Northwestern University researchers developed AI-powered transfer learning to predict gene perturbation combinations for transforming cell types or restoring diseased cells.
Northwestern University researchers developed an AI-powered transfer learning approach that uses publicly available data to predict gene perturbation combinations for transforming cell types or restoring diseased cells to health. This new study leverages advancements in gene sequencing and computing, creating a nexus for AI to design strategies for controlling cell behavior. The research will be published in the Proceedings of the National Academy of Sciences.
March 04, 2024
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