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Microsoft has launched the Quine project, an experimental multimodal artificial intelligence system that integrates computational biology models with laboratory experiments to accelerate drug discovery and prioritize candidate therapeutic compounds. The system relies on a unified global model covering genomics, proteins, chemistry, and cell states, enabling researchers to virtually screen compounds before conducting laboratory tests. This approach reduces experimental procedures and enhances the identification of effective treatment pathways. Tests have demonstrated the system’s ability to rapidly classify compounds and detect unexpected cellular responses, though it remains in the research phase and requires careful human review. The company aims to expand the system’s use through specialized programs for researchers, with the goal of reducing the overall time and costs associated with drug development.
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