This book’s focus is on Alzheimer’s, the many additional diseases that cause dementia and the reasons for the lack of drugs to treat these neurological dysfunctions. Suggested changes to the USA’s Food and Drug Administration (FDA) protocols are offered in order to accelerate the drug development pipeline and reduce the huge costs required to conduct human clinical trials. The importance of the brain renin-angiotensin system is described and possible new directions in drug development are discussed, along with the changing role of academic researchers in identifying and developing new treatment strategies. The book was written for those families touched by Alzheimer’s and other dementias, academic scientists interested in neurodegenerative diseases, and would-be entrepreneurs considering beginning a start-up company.

Provides a definitive overview of the complex ecosystem facilitating Alzheimer's Disease drug research and development. Demonstrates a drug's journey from in the lab, clinical trial testing, regulatory review, and marketing by pharmaceutical companies. Details the use of artificial intelligence, clinical trial management, and financing models.

This prestigious volume presents the findings of an international group of academic and biotechnological researchers. Topics range from early detection programs focusing on genetic factors, novel probes for detecting B-amyloid in the living brain, and the use of telephonic screening and MRI's to the diversity of therapeutic areas such as antioxidants, estrogen agonists and various anti-B-amyloid and anti-tangle approaches. The volume is still an indispensable resource for the psychogeriatrician, psychiatrist, clinical investigator, and neurobiologist, and a must for medical libraries.

Developing Therapeutics for Alzheimer's Disease: Progress and Challenges provides a thorough overview of the latest advances toward the development of therapeutics for Alzheimer's disease, along with the major hurdles that still must be overcome and potential solutions to these problems. Despite the lack of progress toward developing therapeutics that can slow or stop the progression of this disease, important discoveries have been made and many promising approaches are advancing in preclinical studies and clinical trials. This book outlines the special challenges related to specific targets and approaches, while presenting a realistic, comprehensive and balanced view of drug discovery and development in this area. Written by international leaders in the field, the book assesses prospects for the emergence of effective agents and allows readers to better understand the challenges, failures, and future potential for research in Alzheimer's disease. This book is a valuable resource to academic scientists carrying out translational research in Alzheimer's disease, industrial scientists engaged in Alzheimer's drug discovery, executives in biopharmaceutical companies making strategic decisions regarding the direction of internal research and potential outside partnerships, and graduate-level students pursuing courses on Alzheimer's therapeutics. - Provides a realistic but promising assessment of the potential of various therapeutic approaches to Alzheimer's disease - Focuses primarily on neuroprotective agents and cognitive enhancers, as well as approaches to targeting the amyloid B-peptide, tau and Apolipoprotein E - Discusses alternative approaches, preclinical and clinical development issues, related biomarkers and diagnostics, and prevention and nonpharmacological approaches

Translational Medicine in CNS Drug Development, Volume 29, is the first book of its kind to offer a comprehensive overview of the latest developments in translational medicine and biomarker techniques. With extensive coverage on all aspects of biomarkers and personalized medicine, and numerous chapters devoted to the best strategies for developing drugs that target specific disorders, this book presents an essential reference for researchers in neuroscience and pharmacology who need the most up-to-date techniques for the successful development of drugs to treat central nervous system disorders. Despite increases in the number of individuals suffering from CNS-related disorders, the development and approval of drugs for their treatment have been hampered by inefficiencies in advancing compounds from preclinical discovery to the clinic. However, in the past decades, game-changing strides have been made in our understanding of the pathophysiology of CNS disorders and the relationship of drug exposure in plasma and CNS to pharmacodynamic measures in both animals and humans. - Includes comprehensive coverage of biomarker tools and the role of personalized medicine in CNS drug development - Discusses strategies for drug development for a full range of CNS indications, with particular attention to neuropsychiatric and neurocognitive disorders - Includes chapters written by international experts from industry and academia

