Katja Sockel

Deep learning predicts IDH1 mutation status in acute myeloid leukemia from bone marrow smears

Abstract Acute myeloid leukemia (AML) with IDH1 mutations is amenable to targeted therapy, highlighting the need for reliable identification. We developed an attention-based multiple-instance learning model to predict IDH1 mutation status using bone marrow smear whole-slide image...

Systemic Metabolic Changes in Plasma of Patients with Myelodysplastic Neoplasms and Chronic Myelomonocytic Leukemia

Background: Myelodysplastic neoplasms (MDSs) are clonal hematopoietic stem cell disorders associated with ineffective hematopoiesis, chronic inflammation, and increased cardiovascular morbidity. Although metabolic dysregulation has been implicated in MDS pathogenesis, systemic me...