NEW YORK (GenomeWeb) – Scientists have identified patterns of gene expression that could be used to create a non-invasive diagnostic test for endometriosis, using machine learning to analyze transcriptome data obtained from microarray testing of uterine tissue.

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Sometimes genetic tests give inconclusive results and provide little reassurance to patients, the Associated Press reports.

Vox wonders whether gene-editing crops will be viewed similarly as genetically modified organisms of if people will give them a try.

In Science this week: research regulation and reporting requirement reform, and more.

With H3Africa, Charles Rotimi has been working to bolster the representation of African participants and African researchers in genomics, Newsweek reports.