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3D Bioprinting from Lab to Industry
A complete overview of bioprinting, from fundamentals and essential topics to recent advances and future applications Additive manufacturing, also known as 3D printing, is one of the most transformative technological processes to emerge in recent decades. Its layer-by-layer construction method can create objects to remarkably precise specifications with minimal waste or energy consumption. Bioprinting, a related process that employs cells and biomaterials instead of man-made substances or industrial materials, has a range of biomedical and chemical uses that make it an exciting and fast-growing area of research. 3D Bioprinting from Lab to Industry offers a cutting-edge overview of this topic...
Regenerative Medicine
This book focuses on the recent innovations and therapeutic potentials of regenerative medicine and discusses the applications of stem cells, biomaterials, and tissue engineering in regenerative medicine. The book covers essential aspects of regenerative medicine, including tissue microenvironment, immunological perspectives, stem, and non-stem cell-mediated approaches, imaging techniques, biomarkers, and 3D printing technology. It also reviews the applications of biosensing technologies in regenerative medicine, including biomanufacturing, organ-on-a-chip technologies, and as indicators of therapeutic efficacy. Further, it focuses on the regenerative medicine approaches for diseases of the central nervous system. It also provides the therapeutic potential of regenerative medicine to improve soft tissue and wound healing, cardiovascular, neural, bone, and orofacial regeneration.
Computational Intelligence in Pattern Recognition
This book features high-quality research papers presented at the 3rd International Conference on Computational Intelligence in Pattern Recognition (CIPR 2021), held at the Institute of Engineering and Management, Kolkata, West Bengal, India, on 24 – 25 April 2021. It includes practical development experiences in various areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.
Interaction of Nanomaterials With Living Cells
This book examines the interactions of nanomaterials with the biological system. The chapters of the book explore the natural and synthetic biomaterials that modulate immune responses for their applications in drug delivery and tissue engineering. Further, the book discusses the implications of the physiochemical properties of nanoparticles and their microenvironment on their interactions with biological systems. The chapters also present the recognitive capabilities of biomaterials for the development of novel strategies for the detection and treatment of autoimmune disorders. The book also introduces nanotechnology platforms for drug delivery and highlights current and emerging nanotechnol...
Traditional Medicines in Drug Discovery and Development
This comprehensive book, comprising 20 chapters contributed by respected academics in their respective fields, highlights the immense contribution of traditional medicine to the discovery and development of modern drugs. Each chapter provides in-depth details, stimulating experts to further explore the flora used in traditional medicines and inspiring younger investigators to delve into the mysterious world of secondary metabolites in their quest for novel molecules. This book is of immense value to scientists, academicians, researchers, and students alike, making it a valuable addition to personal collections and libraries.
Advanced Machine Learning Approaches in Cancer Prognosis
This book introduces a variety of advanced machine learning approaches covering the areas of neural networks, fuzzy logic, and hybrid intelligent systems for the determination and diagnosis of cancer. Moreover, the tactical solutions of machine learning have proved its vast range of significance and, provided novel solutions in the medical field for the diagnosis of disease. This book also explores the distinct deep learning approaches that are capable of yielding more accurate outcomes for the diagnosis of cancer. In addition to providing an overview of the emerging machine and deep learning approaches, it also enlightens an insight on how to evaluate the efficiency and appropriateness of such techniques and analysis of cancer data used in the cancer diagnosis. Therefore, this book focuses on the recent advancements in the machine learning and deep learning approaches used in the diagnosis of different types of cancer along with their research challenges and future directions for the targeted audience including scientists, experts, Ph.D. students, postdocs, and anyone interested in the subjects discussed.
Biomaterials Science and Implants
Biomaterials as a research theme is highly socially relevant with impactful applications in human healthcare. In this context, this book provides a state-of-the-art perspective on biomaterials research in India and globally. It presents a sketch of the Indian landscape against the backdrop of the international developments in biomaterials research. Furthermore, this book presents highlights from major global institutes of importance, and challenges and recommendations for bringing inventions from the bench to the bedside. It also presents valuable information to those interested in existing issues pertaining to developing the biomaterials research ecosystem in developing countries. The contents also serve to inspire and educate young researchers and students to take up research challenges in the areas of biomaterials, biomedical implants, and regenerative medicine. With key recommendations for developing frontier research and policy, it also speaks to science administrators, policymakers, industry experts, and entrepreneurs on helping shape the future of biomaterials research and development.
Applications of Nanotechnology in Biomedical Engineering
This book presents recent advancements in nanotechnology-based innovations in the biomedical sciences and engineering fields, including nanoimaging, nano-delivery of drugs and genes, antimicrobial and antiviral coatings, nano-neutraceuticals, and nano-cosmetics. It covers a wide range of topics, which include nanosensors, nano-based coatings, and wound healing, as well as scope for new research and development. It is a guide to the state-of-the-art nanotechnological advancements in medical image processing and disease detection. Features are as follows: Covers industry-oriented applications of nanomaterials in the field of biomedical engineering Discusses development of nature-inspired nano-engineered nutraceuticals Reviews research on nano-coating to restrict biofilm formation and nosocomial infections Includes different aspects of both medical sciences and health sciences, ranging from medical imaging to cosmetics Explores micro-/nano-SMART devices for biomedical applications This book is aimed at researchers and graduate students in biomedical engineering, nanotechnology, and related areas.
