第四次工业革命时代的分子生命科学:测序,多omics和人工智能
Lee Keenan1, R Lorna Younger1, Paul R Race1
1School of Natural and Environmental Sciences, Newcastle University, Newcastle upon Tyne, NE1 7RU, U.K.
Emerging topics in life sciences
|December 12, 2025
概括
人工智能 (AI) 正在彻底改变分子生命科学研究,特别是在多omics. 人工智能与高通量测序的整合使复杂的生物数据能够快速分析,加速科学发现.
科学领域:
- 分子生命科学 分子生命科学
- 生物技术是生物技术.
- 生物信息学是一种生物信息学.
背景情况:
- 第四次工业革命正在改变科学研究方法.
- 人工智能 (AI) 越来越多地融入到分子生命科学中.
- 启用技术已经成熟,并在实验室实践中成为标准.
研究的目的:
- 审查人工智能 (AI) 在多学科研究中的整合.
- 概述人工智能对分子生命科学目前的影响.
- 预测人工智能驱动的多态经济的未来研究方向.
主要方法:
- 综述当前关于人工智能在多领域应用的文献.
- 分析人工智能和高通量测序之间的协同作用.
- 讨论AI在解构复杂的生物数据集中的作用.
主要成果:
- 人工智能是合成生物学,工业生物技术和药物发现进步的关键驱动力.
- 人工智能和多omics的结合允许前所未有的数据分析能力.
- 复杂的数据集可以在显著缩短的时间尺度上进行解构.
结论:
- 人工智能集成对未来的多学科研究至关重要.
- 人工智能增强了解释大规模生物数据的能力.
- 人工智能的持续进步将进一步加速分子生命科学的发现.
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