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Integration of Biomaterials for Gene Therapy
INTEGRATION OF BIOMATERIALS FOR GENE THERAPY Brings industrial practitioners and researchers together to discuss how the deeper integration of biomaterial platforms could play a significant role in enabling breakthroughs in the application of gene editing for the treatment of human disease. This book comprises research and review articles from leading researchers with multidisciplinary experience. It discusses many broad topics, including nanoparticle-enabled gene therapy, inorganic nanocarrier-based gene delivery, non-viral delivery of nucleic acid, biocompatible hydrogels, silk, and polysaccharides-based gene delivery. Other gene delivery topics discussed include the use of smart and engin...
Bioinformatics Tools and Big Data Analytics for Patient Care
Nowadays, raw biological data can be easily stored as databases in computers but extracting the required information is the real challenge for researchers. For this reason, bioinformatics tools perform a vital role in extracting and analyzing information from databases. Bioinformatics Tools and Big Data Analytics for Patient describes the applications of bioinformatics, data management, and computational techniques in clinical studies and drug discovery for patient care. The book gives details about the recent developments in the fields of artificial intelligence, cloud computing, and data analytics. It highlights the advances in computational techniques used to perform intelligent medical t...
Sustainability in Healthcare
"Sustainability in Healthcare: Advances in mHealth AI and Robotics" explores sustainable methods in the healthcare industry, focusing on rural and community healthcare improvement, the use of robots for sustainability, and the implementation of AI in healthcare. It also explores additive manufacturing, mobile health, biomedical engineering, and telemedicine's role in healthcare sustainability management. The book also discusses the ethical concerns, environmental, social, and economic implications of sustainability in healthcare supply chain management and pandemic management.
Human-Machine Interface
HUMAN-MACHINE INTERFACE The book contains the latest advances in healthcare and presents them in the frame of the Human-Machine Interface (HMI). The Human-Machine Interface (HMI) industry has witnessed the evolution from a simple push button to a modern touch-screen display. HMI is a user interface that allows humans to operate controllers for machines, systems, or instruments. Most medical procedures are improved by HMI systems, from calling an ambulance to ensuring that a patient receives adequate treatment on time. This book describes the scenario of biomedical technologies in the context of the advanced HMI, with a focus on direct brain-computer connection. The book describes several HMI tools and related techniques for analyzing, creating, controlling, and upgrading healthcare delivery systems, and provides details regarding how advancements in technology, particularly HMI, ensure ethical and fair use in patient care. Audience The target audience for this book is medical personnel and policymakers in healthcare and pharmaceutical professionals, as well as engineers and researchers in computer science and artificial intelligence.
Digital Transformation in Healthcare 5.0
"Digital Transformation in Healthcare 5.0: IoT, AI, and Digital Twin" provides a comprehensive overview of the integration of cutting-edge technology with healthcare, from the Fourth Industrial Revolution (4IR) to the introduction of IoT, AI, and Digital Twin technologies. This in-depth discussion of the digital revolution expanding the healthcare industry covers a wide range of topics, including digital disruption in healthcare delivery, the impact of 4IR and Health 4.0, e-health services and applications, virtual reality's impact on accessible healthcare delivery, digital twins and dietary health technologies, big data analytics in healthcare systems, machine learning models for cost-effective healthcare delivery systems, affordable healthcare with machine learning, enhanced biomedical signal processing with machine learning, and data-driven AI for information retrieval of biomedical images.
Brain Tumor and Nanotechnology
Brain Tumors and Nanotechnology explores the complex world of brain tumors and the ground-breaking role that nanotechnology is playing in both detection and treatment. It offers comprehensive and up-to-date strategies in the treatment of brain tumors, with a special emphasis on the revolutionary impact of nanotechnology. It begins with an in-depth analysis of the anatomy of the brain and nervous system, highlighting the constituents of the central nervous system (CNS) such as neurons and glial cells. It also offers a thorough understanding of the intricate structure of the human brain, including the hemispheres, brainstem, diencephalon, and ventricular system. It then reveals the understanding of the complicated nature of brain tumors and the potential for nanotechnology to revolutionize their diagnosis and treatment. Brain Tumors and Nanotechnology will be a longstanding valuable resource for researchers, medical professionals, and students in the field.
Targeted Cancer Therapy in Biomedical Engineering
This book highlights the role of Biomedical Engineering (BME) used in diagnosis (e.g., body scanners) and treatment (radiation therapy and minimal access surgery in order to prevent various diseases). In recent years, an important progress has been made in the expansion of biomedical microdevices which has a major role in diagnosis and therapy of cancer. When fighting cancer, efficacy and speed are of the utmost importance. A recently developed microfluidic chip has enabled a breakthrough in testing the efficacy of specialized cancer drugs. Effective cancer-targeting therapies will require both passive and active targeting strategies and a thorough understanding of physiologic barriers to ta...
Artificial Intelligence for Health 4.0: Challenges and Applications
Healthcare is one of the major success stories of our times. Medical science has improved rapidly, raising life expectancy around the world. However, as longevity increases, healthcare systems face growing demands for their services, rising costs, and a workforce that is struggling to meet the needs of its patients. Healthcare is one of the most critical sectors in the broader landscape of big data because of its fundamental role in a productive, thriving society. Building on automation, artificial intelligence (AI) has the potential to revolutionize healthcare and help address some of the challenges set out above. The application of AI to healthcare data can literally be a matter of life an...
Deep Learning for Targeted Treatments
DEEP LEARNING FOR TREATMENTS The book provides the direction for future research in deep learning in terms of its role in targeted treatment, biological systems, site-specific drug delivery, risk assessment in therapy, etc. Deep Learning for Targeted Treatments describes the importance of the deep learning framework for patient care, disease imaging/detection, and health management. Since deep learning can and does play a major role in a patient’s healthcare management by controlling drug delivery to targeted tissues or organs, the main focus of the book is to leverage the various prospects of the DL framework for targeted therapy of various diseases. In terms of its industrial significance, this general-purpose automatic learning procedure is being widely implemented in pharmaceutical healthcare. Audience The book will be immensely interesting and useful to researchers and those working in the areas of clinical research, disease management, pharmaceuticals, R&D formulation, deep learning analytics, remote healthcare management, healthcare analytics, and deep learning in the healthcare industry.
Pharmaceutical industry 4.0: Future, Challenges & Application
The pharmaceutical industry is on the cusp of a new age, with the need for personalized therapy, more complex production processes, smaller batch sizes and rising manufacturing costs. It is necessary to continuously adapt to the rapidly changing environment using novel technology and improved operational efficiency and flexibility. To achieve this, intelligent manufacturing seems to be a definite answer. Pharma 4.0 is a framework for adapting digital strategies to the unique contexts of pharmaceutical manufacturing. This book provides a deep insight into key technologies that will modernize pharmaceutical manufacturing and facilitate digital transformation. Throughout the book we discuss technologies, application and challenges for applying digital technology in pharmaceutical industry, including: • Focus on an overview of Industry 4.0 and its application in the pharmaceutical field • Most recent advances in the pharmaceutical industry • Understanding the concepts of emerging technology trends for drug discovery.
