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

• 主要な著者: Oshma Chakoory (著者), Vincent Barra (著者), Emmanuelle Rochette (著者), Loïc Blanchon (著者), Vincent Sapin (著者), Etienne Merlin (著者), Maguelonne Pons (著者), Denis Gallot (著者), Sophie Comtet-Marre (著者), Pierre Peyret (著者)
• フォーマット: 図書
• 出版事項: BMC, 2024-02-01T00:00:00Z.
• 主題: article
• オンライン･アクセス: Connect to this object online.

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...