Metabolomic signatures support the diagnostics of peritoneal endometriosis using generalised linear models

Alexander Cecil K. Vouk Maja Novak Pušić A. Vogler R. Wenzl C. Prehn Jerzy Adamski Tea Lanišnik Rižner

Jul 2026 · bioRxiv · 0 citations · 113 references

Biology

TL;DR

Using generalized linear models (GLMs) and machine learning, the study identified specific metabolite ratios as potential biomarkers that can distinguish different types of endometriosis and enable mass spectrometry-based diagnostics for peritoneal endometriosis.

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