By analyzing data from more than 1.3 million cells, the model can identify gene expression patterns even in cell types it has not encountered before. This discovery could transform our understanding of diseases such as cancer and genetic disorders.
AI was able to predict the consequences of mutations in childhood leukemia by showing how specific gene changes disrupt cell behavior. The accuracy of the system has been confirmed by experimental results, making it a promising tool for studying unexplored regions of the genome, especially those associated with cancer, the scientists said.
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Source: Ferra
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