Researchers reported a machine-learning system that predicts bronchopulmonary dysplasia (BPD) seven days after birth using respiratory data. The study, published in Pediatrics, targets a long-standing clinical challenge: BPD typically becomes evident only weeks later, narrowing the window for early, targeted interventions. The reported speed and early timing position the model as a potential bedside decision-support tool for preterm care teams. Clinicians could use earlier forecasts to adjust monitoring intensity and consider preventive strategies sooner. The report adds momentum to efforts to automate risk detection in neonatal intensive care with rapid, interpretable clinical signals.