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...
Saved in:
| 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 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Association between changes in genital immune markers and vaginal microbiome transitions in bacterial vaginosis
by: Philipp Foessleitner, et al.
Published: (2025-01-01) -
Differential characteristics of vaginal versus endometrial microbiota in IVF patients
by: Alina Polifke, et al.
Published: (2024-12-01) -
Endolysin selectively kills Gardnerella ex vivo in vaginal samples from women with bacterial vaginosis
by: Lenka Podpera Tisakova, et al.
Published: (2025-08-01) -
Advanced KPI framework for IVF pregnancy prediction models in IVF protocols
by: Sergei Sergeev, et al.
Published: (2024-11-01) -
Vaginal microbiota alterations under supraphysiological estradiol state during in vitro fertilization-embryo transfer (IVF-ET) and the association with reproductive outcomes
by: Xijing Chen, et al.
Published: (2025-08-01)