Biomedical engineering

An award-winning professor's introduction to essential concepts of calculus and mathematical modeling for students in the biosciences This is the first of a two-part series exploring essential concepts of calculus in the context of biological systems.

The relationship of the dead body with technology through history, from nineteenth-century embalming machines to the death-prevention technologies of today.

How the meaningless process of natural selection produces purposeful beings who find meaning in the world.

A scientist assesses the potential of stem cell therapies for treating such brain disorders as stroke, Alzheimer''s disease, and Parkinson''s disease.

A critical examination of translational medicine, when private risk is transferred to the public sector and university research teams become tech startups for global investors.

An introduction to the field of applied ontology with examples derived particularly from biomedicine, covering theoretical components, design practices, and practical applications.

An argument against the “lifeboat ethic” of contemporary bioethics that views medicine as a commodity rather than a tradition of care and caring.

This book addresses the needs of new clinical engineers, junior nurses, medics and operating department practitioners (ODPs) with regard to the fundamentals of many of the standard medical devices they will encounter in a hospital environment.

In the final years of the twentieth century, emigres from engineering and computer science devoted themselves to biology and resolved that if the aim of biology is to understand life, then making life would yield better theories than experimentation.

Thirty years ago, the most likely place to find a biologist was standing at a laboratory bench, peering down a microscope, surrounded by flasks of chemicals and petri dishes full of bacteria.

Biomedical and Clinical Cryogenics: Theory, Current Technology Advances, and Future Perspectives presents the complexity of cryogenic engineering applications in both medical and clinical settings.

As one of the first cortical areas to be explored experimentally, the motor cortex continues to be the focus of intense research.

Achieving good clinical outcomes with implanted biomaterials depends upon achieving optimal function, both mechanical and biological, which in turn depends upon integrating advances realized in biological science, material science, and tissue engineering.

Recent, rapid advances in mathematical engineering and applied mathematics have opened the door to solving complex problems in angiography imaging.

A volume in the new Principles and Applications in Engineering series, Tissue Engineering provides an overview of the major physiologic systems of current interest to biomedical engineers: cardiovascular, endocrine, nervous, visual, auditory, gastrointestinal, and respiratory.

Biomedical optical imaging is a rapidly emerging research area with widespread fundamental research and clinical applications.

Receptors: Models for Binding, Trafficking, and Signaling bridges the gap between chemical engineering and cell biology by lucidly and practically demonstrating how a mathematical modeling approach combined with quantitative experiments can provide enhanced understanding of cell phenomena involving receptor/ligand interactions.

In daily life, we are accustomed to working with length scales of feet or meters, but the building blocks from which our bodies are constructed are many orders of magnitude smaller.

Pattern Theory: From Representation to Inference provides a comprehensive and accessible overview of the modern challenges in signal, data and pattern analysis in speech recognition, computational linguistics, image analysis and computer vision.

This book gathers 30 papers presented at the 21st PCBBE, which was hosted by the University of Zielona Gora, Poland, and offered a valuable forum for exchanging ideas and presenting the latest developments in all areas of biomedical engineering.

Biomedical optical imaging is a rapidly emerging research area with widespread fundamental research and clinical applications.

Receptors: Models for Binding, Trafficking, and Signaling bridges the gap between chemical engineering and cell biology by lucidly and practically demonstrating how a mathematical modeling approach combined with quantitative experiments can provide enhanced understanding of cell phenomena involving receptor/ligand interactions.

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.

Advanced Rehabilitative Technology: Neural Interfaces and Devices teaches readers how to acquire and process bio-signals using biosensors and acquisition devices, how to identify the human movement intention and decode the brain signal, how to design physiological and musculoskeletal models and establish the neural interfaces, and how to develop neural devices and control them efficiently using biological signals.

Electronic Assistive Technology (EAT) is a subset of a wider range of products and services known as Assistive Technology (AT).

MATLAB Programming for Biomedical Engineers and Scientists provides an easy-to-learn introduction to the fundamentals of computer programming in MATLAB.

