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Published on: May 25, 2013
How to build an AI-driven digital organism
Le Song1,2, Eran Segal1,2,3, Eric Xing4,5,6
1GenBio AI, Palo Alto, CA, USA.
Nature Medicine
|August 13, 2026
Summary
This perspective proposes an AI-driven digital organism (AIDO) to model and simulate complex biology. AIDOs offer a safe, affordable platform for predicting and programming life, advancing biological understanding and experimentation.
Area of Science:
- Computational Biology
- Artificial Intelligence in Life Sciences
- Systems Biology
Background:
- Biology is fundamental to medicine, public health, and longevity.
- Current biological research faces limitations due to complexity, cost, and risk.
- Need for advanced simulation and prediction tools in life sciences.
Purpose of the Study:
- To propose a vision for using AI to model and simulate biological systems.
- To introduce the concept of an AI-driven digital organism (AIDO).
- To outline how AIDO can revolutionize biological research and application.
Main Methods:
- Developing an AI-driven digital organism (AIDO) using integrated multiscale foundation models.
- Designing AIDO in a modular, connectable, and holistic manner.
- Simulating biological processes across molecular, cellular, and individual levels.
Main Results:
- AIDO provides a safe, affordable, and high-throughput platform for biological simulation.
- Enables prediction and programming of biological functions.
- Facilitates better-guided wet-lab experiments and first-principle reasoning.
Conclusions:
- AI-driven digital organisms (AIDOs) represent a paradigm shift in biological research.
- AIDOs can accelerate decoding and improving life.
- This approach promises to enhance our understanding and manipulation of biological systems.
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