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Over the past 20 years, the biomedical research community has been delivering hundreds of breakthroughs expected to extend human lifespan beyond thresholds imaginable today. However, much of this research has not yet been adopted into clinical practice, nor has it been widely publicized. Biomedicine will transform our society forever by allowing people to live longer and to continue working and contributing financially to the economy longer, rather than entering into retirement and draining the economy through pensions and senior healthcare. Old age will become a concept of the past, breakthroughs in regenerative medicine will continue, and an unprecedented boom to the global economy, with a...
Over the past 20 years, the biomedical research community has been delivering hundreds of breakthroughs expected to extend human lifespan beyond thresholds imaginable today. However, much of this research has not yet been adopted into clinical practice, nor has it been widely publicized. Biomedicine will transform our society forever by allowing people to live longer and to continue working and contributing financially to the economy longer, rather than entering into retirement and draining the economy through pensions and senior healthcare. Old age will become a concept of the past, breakthroughs in regenerative medicine will continue, and an unprecedented boom to the global economy, with a...
47 leaders from across the biotechnology industry tell their stories of battling the global scourge of COVID-19. Pandemics have killed at least a half billion people over the past two millennia. But in the age of biotechnology, humanity is no longer defenseless. The biotechnology industry is a diverse community of scientists, doctors, patients, entrepreneurs, investors, bankers, analysts and reporters, all committed to treating and curing disease. Over the past forty years, it has produced medical advances at an electrifying rate. As the COVID-19 pandemic emerged, hundreds of companies quickly pivoted to combating the virus. The contributors to this book offer inside views of this seminal industry, with historical and personal perspectives, lessons learned, and looks into the future. Diverse as these leaders are, they are united by their conviction that science and medicine will light humanity’s way to greater health and longevity.
Wall Street Journal, USA Today, and Publishers Weekly bestseller The prospect of living to 200 years old isn’t science fiction anymore. A leader in the emerging field of longevity offers his perspective on what cutting-edge breakthroughs are on the horizon, as well as the practical steps we can take now to live healthily to 100 and beyond. In The Science and Technology of Growing Young, industry investor and insider Sergey Young demystifies the longevity landscape, cutting through the hype and showing readers what they can do now to live better for longer, and offering a look into the exciting possibilities that await us. By viewing aging as a condition that can be cured, we can dramatical...
Dating AI is "a meditation on how to prepare for the unknown," a thought experiment designed to stimulate new ideas about issues that are important now as well as in the future. Fictional descriptions of human-android romances are interspersed with commentary about the varying differences between people and AI (Artificial Intelligence), and methods for breaching the chasm between machine and human experience. Chapters tie speculation into contemporary life, drawing parallels between current human interactions with machines. Section 1, "Are you ready to fall in love with a machine?" explains what you'll need to know to engage romantically with AI (including similarities and differences). Sect...
This book reviews the state-of-the-art efforts to apply machine learning and AI methods for healthy aging and longevity research, diagnosis, and therapy development. The book examines the methods of machine learning and their application in the analysis of big medical data, medical images, the creation of algorithms for assessing biological age, and effectiveness of geroprotective medications. The promises and challenges of using AI to help achieve healthy longevity for the population are manifold. This volume, written by world-leading experts working at the intersection of AI and aging, provides a unique synergy of these two highly prominent fields and aims to create a balanced and comprehensive overview of the application methodology that can help achieve healthy longevity for the population. The book is accessible and valuable for specialists in AI and longevity research, as well as a wide readership, including gerontologists, geriatricians, medical specialists, and students from diverse fields, basic scientists, public and private research entities, and policy makers interested in potential intervention in degenerative aging processes using advanced computational tools.
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Systematically examining current methods and strategies, this ready reference covers a wide range of molecular structures, from organic-chemical drugs to peptides, Proteins and nucleic acids, in line with emerging new drug classes derived from biomacromolecules. A leader in the field and one of the pioneers of this young discipline has assembled here the most prominent experts from across the world to provide first-hand knowledge. While most of their methods and examples come from the area of pharmaceutical discovery and development, the approaches are equally applicable for chemical probes and diagnostics, pesticides, and any other molecule designed to interact with a biological system. Num...
This book provides a structured and analytical guide to the use of artificial intelligence in medicine. Covering all areas within medicine, the chapters give a systemic review of the history, scientific foundations, present advances, potential trends, and future challenges of artificial intelligence within a healthcare setting. Artificial Intelligence in Medicine aims to give readers the required knowledge to apply artificial intelligence to clinical practice. The book is relevant to medical students, specialist doctors, and researchers whose work will be affected by artificial intelligence.
This book focuses on the latest advances in computational de novo drug discovery methods, also known as generative drug discovery. This book describes the state‐of‐the‐art methods and applications for de novo design of drug candidates using generative chemistry models as well as the ethical aspects of this technology. It will provide a foundation for those new to the field as well as those that may already have some experience of its utility. With contributions from scientists in both academia and industry ‘an Introduction to Generative Drug Discovery’ may represent one of the earliest if not the first book to focus on this topic. This book focuses on the latest advances in generative discovery methods. This book will describe different state of the art applications of generative molecule design. The book describes ethical aspects of generative drug discovery technology. The mix of academic and industrial authors provides an array of applications of generative drug discovery. A future perspective of where these generative technologies may take us in drug discovery is described included self-driving labs.