Wound Healing Biomaterials: Volume One, Therapies and Regeneration discusses the types of wounds associated with trauma, illness, or surgery that can sometimes be extremely complex and difficult to heal.

Intelligent machines are populating our social, economic and political spaces.

There have been tremendous strides in cellular transplantation in recent years, leading to accepted practice for the treatment of certain diseases, and use for many others in trial phases.

Neural Engineering for Autism Spectrum Disorder, Volume Two: Diagnosis and Clinical Analysis presents the latest advances in neural engineering and biomedical engineering as applied to the clinical diagnosis and treatment of Autism Spectrum Disorder (ASD).

ODE/PDE Analysis of Antibiotic/Antimicrobial Resistance: Programming in R presents mathematical models for antibiotic/antimicrobial resistance based on ordinary and partial differential equations (ODE/PDEs).

Applications of Computational Intelligence in Multi-Disciplinary Research provides the readers with a comprehensive handbook for applying the powerful principles, concepts, and algorithms of computational intelligence to a wide spectrum of research cases.

Deep Learning for Medical Applications with Unique Data informs readers about the most recent deep learning-based medical applications in which only unique data gathered in real cases are used.

Wearable Technology in Medicine and Health Care provides readers with the most current research and information on the clinical and biomedical applications of wearable technology.

3D Bioprinting and Nanotechnology in Tissue Engineering and Regenerative Medicine, Second Edition provides an in-depth introduction to bioprinting and nanotechnology and their industrial applications.

Data Science for COVID-19 presents leading-edge research on data science techniques for the detection, mitigation, treatment and elimination of COVID-19.

Security and Privacy Issues in Internet of Medical Things addresses the security challenges faced by healthcare providers and patients.

Artificial Intelligence and Machine Learning for Predictive and Analytical Rendering in Edge Computing focuses on the role of AI and machine learning as it impacts and works alongside Edge Computing.

Deep Learning in Bioinformatics: Techniques and Applications in Practice introduces the topic in an easy-to-understand way, exploring how it can be utilized for addressing important problems in bioinformatics, including drug discovery, de novo molecular design, sequence analysis, protein structure prediction, gene expression regulation, protein classification, biomedical image processing and diagnosis, biomolecule interaction prediction, and in systems biology.

Multi-Objective Combinatorial Optimization Problems and Solution Methods discusses the results of a recent multi-objective combinatorial optimization achievement that considered metaheuristic, mathematical programming, heuristic, hyper heuristic and hybrid approaches.

Big Data permeates all aspects of modern life, and while there is no shortage of potential benefits resulting from this, author Henrik Skaug Saetra argues that we must also understand the threats Big Data poses to liberty.

In the age of data science, the rapidly increasing amount of data is a major concern in numerous applications of computing operations and data storage.

Storing Digital Binary Data into Cellular DNA demonstrates how current digital information storage systems have short longevity and limited capacity, also pointing out that their production and consumption of data exceeds supply.

Perinatal Stem Cells provides researchers and clinicians with a comprehensive description of the current clinical and pre-clinical applications of stem cells derived from perinatal sources, such as amniotic fluid, placenta and placental membranes, the umbilical cord and Wharton's jelly.

Deep learning, a branch of Artificial Intelligence and machine learning, has led to new approaches to solving problems in a variety of domains including data science, data analytics and biomedical engineering.

Web Semantics strengthen the description of web resources to exploit them better and make them more meaningful for both humans and machines, thereby contributing to the development of a knowledgeintensive data web.

Machine Learning and the Internet of Medical Things in Healthcare discusses the applications and challenges of machine learning for healthcare applications.

Thermal Ablation Therapy: Theory and Simulation includes detailed theoretical and technical concepts of thermal ablation therapy in different body organs.

Neural Engineering for Autism Spectrum Disorder, Volume One: Imaging and Signal Analysis Techniques presents the latest advances in neural engineering and biomedical engineering as applied to the clinical diagnosis and treatment of Autism Spectrum Disorder (ASD).