Harnessing vaginal inflammation and microbiome: a machine learning model for predicting IVF success

Harnessing vaginal inflammation and microbiome: a machine learning model for predicting IVF success

Abstract Humans are the only species with a commensal Lactobacillus-dominant vaginal microbiota. Reproductive tract microbes have been linked to fertility outcomes, as has intrauterine inflammation, suggesting immune response may mediate adverse outcomes. In this pilot study, we compared vaginal mic...

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Main Authors: Ofri Bar, Stylianos Vagios, Omer Barkai, Joseph Elshirbini, Irene Souter, Jiawu Xu, Kaitlyn James, Charles Bormann, Makiko Mitsunami, Jorge E. Chavarro, Philipp Foessleitner, Douglas S. Kwon, Moran Yassour, Caroline Mitchell
Format: Article
Language:English
Published: Nature Portfolio 2025-06-01
Series:npj Biofilms and Microbiomes
Online Access:https://doi.org/10.1038/s41522-025-00732-8
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https://doi.org/10.1038/s41522-025-00732-8

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