Endometriosis biomarker tests rely on a range of technologies, including single-cell RNA sequencing and mass spectrometry that can identify thousands of proteins simultaneously. “These instruments are very good at precisely identifying a molecule, in [our] case a protein. And what’s changed over the last five or 10 years is they’ve gotten more sensitive,” says Proteomics cofounder Richard Lipscombe. Machine learning can also now efficiently sift through large quantities of the resulting data.
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