The Handbook of Computational Neurodegeneration provides a comprehensive overview of the field and thus bridges the gap between standard textbooks of research on neurodegeneration and dispersed publications for specialists that have a narrowed focus on computational methods to study this complicated process. The handbook reviews the central issues and methodological approaches related to the field for which the reader pursues a thorough overview. It also conveys more advanced knowledge, thus serving both as an introductory text and as a starting point for an in-depth study of a specific area, as well as a quick reference source for the expert by reflecting the state of the art and future prospects. The book includes topics that are usually missing in standard textbooks and that are only marginally represented in the specific literature. The broad scope of this handbook is reflected by five major parts that facilitate an integration of computational concepts, methods and applications in the study of neurodegeneration. Each part is intended to stand on its own, giving an overview of the topic and the most important problems and approaches, which are supported by examples, practical applications, and proposed methodologies. The basic concepts and knowledge, standard procedures and methods are presented, as well as recent advances and new perspectives.

Smart Diagnostics for Neurodegenerative Disorders: Neuro-sensors explores all available biosensor-based approaches and technologies as well as their use in the diagnosis, prognosis and therapeutic management of a variety of neurological disorders such as Alzheimer's, Parkinson's and epileptic disorders. The book also discusses contemporary and revolutionary biosensor platforms that are being used to produce a quantitative quick lab-on-a-chip point-of-care (POC) assay for several types of predictive and diagnostic biomarkers linked with neurodegenerative disorders. It offers a combinatorial strategy for learning recent advances and designing new biosensor-based technologies in the fields of medical science, engineering and biomedical technology. Early detection of neurological conditions has the potential to treat the disease and extend the life expectancy of patients. Recent improvements in biosensor-based approaches that target specific cell surface biomarkers can be used for early detection of neurodegenerative disease. - Provides an in-depth understanding of biomarkers associated with neurodegenerative disease to build and create a variety of biosensors - Presents biosensor-based strategies to create and construct enhanced platforms for quick diagnosis of biomarkers linked to a variety of neurological illnesses - Discusses the current challenges and future trends in developing diagnostic devices for early detection of neurodegenerative disorders, presenting new avenues for more sensitive and selective point-of-care devices

The Handbook of Computational Neurodegeneration provides a comprehensive overview of the field and thus bridges the gap between standard textbooks of research on neurodegeneration and dispersed publications for specialists that have a narrowed focus on computational methods to study this complicated process. The handbook reviews the central issues and methodological approaches related to the field for which the reader pursues a thorough overview. It also conveys more advanced knowledge, thus serving both as an introductory text and as a starting point for an in-depth study of a specific area, as well as a quick reference source for the expert by reflecting the state of the art and future prospects. The book includes topics that are usually missing in standard textbooks and that are only marginally represented in the specific literature. The broad scope of this handbook is reflected by five major parts that facilitate an integration of computational concepts, methods and applications in the study of neurodegeneration. Each part is intended to stand on its own, giving an overview of the topic and the most important problems and approaches, which are supported by examples, practical applications, and proposed methodologies. The basic concepts and knowledge, standard procedures and methods are presented, as well as recent advances and new perspectives. .

The field of nanotechnology for targeted therapy initiated more than decade ago has grown fast and interest is increasing. Given the importance of the field for targeted drug and gene delivery systems, there are a large number of laboratory investigations today researching nanobiomaterials for diagnostic and therapeutic applications. Because of the ability of scientists to load nanoparticles with any agent, interest continues to grow and technology in this arena is rapidly evolving. These emerging nanobiomaterials-based medicines can overcome the disadvantages of traditional medicines by target-oriented and site-specific delivery of precise medicines (immunotherapeutic agents, chemotherapeutic agents, diagnostic agents, and so on). Pharmaceutical Nanobiotechnology for Targeted Therapy presents an updated overview of recent advancements in the field of pharmaceutical nanobiotechnology and nano-based drug and gene delivery systems. This comprehensive knowledge will allow researchers to discover innovative nanobiomaterials for targeted therapeutics. The chapters deal with various emerging nanobiomaterials for targeted therapeutic delivery systems and the writing is in a style that is easily disseminated and in a manner that can be readily adopted as sources for new and further studies. This book should be useful for researchers and professionals from academia and industry working in the field of nanotechnology, nanobiotechnology, as well as in the field of pharmaceutical nanotechnology. It should also be useful to those interested in a range of disciplines from material science, chemistry, molecular biology, polymer chemistry, and many more interdisciplinary areas.

Nanotechnology in Therapeutics Comprehensive reference delivering a framework to develop and assess nanosystems that provide unique advantages in biomedical applications Nanotechnology in Therapeutics explores the idea that by studying in depth the behavior of living organisms, especially the functionality of their cell membranes, we can develop and evaluate innovative bio-inspired nanosystems that are able to deliver small molecules, biomolecules like proteins, peptides, and other genetic material in terms of the production of new therapies and vaccines. The main concept promoted in this book is an integrated approach for producing new medicines following the nanotoxicity, biotoxicity, regulatory, and ethical guidelines, which are also covered in the book. The book is divided into three parts. Part A provides an introduction and a historical overview of nanotechnology. Part B delves deeper into issues relating to lipid and polymeric nanostructures in medicine. Part C presents the regulatory landscape around nanotechnology and nanomedicine, while highlighting the need to keep an eye on emerging technologies such as artificial intelligence and machine learning. Overall, this book opens up biomedical applications for previously challenging drugs and drug targets. Written by a highly qualified professor with significant pertinent research experience, Nanotechnology in Therapeutics includes discussion on: Eukaryotic cell membranes, their structural properties, and the thermodynamic payload of their lipid bilayers The DLVO (Derjaguin, Landau, Verwey and Overbeek) theory as a scientific tool for studying the stability and the behavior of nanoparticles Liposomes, lipid nanoparticles, and solid lipid nanoparticles, as well as polymeric nanoparticles, like micelles, polymersomes, and dendrimers Issues in the approval process of nanomedicines by the regulatory agencies, such as complexity, chaos, and nonlinear dynamics With comprehensive coverage of novel concepts that have the potential to transform how new medicines are designed and developed, Nanotechnology in Therapeutics is an essential resource on the subject for chemists in industry, as well as biomedical and pharmaceutical engineers.