S23-017 Quantitative AML patient risk assessment using RNA signatures associated with sensitivity and resistance to immune cell killing Stanford researchers have discovered RNA signatures that can be used to predict patient outcomes and identify optimal treatments in acute myeloid leukemia. Maria-Grazia Roncarolo Alma-Martina Cepika Ece Sayitoglu Bogdan Luca