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Quine represents a significant step toward integrating multimodal biological data into a unified computational framework, addressing the inherent complexity of life sciences that isolated models often fail to capture. By enabling researchers to computationally prioritize hypotheses before wet-lab validation, this system aims to accelerate discovery in areas like oncology and immunology while maintaining rigorous scientific oversight.
Sources coveringMicrosoft Research, Quantum Zeitgeist, Latent Space, The Quantum Insider
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Introducing Quine: An AI research system designed for the complexity of biology

Microsoft Research9 min read

Biology doesn't operate in silos, and neither should the AI representation of it. Quine is an early-stage research effort to create a multimodal world model of biology. By connecting insights across biological scales and modalities, Quine helps scientists computationally search a space far larger than intuition allows and prioritize hypotheses before they reach the lab. Experimental results provide important feedback, helping researchers sharpen future research directions. The post Introducing Quine: An AI research system designed for the complexity of biology appeared first on Microsoft Research.

Quine (opens in new tab) is a research effort to create a multimodal world model of biology and an interactive harness connecting models, scientific tools, literature, and researchers. In collaboration with researchers at the Broad Institute of Harvard and MIT, we have used this system to prioritize compounds predicted to drive therapeutic tumor-state shifts and validated several top-ranked candidates across multiple wet-lab assays. The Quine Fellows program (opens in new tab) will give a cohort of scientists access to the system and an opportunity to accelerate their own research and provide scientific feedback. Quine is experimental research technology intended only for research, not clinical or medical use, and its outputs may be incomplete or inaccurate and require review by qualified researchers and appropriate scientific and experimental validation. As the technology matures, we expect to expand access through products like Microsoft Discovery (opens in new tab). For more than two decades, Microsoft Research has worked at the intersection of computation and biology. Our research has spanned immunology, virology, genomics, biomedical imaging, cell biology,…

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