Cerebroplacental ratio and middle cerebral artery doppler indices as associations with maternal and neonatal outcomes in term pregnancies undergoing labor induction or augmentation: A cross-sectional study. [PDF]
Bahadori F +3 more
europepmc +1 more source
AI‐based tools enable rapid characterization of bacterial ultrastructure in low‐dose cryogenic transmission electron microscopy. The envelope thickness tool quantifies membrane thickness and anisotropy. The flagella module analyzes filament morphology and detects cell‐flagella contacts.
Sita Sirisha Madugula +10 more
wiley +1 more source
Assessing the impact of indication for labor induction on delivery outcomes: a five-year cohort study. [PDF]
Kruit H, Gissler M, Rahkonen L.
europepmc +1 more source
AS‐pHopt: An Optimal pH Prediction Model Enhanced by Active Site of Enzymes
To address the low accuracy of enzyme optimal pH (pHopt) prediction, this study develops active site‐based pHopt (AS‐pHopt), a prediction model enhanced by active site information and pseudo‐label prediction. Integrating key structural and physicochemical features affecting enzyme pHopt, AS‐pHopt uses Evolutionary Scale Modeling (ESM)‐2 with active ...
Wenxiang Song +6 more
wiley +1 more source
Comparison of Materno-Neonatal Outcomes Between Cook Balloon and Prostaglandin Methods in Labor Induction Among Pregnancies Complicated by Fetal Growth Restriction: A Retrospective Cohort Study from France. [PDF]
Nguyen PN, Ramos A, Marret H.
europepmc +1 more source
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi +2 more
wiley +1 more source
Comparison of the efficacy and safety of misoprostol and a Cook cervical ripening double-balloon catheter, alone and in combination, for cervical ripening and induction of labor. [PDF]
Xu D, Sun Y, Chi Z, Zhao A, Zheng H.
europepmc +1 more source
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley +1 more source
Comparison of Different Methods of Labor Induction and Their Maternal and Neonatal Outcomes: A Systematic Review and Meta-Analysis. [PDF]
Okobi OE +7 more
europepmc +1 more source
How much material loss is concealed beneath a layer of corrosion products? This proof‐of‐concept study demonstrates how concealed volume loss is inferred from the optical appearance and as‐exposed surface topography of AZ31 corrosion imprints. By predicting postcleaning depth maps, a multimodal U‐Net model estimates hidden volume loss without chromic ...
Lars Dammann +8 more
wiley +1 more source

