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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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樓主: 馬用
51#
發(fā)表于 2025-3-30 08:17:16 | 只看該作者
The Utility of Information Theory Based Methods in the Research of Aging and Longevityical methodology over other identification methods, such as the heuristic methods of deep learning and neural networks. It exemplifies the utility of information-theoretical methodology with examples of several original applications: establishing physiologically meaningful thresholds, predicting ris
52#
發(fā)表于 2025-3-30 14:58:54 | 只看該作者
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, con
53#
發(fā)表于 2025-3-30 18:51:49 | 只看該作者
54#
發(fā)表于 2025-3-30 21:35:06 | 只看該作者
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發(fā)表于 2025-3-31 03:46:41 | 只看該作者
56#
發(fā)表于 2025-3-31 07:45:55 | 只看該作者
An Overview of Kernel Methods for Identifying Genetic Association with Health-Related Traitslight the key role of kernel methodology in genetic association studies of multi markers with traits relevant to human health for quality of life improvement. In addition, we introduce the kernel methodology for genetic association studies with health phenotypes, as well as the main models based on
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