DeepMPTB: a vaginal microbiome-based deep neural network as artificial intelligence strategy for efficient preterm birth prediction

DeepMPTB: a vaginal microbiome-based deep neural network as artificial intelligence strategy for efficient preterm birth prediction

Abstract In recent decades, preterm birth (PTB) has become a significant research focus in the healthcare field, as it is a leading cause of neonatal mortality worldwide. Using five independent study cohorts including 1290 vaginal samples from 561 pregnant women who delivered at term (n = 1029) or p...

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Bibliographic Details
Main Authors: Oshma Chakoory, Vincent Barra, Emmanuelle Rochette, Loïc Blanchon, Vincent Sapin, Etienne Merlin, Maguelonne Pons, Denis Gallot, Sophie Comtet-Marre, Pierre Peyret
Format: Article
Language:English
Published: BMC 2024-02-01
Series:Biomarker Research
Subjects:
Preterm birth
Vaginal microbiome
Predictive diagnosis
Deep neural network
Artificial intelligence
Machine learning
Online Access:https://doi.org/10.1186/s40364-024-00557-1

Internet

https://doi.org/10.1186/s40364-024-00557-1

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