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AI identifies gene interactions to speed up search for treatment targets

Nature Podcast

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The Role of Genes in Cardiomyopathy

Geneformer came up with a list of priority genes, ones which it predicted would improve the state of the cell if removed from the network. The team set about testing heart muscle cells, known as cardiomyocytes, to see if inactivating the genes could make a difference. And they found something. We were able to identify candidate therapeutic targets that when we tested them experimentally in the lab, did indeed improve the function of contracting of these heart muscle cells. So we were able to use this transfer learning approach to make new discoveries and biological insights.

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