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Updated: Feb 13, 2026

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为未来的生物学和医学构建数字生命系统
Xuegong Zhang1,2,3, Lei Wei1, Rui Jiang1
1MOE Key Lab of Bioinformatics and Bioinformatics Division of BNRIST Department of Automation Tsinghua University Beijing 100084 China.
Quantitative biology (Beijing, China)
|February 12, 2026
概括
数字生命系统 (dLife) 整合了生物和信息技术,用于革命性的医学. 这种新的范式使虚拟人类能够成为虚拟人类.
科学领域:
- 生物医学工程 生物医学工程
- 计算生物学 计算生物学
- 数字健康数字健康
背景情况:
- 生物技术 (BT) 和信息技术 (IT) 的快速进步,特别是基因组学和人工智能 (AI).
- 现有的医学研究范式可能无法充分利用综合 BT 和 IT 的潜力.
研究的目的:
- 引入数字生命系统 (dLife) 的概念和框架,作为未来医学的新范式.
- 概述dLife如何利用基因组学和人工智能的潜力来实现医学进步.
主要方法:
- 多尺度和多粒度测量和生命的数字表示.
- 物理和病理生物学过程的数学和计算建模.
- 开发人类身体的虚拟网络双胞胎,用于模拟和治疗效应减去.
主要成果:
- 提出了一个框架,用于创建生物系统的数字表示.
- 能够模拟复杂的生物过程,并预测治疗结果.
- 奠定了人工智能驱动的精准医学的基础.
结论:
- 数字生命系统 (dLife) 代表了生物和医学研究的新范式.
- dLife对于实现人工智能驱动的精密医学的未来至关重要.
- 这种方法将彻底改变我们研究和治疗疾病的方式.
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