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How to build an AI-driven digital organism
Brief published August 14, 2026 ยท Original source published August 13, 2026
Original reporting by Le Song, Eran Segal, Eric Xing at nature.com.
Automated brief. Verify important details at the original source.
What happened
Researchers writing in Nature outline a framework for building what they call an AI-driven digital organism, conceived as a system of integrated multiscale foundation models. The proposal addresses the complexity of manipulating biology in the physical world by shifting experimentation into a computational environment. The authors describe both how to construct such a system and how it could be applied to advance biological and medical research, drawing on prior foundation model work including the Nucleotide Transformer and related preprints.
Why it matters
A unified multiscale foundation model covering biological organization from molecules to tissues could compress experimental cycles and reduce reliance on costly wet-lab work. If the framework proves tractable, it may shift how researchers prototype hypotheses before committing to physical experiments, with implications for drug discovery and disease modeling.
What to watch
The core unresolved question is whether integrated multiscale foundation models can faithfully capture cross-scale biological dynamics, or whether the complexity that makes physical manipulation difficult will simply reappear as modeling error.