The book is a comprehensive guide that explores the use of artificial intelligence and machine learning in drug discovery and development covering a range of topics, including the use of molecular modeling, docking, identifying targets, selecting compounds, and optimizing drugs. The intersection of Artificial Intelligence (AI) and Machine Learning (ML) within the field of drug design and development represents a pivotal moment in the history of healthcare and pharmaceuticals. The remarkable synergy between cutting-edge technology and the life sciences has ushered in a new era of possibilities, offering unprecedented opportunities, formidable challenges, and a tantalizing glimpse into the future of medicine. AI can be applied to all the key areas of the pharmaceutical industry, such as drug discovery and development, drug repurposing, and improving productivity within a short period. Contemporary methods have shown promising results in facilitating the discovery of drugs to target different diseases. Moreover, AI helps in predicting the efficacy and safety of molecules and gives researchers a much broader chemical pallet for the selection of the best molecules for drug testing and delivery. In this context, drug repurposing is another important topic where AI can have a substantial impact. With the vast amount of clinical and pharmaceutical data available to date, AI algorithms find suitable drugs that can be repurposed for alternative use in medicine. This book is a comprehensive exploration of this dynamic and rapidly evolving field. In an era where precision and efficiency are paramount in drug discovery, AI and ML have emerged as transformative tools, reshaping the way we identify, design, and develop pharmaceuticals. This book is a testament to the profound impact these technologies have had and will continue to have on the pharmaceutical industry, healthcare, and ultimately, patient well-being. The editors of this volume have assembled a distinguished group of experts, researchers, and thought leaders from both the AI, ML, and pharmaceutical domains. Their collective knowledge and insights illuminate the multifaceted landscape of AI and ML in drug design and development, offering a roadmap for navigating its complexities and harnessing its potential. In each section, readers will find a rich tapestry of knowledge, case studies, and expert opinions, providing a 360-degree view of AI and ML’s role in drug design and development. Whether you are a researcher, scientist, industry professional, policymaker, or simply curious about the future of medicine, this book offers 19 state-of-the-art chapters providing valuable insights and a compass to navigate the exciting journey ahead. Audience The book is a valuable resource for a wide range of professionals in the pharmaceutical and allied industries including researchers, scientists, engineers, and laboratory workers in the field of drug discovery and development, who want to learn about the latest techniques in machine learning and AI, as well as information technology professionals who are interested in the application of machine learning and artificial intelligence in drug development.

This book aims to address the major aspects of future drug product development and therapy for older adults, giving practical guidance for the rational product and clinical development and prescribing of drug products to this ever growing segment of the population. With authors coming from key “aging” markets such as Europe, the USA, China and Japan, the book will provide valuable information for students, scientists, regulators, practitioners, and other healthcare professionals from academia, industry and regulatory bodies.

Companion and Complementary Diagnostics: From Biomarker Discovery to Clinical Implementation provides readers with in-depth insights into the individual steps in the development of companion diagnostic assays, from the early biomarker discovery phase straight through to final regulatory approval. Further, the clinical implementation of companion diagnostic testing in the clinic is also discussed. As the development of predictive or selective biomarker assays linked to specific drugs is substantially increasing, this book offers comprehensive information on this quickly-evolving area of biomedicine. It is an essential resource for those in academic institutions, hospitals and pharma, and biotech and diagnostic commercial companies. - Covers all aspects, from biomarker discovery, to development and regulatory approval - Explains the "how to" aspects of companion diagnostics - Incorporates information on the entire process, allowing for easier and deeper understanding of the topic

Biotechnology and Drug Development for Targeting Human Diseases is an insightful compendium on drug development technologies for professionals and students in biotechnology and pharmacology. This book meticulously explores the intersection of biotechnology with drug development, emphasizing its crucial role in creating new therapies for human disease. Central to the book is the innovative use of biotechnology in understanding and treating diseases. It begins with an exploration of multi-omics profiles, shedding light on disease mechanisms and drug development. Subsequent chapters explain in silico methods for drug design, the role of natural products in antimicrobial applications and wound healing, and the use of viruses as carriers in biotechnology. Key features of this reference include a blend of theoretical knowledge and practical insights, detailed analyses of molecular docking in drug discovery, the repurposing of drugs for various diseases, and the emerging field of omics technologies in drug interaction studies. Each chapter is comprehensive, offering current information backed by extensive references, making the book both a foundational and advanced resource. Readership Students and professionals in the fields of biotechnology and pharmacology.