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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.
Epigenetics of Aging and Longevity provides an in-depth analysis of the epigenetic nature of aging and the role of epigenetic factors in mediating the link between early-life experiences and life-course health and aging. Chapters from leading international contributors explore the effect of adverse conditions in early-life that may result in disrupted epigenetic pathways, as well as the potential to correct these disrupted pathways via targeted therapeutic interventions. Intergenerational epigenetic inheritance, epigenetic drug discovery, and the role of epigenetic mechanisms in regulating specific age-associated illnesses—including cancer and cardiovascular, metabolic, and neurodegenerati...
This book collects and reviews, for the first time, a wide range of advances in the area of human aging biomarkers. This accumulated data allows researchers to assess the rate of aging processes in various organs and systems, and to individually monitor the effectiveness of therapies intended to slow aging. In an introductory chapter, the editor defines biomarkers of aging as molecular, cellular and physiological parameters that demonstrate reproducible changes - quantitative or qualitative - with age. The introduction recounts a study which aimed to create a universal model of biological age, whose most predictive parameters were albumin and alkaline phosphatase (indication liver function),...
This open access book is a modern guide for all C++ programmers to learn Threading Building Blocks (TBB). Written by TBB and parallel programming experts, this book reflects their collective decades of experience in developing and teaching parallel programming with TBB, offering their insights in an approachable manner. Throughout the book the authors present numerous examples and best practices to help you become an effective TBB programmer and leverage the power of parallel systems. Pro TBB starts with the basics, explaining parallel algorithms and C++'s built-in standard template library for parallelism. You'll learn the key concepts of managing memory, working with data structures and ho...
This handbook focuses on different aspects of anti-aging and both preventive and regenerative medicine. It includes analysis of the paradigm of ageing and concepts of anti-aging medicine. Standards and technologies are highlighted in over twenty chapters all authored by international experts in regenerative medicine. Topics covered include: • Ageing, aging, and anti-aging: A Decalogue for anti-aging medicine • Lessons from Sicilian centenarians for anti-aging medicine • Molecular biomarkers and genetic aspects of aging • Future of peptides in clinical practice • Mitochondrial approaches in anti-aging medicine and in SARS-CoV2 infection • Tissue-specific autoantibodies in preventi...
This edited volume focuses on the interplay between sleep and circadian rhythms with health, aging and longevity. Sleep is absolutely important for human health and survival, as insufficient sleep is associated with a plethora of conditions, including the poor quality of life, onset of several diseases, and premature death. The sleep–wake cycle is an evolutionary conserved neurobiological phenomenon, and is a prominent manifestation of the biological clocks localised in the suprachiasmatic nucleus (SCN). Understanding bidirectional relationship between sleep and circadian rhythms is of utmost importance and urgency, especially in the context of modern lifestyle where sleep is often out of ...
This edited volume studies gut microbiota peculiarities in elderly, in senescence-related and environmental-related alterations of gut microbiota in chronic diseases. Aging, as a physiological process mediated through several regulatory pathways and transcription factors, is generally speaking associated to a relentless functional decline and increasing risk of chronic diseases. Growing data on gut microbiota quali-quantitative changes in aging gut, and the opportunity to study by advanced NGS and metabolomic technologies, now offers novel horizons to link such changes to disease risks and to theoretically the weapons for gut microbiota intervention as an effective therapeutic tool. Chapters...