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    Deep Genomics

    AI for RNA therapeutics

    Technology

    How Deep Genomics’s technology works — architecture, AI models, and technical capabilities.

    How does Deep Genomics work?

    Deep Genomics utilizes its proprietary AI platform to analyze vast RNA biology data, identifying novel therapeutic targets and evaluating thousands of possibilities to find the best candidates. This data-driven approach enables the programming of therapies for any gene and genetic condition.

    What technology powers Deep Genomics?

    Deep Genomics is powered by its proprietary AI platform, which includes foundation models like BigRNA. This platform integrates diverse datasets and machine learning systems to predict RNA expression and discover new biological mechanisms.

    What are Deep Genomics's main features?

    Key features of Deep Genomics include its ability to predict RNA expression at sub-gene resolution, identify novel biological mechanisms, and design therapeutic candidates across various species and tissues. The platform supports data-driven predictions and positive feedback loops for continuous improvement.

    What type of AI does Deep Genomics use?

    Deep Genomics employs foundation models and large language models within its AI platform. These models are designed to learn fundamental aspects of biology and chemistry, enabling the discovery of a wide range of new biological mechanisms and therapeutic candidates.

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