Severe thrombocytopenia—defined as a platelet count below 50 × 10⁹/L—is common in extremely premature babies, but routine prophylactic transfusions have uncertain advantages and may introduce new complications. This “landmarking” approach, combined with a clone-censor-weight method, allowed for dynamic updates of each infant’s risk profile as their condition evolved. Model performance was strong, with a time-dependent area under the receiver operating characteristic curve of 0.69 for the prophylactic transfusion strategy. The authors conclude that their individualized risk algorithm offers a promising step toward more precise, evidence-based management of severe thrombocytopenia in preterm infants. Individualized Prediction of Platelet Transfusion Outcomes in Preterm Infants With Severe Thrombocytopenia.