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Abstract Background and objectives: Predicting mortality in very low-birth-weight (VLBW) infants remains a critical challenge in neonatology. While traditional scoring systems and standard machine learning models are widely used, they often fail to capture the complex, non-linear interactions and time-dependent dynamics of neonatal clinical courses.
Abstract Background and objectives: Bronchopulmonary dysplasia (BPD) remains a significant complication linked to prematurity, especially in infants with very and extremely low birth weights. A major challenge in identifying prognostic biomarkers is the biological noise in blood samples, which masks the specific signals of BPD. This study aimed to identify candidate miRNA markers in the blood and develop integrated models for early BPD risk assessment.
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
