This week on the Nature Podcast: AI identifies gene interactions to speed up search for treatment targets
Your browser does not support the audio element.Mapping the network of genes that control cellular processes can be difficult to do when gene-expression data is sparse, such as in rare diseases or those affecting tissues that are hard to clinically sample.
To overcome this, a team has developed an artificial intelligence system trained on a large, general dataset, and used it to make predictions about gene interactions in data-limited situations. As a test-case they look at the heart condition cardiomyopathy, and show that the system can identify potential interactions that could represent new therapeutic targets.Microbes that can break down persistent ‘forever chemicals’, and why intermolecular distances are the key to keeping gummy sweets chewy.
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