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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.
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...
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...
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...
Volume 1: Strategies for Therapeutic Cancer Vaccine Development deals with different strategies of cancer vaccine development, focusing on techniques for the development of therapeutic cancer vaccines and the roles of tumor antigens, proteins/peptides, microbial genes, and stem cells for the development of vaccines for cancer management. Volume 2: Delivery Strategies for Cancer Vaccine and Immunotherapy in Management of Various Carcinomas covers delivery strategies of cancer vaccines for the management of various forms of carcinoma, examining the prospects of delivering immuno-oncology therapies, focusing specifically on the effective drug delivery strategies for treatment of lung, prostate, and pancreatic carcinomas.
The first book of its kind to show the potential of quantum computing in drug delivery. Drug delivery systems (DDS) are defined as methods by which drugs are delivered to desired tissues, organs, cells, and subcellular organs for drug release and absorption through a variety of drug carriers. By controlling the precise level and/or location of a given drug in the body, side effects are reduced, doses are lowered, and new therapies are possible. Nevertheless, there are still significant obstacles to delivering certain medications to particular cells. Drug delivery methods change pharmacokinetic, pharmacodynamic, and drug release patterns to enhance product efficacy and safety, as well as pati...
Neurological illnesses pose one of the biggest hazards to the healthcare system today. This new book brings together the latest methods of gene therapy that can be used to treat both inherited and sporadic neurodegenerative diseases. It presents the most significant advances in gene transfer methods as well as the most recent understandings of the mechanisms behind specific neurodegenerative illnesses, placing these into the context of gene therapy approaches for the central nervous system. The book introduces the basics of neurodegenerative conditions and the physiological basis for their occurrence in humans. It also discusses the various proteins useful in neuro diseases and their viral applications. The book explores how stem cells can be used to learn about the future of gene therapy along with the significance of the sequences that silence genes. It discusses the functions of astrocytes in different brain regions, as well as in-vivo research in gene therapy for neurodegenerative disorders.
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.
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.
Blockchain is a type of distributed ledger technology that consists of a growing list of records that are securely linked together using cryptography and numerous applications in every field, including healthcare. Blockchain for Healthcare 4.0: Technology, Challenges, and Applications presents an overview of the recent advances in blockchain technology which have led to new breakthroughs in the healthcare industry, the application of artificial intelligence (AI) with blockchain, challenges, and prospects. Key Features: • Highlights blockchain applications in the biomedical and pharmaceutical industries and remote healthcare. • Discusses applications and advancement in blockchain framewor...