Results 311 to 320 of about 3,122,070 (390)

Factors affecting the umbilical artery Doppler reference values in the second and third trimesters

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective To explore the contribution of selected methodological factors to the heterogeneity in published umbilical artery pulsatility index (UA‐PI) reference charts. Methods Cross‐sectional study of uncomplicated singleton pregnancies that underwent assessment of UA Doppler at a single center.
Sophia Rahimi   +4 more
wiley   +1 more source

Burden of infant mortality associated with flood in 37 African countries. [PDF]

open access: yesNat Commun
Zhu Y   +8 more
europepmc   +1 more source

Adverse perinatal outcomes associated with macrosomia in nulliparous women: A multicenter cohort study

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective Our study aimed to evaluate the combined risk of macrosomia and nulliparity. We investigated whether macrosomia is independently associated with an increased rate of intrapartum cesarean delivery (CD) and adverse maternal and neonatal outcomes among nulliparous women delivering at term.
Tzuria Peled   +6 more
wiley   +1 more source

Long-term drought and risk of infant mortality in Africa: A cross-sectional study. [PDF]

open access: yesPLoS Med
Wang P   +7 more
europepmc   +1 more source

Application of Artificial Intelligence in Clinical Microbiology: From Research to Practice

open access: yesiLABMED, EarlyView.
This paper reviews the application of AI in clinical microbiology practice at home and abroad, including rapid pathogen identification, accurate characterization of microbial resistance patterns, optimization of laboratory workflows, and public health interventions.
Ting Ding, Yi‐Wei Tang, Xiaoke Hao
wiley   +1 more source

Saliva MicroAge: A salivary microbiome based machine learning model for noninvasive aging assessment and health state prediction

open access: yesiMetaOmics, EarlyView.
Saliva MicroAge is a machine learning‐based model designed to estimate biological age and assess health status using globally sourced salivary microbiome data. Trained on 4532 healthy samples, the model achieves high accuracy in predicting chronological age and captures health‐related deviations (MicroAgeGap) in various diseases.
Tiansong Xu   +13 more
wiley   +1 more source

Mapping stillbirth and infant mortality rates: a district-wise exploration using civil registration system reports of Karnataka. [PDF]

open access: yesPorto Biomed J
Melepurakkal Sadanandan D   +5 more
europepmc   +1 more source

Bifenthrin Under Scrutiny: Revisiting Toxicological Evidence Amid Regulatory Gaps

open access: yesJournal of Applied Toxicology, EarlyView.
ABSTRACT Despite growing health concerns, bifenthrin (BF) remains widely used for controlling agricultural and residential pests. However, different perspectives on its toxicological profile and regulatory framework warrant a revisit and update on BF regulation towards a robust risk‐safety assessment.
Caroline V. L. Moreira   +10 more
wiley   +1 more source

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