Author
Torsten Haferlach
Recent research
- AI & ComputingOpen access
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...
- Health & MedicineOpen access
Response assessment criteria in patients with higher-risk myelodysplastic syndromes/neoplasms (HR-MDS) have been updated in the 2023 International Working Group (IWG) criteria. However, validation of these criteria has been limited to date. We analyzed overall survival (OS) by be...
- Health & MedicineOpen access
Two cases of an imatinib-sensitive PRKG2::PDGFRA-positive chronic myeloid neoplasm with basophilia
The clinical and morphological phenotype of myeloid/lymphoid neoplasms with tyrosine kinase (TK) gene fusions (MLN-TK) is influenced by both the TK and the partner gene [ 1 ]. Here, we report on two patients with an initial diagnosis of a chronic myeloid neoplasm with prominent b...
- Health & Medicine
Baseline IPSS-M risk, response to hypomethylating agent (HMA) therapy, and receipt of allogeneic stem cell transplant (allo-HCT) have all been individually shown to impact overall survival (OS) in patients with myelodysplastic syndromes (MDS). However, the prognostic impact of re...