AI Technology for Anti-Aging: an Overview

Aiquan Huang, Yingyu Huo, Yong Zhong, Wenyin Yang
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Abstract

With the accelerated aging of the global population, the research of anti-aging technology and its application has gradually become one of the hot issues in the biomedical field. In recent years, Artificial Intelligence technologies represented by machine learning, deep learning and cognitive computing, have provided unprecedented methods and tools for biomedical research, and brought breakthroughs to anti-aging, a comprehensive and cutting-edge research topic. This paper first discusses the current problems and challenges that need to be solved in the application of AI technology in anti-aging; then summarizes the current status of AI data research on basic anti-aging applications, analyzes and discusses the research and progress of AI technology in the frontier application areas such as 3D reconstruction of aging structures, aging biomarkers and anti-aging drug development; and finally provides an outlook on the future development trends.
人工智能抗衰老技术综述
随着全球人口老龄化的加速,抗衰老技术的研究及其应用逐渐成为生物医学领域的热点问题之一。近年来,以机器学习、深度学习和认知计算为代表的人工智能技术为生物医学研究提供了前所未有的方法和工具,并为抗衰老这一综合性、前沿性的研究课题带来了突破。本文首先论述了人工智能技术在抗衰老中的应用目前需要解决的问题和挑战;然后总结了人工智能在抗衰老基础应用方面的数据研究现状,分析探讨了人工智能技术在衰老结构三维重建、衰老生物标志物、抗衰老药物开发等前沿应用领域的研究进展;最后对未来的发展趋势进行了展望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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