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Titlebook: Artificial Intelligence for Healthy Longevity; Alexey Moskalev,Ilia Stambler,Alex Zhavoronkov Book 2023 The Editor(s) (if applicable) and

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發(fā)表于 2025-3-21 17:37:36 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Artificial Intelligence for Healthy Longevity
影響因子2023Alexey Moskalev,Ilia Stambler,Alex Zhavoronkov
視頻videohttp://file.papertrans.cn/163/162370/162370.mp4
發(fā)行地址Provides a unique synergy of two prominent fields: Healthy Longevity and Artificial Intelligence.Clarifies machine learning and AI methods for healthy aging and longevity research, diagnosis and thera
學科分類Healthy Ageing and Longevity
圖書封面Titlebook: Artificial Intelligence for Healthy Longevity;  Alexey Moskalev,Ilia Stambler,Alex Zhavoronkov Book 2023 The Editor(s) (if applicable) and
影響因子.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..?.?.?
Pindex Book 2023
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AI for Longevity: Getting Past the Mechanical Turk Model Will Take Good Datageneralization—extrapolation from the high quality curated data. Such data does not generally exist today in biology in general and aging in particular. In order for AI to help advance the field, we must define the system in a formal and quantitative way and build platforms for collecting large, consistent sets of measurements under perturbations.
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https://doi.org/10.1007/978-3-031-35176-1Artificial intelligence; Aging; Longevity; Neural Networks; Health Modelling
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