and cardiovascular diseases, cancer, diabetes, toxicity analysis, and for the...

This book is a detailed reference on biomedical applications using Deep Learning. Because Deep Learning is an important actor shaping the future of Artificial Intelligence, its specific and innovative solutions for both medical and biomedical are very...

Are Amazon Alexa and Google Home limited to our bedrooms, or can they be used in hospitals? Do you envision a future where physicians work hand-in-hand with voice AI to revolutionize healthcare delivery? In the near future, clinical smart assistants will...

This text emphasizes the importance of artificial intelligence techniques in the field of biological computation. It also discusses fundamental principles that can be applied beyond bio-inspired computing.It comprehensively covers important topics...

Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications introduces and explores a variety of schemes designed to empower, enhance, and represent multi-institutional and multi-disciplinary machine learning (ML) and deep...

Classical computers encode information in binary bits that can either be 0s or 1s. In a quantum computer, the basic unit of memory is a quantum bit or qubit. These qubits play a similar role in terms of storing information, but use physical systems, such...

This book provides concepts and experimental demonstrations for various types of molecular layer deposition (MLD) and organic multiple quantum dots (organic MQDs), which are typical tailored organic thin-film materials. Possible applications of MLD to...

This book provides an understanding of ultrasound imaging principles and how the field is evolving to better probe living systems. Today, widely-used imaging systems visualize structures and blood flow within the body in real-time. Signal analysis,...

Despite their many common features (mechanical behavior, multi-scale structure, evolutionary and living characteristics, etc.), the tissues that make up the human body each have specific characteristics linked to their function, which require the...

This book serves as source of introductory material and reference for medical application development and related technologies by providing the detail implementation of the cutting-edge deep learning methodologies. It targets the cloud based advanced...

In this book, we embark on a journey into the realm of predictive data modeling for biomedical data and imaging in healthcare. It explores the potential of predictive analytics in the field of medical science through utilizing various tools and...

This comprehensive resource explains the FDA's classification of devices and provides expert guidance on differentiating between significant risk and non-significant risk medical device studies. The book is divided into two parts: Significant Risk...