A machine-learning model developed by DeepMind evaluated 71 million variations in human proteins for their likelihood to cause disease.
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A machine-learning model evaluated 71 million variations in human proteins for their likelihood to cause diseaseMutations in the HBB gene, left, a beta-globin protein that is one of the subunits of hemoglobin, can cause sickle cell. Mutations in CFTR, a particular type of protein called an ion channel, can cause cystic fibrosis.One of the greatest challenges biologists face is figuring out which of the myriad variations in a person’s genetic code might make them sick.
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