Exploratory model links vaginal microbiota and metabolites to preterm birth risk
An exploratory second-trimester model combining vaginal microbiota sequencing and metabolomics showed internally validated discrimination for preterm birth risk.
An exploratory second-trimester model combining vaginal microbiota sequencing and metabolomics showed internally validated discrimination for preterm birth risk.
A retrospective Chinese cohort study validated a four-variable admission score that stratified vaginal deliveries into low, moderate and high preterm ...
A new deep learning model called CWT-AuxNet converts wavelet-based time-frequency representations of uterine electrical recordings into individualized preterm birth risk ...
A new study in Nature Communications suggests that the immune system’s “miscalibration” may begin well before the first clinical signs ...
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© 2025 Scienmag - Science Magazine