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How to build an AI-driven digital organism

Nature Medicine, Published online: 13 August 2026; doi:10.1038/s41591-026-04595-0 Manipulating biology in the physical world is complex; the authors envision an AI-driven digital organism—a system of integrated multiscale foundation models—detailing how to construct and use such a model to advance biological and medical research.

Biology plays a crucial role in medicine, pharmacy, public health and longevity. Modeling and simulating biology in the physical world is complex, expensive and risky. An AI-driven digital organism (AIDO) could provide a safe, affordable and high-throughput alternative platform for predicting, simulating and programming biology.

The AIDO would consist of integrated multiscale foundation models, reflecting biological scales, connectedness and complexities. It could help guide wet-lab experiments and inform first-principle reasoning, ultimately aiding in decoding and improving life. Several recent studies have explored foundation models for various aspects of biology, including genomics, protein structure prediction, single-cell transcriptomics, and biomedical text generation.

These efforts demonstrate the potential for AI to revolutionize our understanding and manipulation of biological systems.

Written by urgent.news from Nature Medicine's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at nature.com →

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