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Mapping Neurodevelopment in Preterm Infants Using Machine Learning

A multidisciplinary team applied deep‑learning algorithms to longitudinal MRI and EEG datasets from preterm infants, creating a predictive model of brain maturation. The model achieved over 85% accuracy in forecasting neurodevelopmental outcomes such as cognitive delay and cerebral palsy. By integrating clinical variables like gestational age and birth weight, the system generates individualized developmental trajectories. Researchers suggest the tool could guide early therapeutic decisions within neonatal intensive care units.