Artificial Intelligence for Healthy Longevity
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 creat...
保存先:
| 団体著者: | |
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| その他の著者: | , , |
| フォーマット: | 電子媒体 eBook |
| 言語: | 英語 |
| 出版事項: |
Cham :
Springer International Publishing : Imprint: Springer,
2023.
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| 版: | 1st ed. 2023. |
| シリーズ: | Healthy Ageing and Longevity,
19 |
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1007/978-3-031-35176-1 |
| タグ: |
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目次:
- AI in longevity
- Automated reporting of medical diagnostic imaging for early disease and aging biomarkers detection
- Risk forecasting tools based on the collected information for two types of occupational diseases
- Obtaining longevity footprints in DNA methylation data using different machine learning approaches
- The role of assistive technology in regulating the behavioural and psychological symptoms of dementia
- Epidemiology, genetics and epigenetics of Biological Aging: one or more aging systems?
- Temporal relation prediction from Electronic Health Records using Graph Neural Networks and Transformers Embeddings
- In silico screening of life-extending drugs using machine learning and omics data
- An overview of kernel methods for identifying genetic association with health-related traits
- Artificial Intelligence approaches for skin anti-aging and skin resilience research
- AI in genomics and epigenomics
- The utility of information theory based methods in the research of agingand longevity
- AI for Longevity: getting past the Mechanical Turk model will take Good Data
- 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. .