Eckardt et al. used a multi-step deep learning methodology to separate cells from pictures of BM to discriminate between acute myeloid leukemia (AML) and healthy cells and to forecast the state of the Nucleophosmin 1 (NPM1) mutation, the most prevalent mutation in AML. Here, NPM1 is linked to acute myeloid leukemia.