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Artificial Intelligence for Healthy Longevity

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Cover of 'Artificial Intelligence for Healthy Longevity'

Table of Contents

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    Book Overview
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    Chapter 1 AI in Longevity
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    Chapter 2 Automated Reporting of Medical Diagnostic Imaging for Early Disease and Aging Biomarkers Detection
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    Chapter 3 Risk Forecasting Tools Based on the Collected Information for Two Types of Occupational Diseases
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    Chapter 4 Obtaining Longevity Footprints in DNA Methylation Data Using Different Machine Learning Approaches
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    Chapter 5 The Role of Assistive Technology in Regulating the Behavioural and Psychological Symptoms of Dementia
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    Chapter 6 Epidemiology, Genetics and Epigenetics of Biological Aging: One or More Aging Systems?
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    Chapter 7 Temporal Relation Prediction from Electronic Health Records Using Graph Neural Networks and Transformers Embeddings
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    Chapter 8 In Silico Screening of Life-Extending Drugs Using Machine Learning and Omics Data
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    Chapter 9 An Overview of Kernel Methods for Identifying Genetic Association with Health-Related Traits
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    Chapter 10 Artificial Intelligence Approaches for Skin Anti-aging and Skin Resilience Research
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    Chapter 11 AI in Genomics and Epigenomics
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    Chapter 12 The Utility of Information Theory Based Methods in the Research of Aging and Longevity
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    Chapter 13 AI for Longevity: Getting Past the Mechanical Turk Model Will Take Good Data
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    Chapter 14 Leveraging Algorithmic and Human Networks to Cure Human Aging: Holistic Understanding of Longevity via Generative Cooperative Networks, Hybrid Bayesian/Neural/Logical AI and Tokenomics-Mediated Crowdsourcing
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Title
Artificial Intelligence for Healthy Longevity
Published by
Springer International Publishing, August 2023
DOI 10.1007/978-3-031-35176-1
ISBNs
978-3-03-135175-4, 978-3-03-135176-1
Editors

Moskalev, Alexey, Stambler, Ilia, Zhavoronkov, Alex

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