Article

Generative genomics accurately predicts future experimental results

2025-09-09

Abstract excerpt

<h4>ABSTRACT</h4> Realizing AI’s promise to accelerate biomedical research requires AI models that are both accurate and sufficiently flexible to capture the diversity of real-life experiments. Here, we describe a generative genomics framework for AI-based experimental prediction that mirrors the process of designing and conducting an experiment in the lab or clinic. We created GEM-1 (Generate Expression Model-1)...

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Literature Corpus work: 5c7d433a-9639-5e0e-bfd8-45e513fc05b4
DOI: 10.1101/2025.09.08.674753

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