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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
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發(fā)表于 2025-3-23 11:16:12 | 只看該作者
978-3-031-35178-5The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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發(fā)表于 2025-3-23 16:24:46 | 只看該作者
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發(fā)表于 2025-3-23 20:01:41 | 只看該作者
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發(fā)表于 2025-3-24 00:23:45 | 只看該作者
Regel: Konsequenz ist wichtiger als Strengegenetic modifications, in particular DNA methylation, have been shown to correlate with aging and age-related diseases in many aspects. In this review, we refer to various studies according to machine learning methods employed in supervised learning (regression and classification) and unsupervised l
15#
發(fā)表于 2025-3-24 06:26:37 | 只看該作者
8. Regel: Jeder Erfolg hat Spielregelnal symptoms of dementia (BPSD). By reviewing current research, our aim was to understand the effectiveness of such technologies in regulating BPSD symptoms, and at the same time consider the issues arising from the use of assistive technologies in these vulnerable individuals. A systematic analysis
16#
發(fā)表于 2025-3-24 09:26:00 | 只看該作者
https://doi.org/10.1007/978-3-658-04827-3thetical underlying age and the chronological age of an organism—which can be taken as effective healthy aging and public health screening tools. In particular, the spread of artificial intelligence applications in biomedical sciences made a substantial contribution also to the field of biogerontolo
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發(fā)表于 2025-3-24 12:55:57 | 只看該作者
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發(fā)表于 2025-3-24 16:19:59 | 只看該作者
8. Regel: Jeder Erfolg hat Spielregelneady to be tested in clinical trials so the discovery of new geroprotectors is an important problem. Here we propose a novel approach for geroprotector discovery based on machine learning and omics data.
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發(fā)表于 2025-3-24 22:43:44 | 只看該作者
20#
發(fā)表于 2025-3-25 01:15:43 | 只看該作者
Franchisepaket Modul 1: Franchisepartnerg process at many different levels of analysis. Multi-dimensional data obtained in the course of aging-related research are difficult to analyze. However, with the use of artificial intelligence (AI), datasets at the molecular, genetic and biophysical information levels become more insightful and he
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