MIT AI framework reveals holistic view of cell biology across measurement types

Researchers at MIT's Broad Institute and ETH Zurich developed an AI framework that learns which cell-state information is shared across different measurement modalities (proteins, gene expression, morphology) and which is unique to each type. By combining data from multiple measurement techniques into a unified model, the approach provides a more complete picture of cellular interactions. This could help scientists track cancer progression, neurodegenerative disorders, and metabolic diseases more effectively.

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