Source: healthitanalytics.com A deep learning tool could improve genomic sequencing processes, identifying disease-causing mechanisms that might otherwise be missed by traditional screening methods, according to a study published in Nature Machine Intelligence. Researchers from Children’s Hospital of Philadelphia (CHOP) and New Jersey Institute of Technology (NJIT) developed the tool, which can help predict sites of DNA methylation – Read More

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Artificial Intelligence