Mentor Name: Richard Aplenc

This project seeks to develop the data needed to define outcomes after relapse of pediatric acute myeloid leukemia. These data will be used as real world data to understand the optimal re-induction strategies for patients who AML relapses. The project focuses on manual chart abstraction to obtain these data from 14 centers across the United States. This data abstraction will be combined with advanced biostatistical and epidemiological analyses to determine the optimal therapy for children with relapse AML.