Building digital life systems for future biology and medicine

Author:

Zhang Xuegong123,Wei Lei1,Jiang Rui1,Wang Xiaowo12,Gu Jin1,Xie Zhen12,Lv Hairong1

Affiliation:

1. MOE Key Lab of Bioinformatics and Bioinformatics Division of BNRIST Department of Automation Tsinghua University Beijing 100084 China

2. Center of Synthetic and Systems Biology Tsinghua University Beijing 100084 China

3. School of Life Sciences and School of Medicine Tsinghua University Beijing 100084 China

Abstract

The rapid development of biological technology (BT) and information technology (IT) especially of genomics and artificial intelligence (AI) is bringing great potential for revolutionizing future medicine. We propose the concept and framework of Digital Life Systems or dLife as a new paradigm to unleash this potential. It includes the multi‐scale and multi‐granule measure and representation of life in the digital space, the mathematical and/or computational modeling of the biology behind physiological and pathological processes, and ultimately cyber twins of healthy or diseased human body in the virtual space that can be used to simulate complex biological processes and deduce effects of medical treatments. We advocate that dLife is the route toward future AI precision medicine and should be the new paradigm for future biological and medical research.

Publisher

Wiley

Subject

Applied Mathematics,Computer Science Applications,Biochemistry, Genetics and Molecular Biology (miscellaneous),Modeling and Simulation

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Real-time visualization of dextran extravasation in intermittent hypoxia mice using noninvasive SWIR imaging;American Journal of Physiology-Heart and Circulatory Physiology;2024-04-01

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