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GloResNet: A lightweight 3D CNN with global topological features for preterm brain injury prediction
arXiv:2606.02498v1 Announce Type: new Abstract: This study introduces an automated deep learning framework for predicting brain injury (BI) in preterm infants from T2-weighted MRI (dHCP dataset). We propose GloResNet, a lightweight 3D CNN based on ResNet-10, pretrained on MedicalNet to address data scarcity. A global manifold mapping strategy first resamples each 3D volume to 128x128x128 and then applies subject-wise z-score intensity normalization, thereby preserving global topology while...
Choriodecidual Ureaplasma parvum infection induces fetal lung inflammation prior to intra-amniotic infection in a nonhuman primate model
Preterm birth before 28 weeks remains a leading cause of neonatal mortality and long-term morbidity. Intrauterine infection-driven chorioamnionitis is strongly associated with preterm labor, fetal inflammatory response syndrome, and neonatal lung disease. Ureaplasma species are among the most common organisms isolated in chorioamnionitis and are frequently detected in the placenta, amniotic fluid, and respiratory tract of preterm infants.
Climate change: How do heatwaves affect pregnancies across Europe?
As heatwaves become more frequent and intense, pregnant people face significant consequences. But are they all equally at risk? Europe experienced an "unprecedented and historic" heatwave in the last week of May, with temperatures across parts of the continent reaching around 10°C to 15°C above the average for this time of the year.
Smoke engulfed their cities. Did it make their children sick?
Mothers fear children's chronic illnesses are linked to bushfire smoke during pregnancy Sun 31 May 2026 at 5:16am Six years after Black Summer bushfires, parents and doctors face an unsettling question: What does bushfire smoke do to babies in the womb? This story is a collaboration between the ABC's climate team and climate media organisation Grist. They never thought the fires would reach them.
Systematic estimates of global causes of neonatal and under 5 mortality in 2000-24: secondary data analysis using bayesian multinomial logistic regression
AbstractObjectiveTo estimate cause specific mortality among neonates and children under 5 for 195 countries from 2000 to 2024.DesignSecondary data analysis using a Bayesian multinomial logistic regression model to estimate cause specific mortality fractions. Data sourcesPubMed, Embase, Web of Science, SCOPUS, Cochrane, Global Health Index Medicus, PAHO, Global Health OVID, Africa-Wide Information, IndMed, WHO Mortality Database, Demographic and Health Surveys (DHS), Multiple Indicator...