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Neonatal respiratory distress syndrome is a potentially life-threatening condition that is often treated with the delivery of exogenous surfactants through a process called surfactant replacement therapy. This therapy includes the administration of the liquid surfactant through an endotracheal tube and mechanical ventilation. Due to the difficulty of imaging neonate lungs during this therapy, the success of surfactant delivery is often determined by observational techniques and evaluation of blood oxygen levels. The limitation of imaging creates challenges in evaluating the distribution of surfactant in airways. To address this limitation, we designed a computational, eight-generation, asymmetric neonate lung model using morphometric data to mimic the geometric structure of the human airway tree and fabricated it using an additive manufacturing technique. We used our model to study two-aliquot delivery of a clinically rated liquid surfactant under two different orientations to evaluate its distribution in airways. Our study offers a complex lung airway tree design that mimics the native geometry of the human airway tree to enable studies of therapeutics transport in airways.